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Edge computing is a term that’s getting thrown around more and more these days, though often unaccompanied by an easy-to-digest definition of what exactly Edge Computing means. Usually, explanations are either too aggressively full of technical jargon for a layman to decipher or too vague to provide a meaningful, clearcut understanding of what Edge Computing really is, why it’s useful, and why so many more organizations are turning to it as a way of handling emerging IT obstacles and improving the power of other technologies, namely Cloud Computing and IoT. 

What is Edge Computing?

Cloud Computing and IoT Explained

Before we can illustrate the mechanics of Edge Computing, it’s important to first understand how cloud computing — a completely different technology and term that is in no way interchangeable with Edge Computing — works and the current obstacles it faces.

Cloud computing delivers computing power over the Internet by connecting users to powerful servers maintained and secured by a third-party. This lets users leverage the computing power of those servers to process data for them.

Cloud computing services like the Microsoft Azure cloud, Amazon Web Services, the Google Cloud Platform and the IBM Cloud allow users to avoid the substantial upfront costs that come with creating a heavy-duty local server setup as well as the responsibility of maintaining and securing that server. This affords people and companies a “pay-as-you-go model” option for their information processing needs, with costs varying with use.

The Internet of Things, or IoT is a related concept that involves the networking of everyday devices over the Internet via cloud computing. This allows non-computer devices to speak to each other, gather data, and be controlled remotely without being directly connected to each other.

Take, for example, a home security camera. The camera can send its information to the cloud via the home Wi-Fi network, while the user can access the data via their phone while at work. Neither device needs to be directly connected to one another, only the internet.

This way the user can send and receive information through a server that both devices connect to via their internet connection.

This same model can be used in all sorts of ways; everything from smart home technology like smart lights, smart ACs, and other appliances, to industrial safety mechanisms like heat and pressure sensors can use IoT to increase automation and create actionable data.

By allowing devices to connect with one another wirelessly, IoT helps reduce human workload and improve overall efficiency for both consumers and producers.

Obstacles Facing Cloud Computing and IoT

While IOT continues to grow, with applications being used in nearly every industry, the burden on data centers used for cloud computing is increasing exponentially. The demand for computational resources is beginning to exceed the supply of said resources, reducing overall availability.

When cloud computing first emerged, the only devices connecting to it were client computers, but, as IoT has exploded, the amount of data that needs to be processed and analyzed has reduced the amount of computational power available at any one moment. This slows data processing speeds and increases latency, bringing down performance on the network. 

This Is Where Edge Computing Comes In

Now that you understand cloud computing, IoT, and the obstacles that face Both technologies, the concept of Edge Computing should be easy to understand.

In simple terms, edge computing places more of the workload locally where the data is first collected, rather than on the cloud itself. As its name suggests, Edge Computing aims to place more of the burden of data processing closer to the source of the data (i.e. at the “edge” of the network).

This means, for example, finding ways to do some of the work that would be done at the data center on the local device before sending it off, reducing both processing time (latency) as well as bandwidth. In the context of a security camera, this would mean developing software that discriminates against data based on certain priorities, picking and choosing which data to send to the cloud for further processing.

This way, the data center need only process perhaps 45 minutes or so of important data, rather than a full 24 hours of video. This lessens the burden on data centers, reduces the amount of information that needs to travel between the devices, increases the overall efficiency of the network. 

Speed and processing power have become especially important with the rise of more demanding technologies. Earlier uses of IoT in cloud computing required smaller amounts of data to be processed and were generally less time-sensitive.

A self-driving car requires cloud computing to be able to receive updates, send information, and communicate with other servers over the internet. It does not, however, have the luxury of limiting its processing power according to the availability of that connection.

This combination of increased local workload and sustained cloud connectivity is a prime example of edge computing and how similar system architecture can improve the efficiency of all the technologies involved.

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Internet Of Things (Iot) Edge Computing Market

The Internet of Things (IoT) edge computing market is tightly correlated with the IoT market in general, but despite a common misconception that edge and IoT are synonymous, these terms are mutually exclusive. 

Edge computing can be described as a distributed computing approach that brings computational capabilities and data stores closer to the primary sources of data. The overarching goal of edge computing is to improve network latency. IoT is a specific kind of technology that helps to facilitate this goal. 

Edge computing has been used since the late ‘90s, as outlined in this Bosch ConnectedWorld blog post. Initially, the technology was used for video and image content delivery through content delivery networks (CDNs). 

As the blog details, widespread edge computing adoption didn’t happen until IoT device adoption exploded, creating a need for networks to receive and send huge volumes of data to and from the cloud. With traditional networking, these processes bogged down enterprise networks and rendered IoT insights only marginally useful in many cases.  

This review of the IoT edge computing market will provide look at the state of this thriving market, key drivers impacting that growth, the leading industries and organizations using IoT sensors, common use cases for IoT edge computing, and top vendors in this space: 

In its edge computing market analysis report, Grandview Research estimates that the global edge computing market size was valued at $4.7 billion in 2023, and it predicts the market will expand at a compound annual growth rate (CAGR) of 38.4% between 2023 and 2028. 

Grandview Research points to the extensive range of stakeholders involved in IT infrastructure, including edge computing, as a key growth driver. To work well, edge computing requires a complex architecture of hardware, software, IoT device and sensor communications, and various service management providers. Each of these stakeholders has a vested stake in the edge computing market and competes with one another to attract edge computing clients.

The IoT edge computing market also benefits from the global nature of modern business. To gain international market share, global companies are investing in edge computing to offer the same level of reliability and speed to international clients that they offer domestically. A domain host, for example, can significantly benefit from investing in edge computing services that eliminate the latency inherent to providing service across thousands of miles. Edge computing can lead directly to new lines of business and an increased operational footprint. 

Prominent industries using IoT edge computing technology include:




Health care



Domain and website hosts

Support for the most common protocols that allow communications between IoT sensors and devices and the edge gateway — for example, Bluetooth, Z-Wave, and Siemens S7

Local data processing capabilities like the ability to utilize analytics algorithms, provide notifications and alarms, and monitor and report on application performance

Local data storage capacity 

Security features like permission-based access control, encrypted communication, security certificate management, and the ability to integrate into existing cybersecurity platforms

Remote management capabilities of individual gateways

Portable to multiple hardware platforms (though some edge computing offerings are linked to proprietary vendor hardware)

Investing in edge computing can also benefit organizations by reducing the size of expensive, on-premises network architecture. For the end-user, edge computing is a near-invisible benefit that reduces the overall cost of cloud-based computing. Edge computing is often used within hybrid cloud architectures as well. 

With edge computing, organizations can utilize data collected locally to serve global visibility and analysis in the cloud. 

See more: Internet of Things (IoT) Security Market

Operations with especially large footprints, like oil pipeline companies, benefit from remote asset monitoring facilitated with edge computing. IoT sensors send data about asset conditions to edge servers, which analyze the information and issue alerts about potential issues before failures occur. 

While this use of edge computing technology is still in its infancy, the transportation industry is benefiting from fleet management enhanced by edge computing. As fleets of trucks travel freeways, IoT sensors send information to edge servers about fuel consumption, routing, and other data that can help logistics managers increase efficiency and on-time deliveries and pickups. 

Edge computing can be used for video monitoring, biometric scanning, and other surveillance measures. Advanced edge computing systems can analyze security data in real-time to ensure only authorized individuals are accessing secure locations. 

Health care providers produce and manage enormous stores of data from a large array of devices found in medical facilities and patient wearables. Because of the immense amount of data that needs to be managed from many multiple IoT endpoints, health care data networks can become bogged down, leading to not only IT concerns but potentially dangerous health outcomes for patients. Edge computing relieves much of this burden. 

Multi-player gaming requires a great deal of bandwidth and suffers significantly when there are latency issues. Large-scale game companies like Blizzard Entertainment are using edge computing to match gamers based on location to game servers closer to them. The result is vastly improved latency and better gaming experiences, for which many users are happy to pay a premium. 

As many enterprises discovered during the COVID-19 pandemic, it can be a significant challenge to keep a remote workforce connected. VPN and other approaches often introduce so much latency into workflows that work stops altogether. Edge computing approaches to remote worker connectivity reduce lag and improve network security through increased endpoint oversight. Applications like video conferencing also benefit from edge computing setups. 

Homes and offices increasingly rely on smart technology to control climate systems and other functions remotely, but users often find that there is a noticeable delay when they execute commands via mobile apps. Edge computing decreases that delay. 

See more: 85 Top IoT Devices

These ten companies are among the most prominent IoT edge computing vendors: 



Amazon Web Services (AWS)




Google Cloud




See more: Best IoT Platforms & Software

Edge Computing: Definition, Characteristics, And Use Cases

Traditional cloud computing networks are significantly brought together, with data being collected on the fringe edges and sent back to the essential servers for taking care.

This plan grew out of the way that most of the devices arranged near the edge came up short on computational power and limited capacity to separate and then again process the data they accumulated.

How much data is ceaselessly being made at the edge is turning out to be decisively speedier than the limit of associations to manage it.

As opposed to sending data to a cloud or a distant server homestead to achieve the work, endpoints should send data to an Edge Enrolling contraption that cycles or separates that data.

What is Edge Computing?

Edge Computing is closer to data source and limit, and figuring tasks should be possible in the edge enrolling center point, which diminishes the center data transmission process.

Carrying this handling ability to the edge of the association helps address the data trial by creating, generally, shut IoT structures.

A conclusive goal is to restrict cost and lethargy while controlling association bandwidth.

A huge benefit Edge Figuring offers that would be helpful is the reduction of data ready to be sent and taken care of in the cloud.

It underlines closeness to clients and outfits clients with better shrewd organizations, thus further creating data transmission execution, ensuring consistent taking care, and decreasing conceded time.

Benefits of Edge Computing

Edge registering has arisen as one of the best answers for network issues related to moving gigantic volumes of information created today. Here are the absolute most significant benefits of edge processing −

Reduces Latency − Inactivity alludes to the time expected to move information between two organizational focuses. Huge distances between these two focuses and network clogs can create setbacks. As edge figuring carries the focuses nearer to one another, idleness issues are nonexistent for all intents and purposes.

Saves Bandwidth − Transmission capacity alludes to the rate at which information is moved in an organization. As all organizations have a restricted transmission capacity, the volume of information that can be moved and the number of gadgets that can cycle this is restricted too. By sending the information servers to the places where information is created, edge registering permits numerous gadgets to work over much more modest and effective data transmission.

Execution Expenses − The expenses of executing an edge foundation in an association can be complicated and costly. It requires a reasonable degree and reason before the organization and extra gear and assets to work.

Inadequate Information − Edge figuring can handle incomplete data arrangements that should be characterized during execution. Because of this, organizations might wind up losing important information and data.

Security − Since edge registering is a circulated framework, guaranteeing sufficient security can be challenging. There are takes a chance engaged with handling information outside the edge of the organization. The expansion of new IoT gadgets can likewise build the chance for the aggressors to invade the gadget.

Edge Computing Use-Cases

Edge figuring draws information handling closer to business activities. It has numerous varieties, with numerous IT experts seeing it as a development of the conveyed ‘lights out’ server farm idea. Regardless of how savvy the end-point is; all Edge approaches share similar engineering.

Center information center(s) with satellite areas store and cycle information and cooperate with end-focuses.

Edge comprises organization doors, server farms, and everything IoT.

The motivation behind the Edge is to convey dispersed application administrations, give knowledge to the end-point, speed up execution from the center data frameworks or gather and forward data from the Edge end-point sensors and regulators.

The shortfall of a concurred and acknowledged Edge processing definition requested we make our own subsequent in three distinct kinds of purpose cases −

Remote ‘Lights Out’ Edge Server, farms can be a little hardware rack in different far-off areas or numerous enormous server farms. It is the most different, non-standard Edge climate. It requires new hierarchical models, modern programming application designs, and a high degree of reflection to the picture, conveying low touch control and the capacity to scale and deal with a heterogenous blend of gear.

Holder IT Edges, is where combined frameworks reside. This climate comprises an answering stack including at least one of the accompanying; servers, operating system, stockpiling, organization, and improved power and cooling to help all the hardware in the contained climate. The compartments are exceptionally normalized notwithstanding, customization is accessible to suit explicit Edge prerequisites with choices for extra parts.

Internet of Things (IoT), where profoundly accessible processors empower constant investigation for applications that can hardly hold on to decide. IoT end-directs go on toward getting more brilliant with a more remarkable capacity to work freely and settle on choices without routine correspondence with center stage.


With edge computing, things have become fundamentally more successful. Accordingly, the idea of business assignments has become higher. Edge figuring is a sensible solution for data-driven undertakings that require lightning-fast results and a raised level of flexibility, dependent upon the current status of things.

How Cloud Computing Is Reinventing Supply Chain Management

Regardless of the industry, supply chain management is vital for business growth. In a bid to remain relevant in a competitive business landscape, companies seek to enhance their supply chain management processes through digital technology.

Cloud computing is a quickly evolving technology that organizations adopt to transform and enhance supply chain efficiency. With more businesses scrambling to adapt, the global market size of SaaS supply chain management solutions will hit $5.62 billion by 2025.

This trend is not haphazard. Typically, cloud computing facilitates a large-scale transformation of traditional SCM models. Here are some of the ways cloud solutions are reinventing supply chain management.

1. Track and Locate Products at Any Stage of the Supply Chain

Inventory management is one of the chronic traditional challenges that plague managers. Ideally, supply chain departments need reliable visibility and control.

When cloud-based solutions are coupled with tools like GPS, Beacons, Bluetooth trackers, RFID, and Wi-Fi sensors, supply chain managers can track inventory –regardless of the shipping stage. Having the capability to track and locate products can enhance supply chain efficiency. Most importantly, it makes it easier to gather more data about delays and bottlenecks.

Cloud-connected sensors can log your inventory automatically, thus cutting costs related to supply chain management. As the business landscape becomes more competitive, tracking products on transit can be instrumental in providing superior client service.

2. Enhanced Maintenance of Critical Supply Chain Equipment

This eliminates the inconveniences associated with sudden equipment breakdown. In addition, intelligent cloud solutions can provide accurate predictions regarding equipment malfunction, servicing, and repairs.

3. Leverage Big Data to Analyze Efficiency

Cloud-based SCM solutions come with unprecedented processing power, thus making them suitable for analyzing massive data sets. This capability has enabled managers to create complex simulations addressing supply chain optimization, inventory needs, and seasonal issues in the supply chain.

4. Increased IT Security for Better Business Continuity

Cloud technology has evolved to become a reliable and secure tool for business operations. This aspect enhances business continuity and lowers business disruptions often associated with onsite installations.

Virtualization and redundancy are at the core of cloud computing technology, thanks to a vast pool of resources. As such, these systems can quickly recover from technical glitches or other unexpected disasters and redeploy data.

Advanced security solutions are securing cloud technology without causing any system lags. Unlike traditional onsite SCM systems, cloud-based supply chain systems have minimal downtime, thus enhancing business profitability.

5. Seamless Access to Supply Chain Management Systems

Cloud computing has eliminated physical boundaries that pose barriers in supply chain management. Today, managers can access cloud-based supply systems from anywhere in the world. And with increasing globalization, seamless access is vital to business success. These supply chain systems support multiple offices across the globe and facilitate real-time access to essential data.

6. Cost Optimization

The introduction of cloud computing in supply management has led to a drastic reduction in operational costs. Cloud computing solutions can minimize the number of staff required to carry out tasks throughout the supply chain.

For instance, cloud applications can generate automatic reports of incoming inventory at a warehouse, trigger shipments, and book the inventory on arrival. This function minimizes the human workforce required for order processing tasks; thus, you can commit more workers towards other vital roles in the supply chain.

7. Demand Forecasts and Adjusting to Market Volatilities

The C-suite managers in the manufacturing industry are conversant with the detrimental impacts of market volatility. After going through the previous economic collapse, managers are always conscious of resource deployment amid an economic collapse.

8. Improved Speed and Scalability

9. Enhanced Integration of Different Business Platforms

Over the years, the demand for supply chain management systems has skyrocketed. To meet the demand, providers have created numerous platforms. However, most of the existing platforms are not compatible, thus limiting integration with each other.

But with cloud computing technology, you can integrate different platforms through standard protocols. This capability has nullified preexisting digital boundaries that have been the missing link for instant communication and seamless order fulfillment. For instance, Service Oriented Architecture enables various platforms to share information through web services.


While it’s still in its infancy stages, cloud computing technology is on track to become the future of supply chain management. By integrating this tech into SCM, organizations can realize accurate tracking, better security, and lower business expenses.

7 Hot Cloud Computing Innovations

that worldwide revenue from public IT cloud services, which exceeded $16 billion in 2009, will grow to nearly $56 billion in 2014.

Despite a dismal economy, analysts continue to be bullish on cloud computing. A few recent studies project continued momentum for cloud computing, which according to IDC, should soon “reach 12% of the size of traditional IT product spending, [while representing] over 25% of the net-new growth in traditional IT products.”that worldwide revenue from public IT cloud services, which exceeded $16 billion in 2009, will grow to nearly $56 billion in 2014.

According to AMI-Partners’ World Wide Cloud Services Study, adoption among SMBs will be even more impressive. SMBs worldwide will spend more than $95 billion on cloud-related products and services (both public and private) by 2014. SMBs are already rapidly moving to the cloud, with CRM, payroll, accounting/financials and web-conferencing applications leading the way.

While there is no doubt that cloud computing will continue to grow, can we safely say that it is a mature technology?

One sign of maturity for newly adopted technologies is an outgrowth of innovation. By this I don’t mean that technologies require constant innovation in order to be considered mature; rather, once a technology has passed a certain tipping point, innovators begin tinkering at the margins.

Here are seven of those innovations:

Desktops and notebooks have already lost their standing as the go-to computing devices for many knowledge workers. Smartphone adoption outpaces even the cloud, while the iPad is already gaining traction in such verticals as hospitality and education.

“People hate carrying their laptops around with them. If you can access your desktop from the cloud via a phone or tablet, that’s a lot less hassle for people who are always on the go. Plus, there are no security limitations in the device being stolen or misplaced, because none of the information from the PC is saved locally on the phone,” said Daniel Barreto, GM, Mobile Cloud Business Unit at Wyse Technology, a provider of “cloud client computing” solutions.

Wyse intends to banish laptops from the mobile workforce through its PocketCloud service. PocketCloud is a remote desktop service that essentially delivers everything from your PC to your smartphone or tablet. By storing everything in the cloud, the constrained device gets a major boost (although input and bandwidth limitation still pose problems). Customers for PocketCloud include EMC and CA.

Iveda Solutions is leveraging the cloud to provide streaming mobile video surveillance at a price point well below the typical closed-circuit systems.

“Using cloud computing is a better way to consolidate your surveillance video, especially if it is coming from disparate geographic locations or facilities. Instead of running multiple DVRs and NVRs, the video is centrally hosted at our Tier-4 data center and the user accesses it using a Web browser,” said Jason Benedict, Marketing Manager, Iveda Solutions. Video can then be accessed by any Internet-enabled device, including smartphones and in-vehicle thin clients.

Iveda Solutions has deployed its system on school busses for campus safety, in parks in Arizona to combat graffiti and illegal dumping, and at golf courses to combat vandalism.

Whether you play video games on a PC, on Facebook or on consoles, today’s gaming experience is a thoroughly online one. Heck, I use my Wii more often to stream Netflix movies than to play games.

According to the NPD Group, the sales of games that are digitally downloaded topped traditional physical sales for the first time this past year. Consumers in the U.S. downloaded 11.2 million games from January through June 2010, versus 8.2 million physical units sold.

As more games leverage the Internet, the appeal of Massively Multiplayer Online (MMO) games grows. According to Strategy Analytics, revenues for MMORPG (massively multiplayer online role-playing games) topped $5 billion worldwide in 2009, up 17 percent from 2008. The research firm predicts that revenues will reach $8 billion in 2014.

If a few of MMO games’ limitations are addressed, those numbers could grow even more. “MMO games are expensive to build and tend to be based on decades-old technology,” said Mark Richardson, CEO of Ashima Arts.

According to Richardson, the only thing “massive” about current MMOs is the audience. The typical world gamers inhabit is static and not terribly large. Moreover, the audiences themselves are only massive using yesterday’s measurements.

“The way that the underlying programs are parallelized from server to server means that the games can’t hold more than 10,000 people,” he said. The games address this through “sharding,” which means that the gaming audience is segmented. You only access a single, regional shard.

Instead of a “World of Warcraft” world, there are hundreds of separate worlds. These worlds tend also to be non-interactive – a player cannot really use a well, cut down a tree, or enter certain buildings because these are all simply stage props.

To conquer the limitations of virtual game worlds, Ashima Arts is building an MMO OS based on virtualization and cloud concepts. The Mirage OS turns each player interaction into a transaction. The OS has complete freedom to run transactions on any of its cloud servers.

“This creates tremendous opportunities for game designers to create virtual worlds, which are actually worlds, not limited approximations,” Richardson said. Moreover, these games will allow you to interact, potentially, with millions of players worldwide, rather than being restricted to a regional or skill-level shard.

Even if you have never played or intend to play an MMO game, the implications for training, education and conferencing are obvious.

The cloud was originally intended to make it easier to use software over the Internet without loading client software. Of course, many organizations fret over exposing sensitive data assets to the Internet. As a result, many organizations have a few cloud applications running at the periphery of their operations, with the mission-critical ones kept in house.

Many of those on-premise applications benefit from features such as collaboration and remote access, which has led to hybrid clouds. “Hybrid clouds have, in many instances, become the information gateway to the public cloud, while allowing users to preserve the legacy core,” said Chris Weitz, Director of Deloitte Consulting.

Until very recently, these hybrid clouds were public-cloud/roll-your-own amalgams. However, any time vendors see potential customers laboring to create solutions like hybrid clouds, it’s only a matter of time until they begin offering products or services to displace the homegrown solutions.

Now, “cloud storage gateway” or “cloud storage on-ramp” devices are being deployed in data centers to enable the use of cloud storage as though it were traditional storage. These devices provide the workflow and processes expected of traditional storage (volume provisioning, LUN masking, snapshots), and incorporate a number of technologies to overcome cloud-centric challenges. Content-aware tiering with integrated storage ensures high-performance access to working-set data, while less frequently used data can be tiered to the cloud.

When scientists use the cloud for their studies, they often run up against computing limitations, even in large cloud deployments, rather quickly. “In science, there is an explosion of data in areas such as bio-informatics,” said Dr. Kate Keahey, a scientist at Argonne National Laboratory and a fellow of the Computation Institute at the University of Chicago. “We have more data than we know what to do with, and we’re not able to process that data effectively in traditional infrastructures.”

As a result, researchers have been investigating ways to link their cloud deployments with other clouds. Called “sky computing,” this model takes resources from multiple cloud providers and pools them to create large-scale, distributed infrastructures.

Often, the in-house cloud is linked with resources in public clouds, such as AWS. Sky-computing clouds have emerged at the University of Chicago, Purdue University and the University of Texas at Austin, to name only a few.

Grid5000 in France and FutureGrid in the U.S. are two early sky-computing deployments getting a lot of attention in academic circles. The Ocean Observatories Initiative (OOI), meanwhile, has received $100 million in U.S. stimulus money to deploy sensors and monitoring equipment throughout the world’s oceans. Obviously, handling the data from those sensors will require massive computing infrastructures.

Basically, this is a matter of cloud computing getting back to its roots. Several years ago “cloud computing” and “grid computing” were used almost interchangeably. Grids were more typically focused on applications where huge amounts of data where being stored and processed, while clouds were centered on cost reduction and infrastructure flexibility.

Now, sky computing essentially marries the two, with one critical distinction. “With a grid, you’re still in someone else’s domain,” Keahey said. “You must deal with firewalls and with things being different on different infrastructures. With sky computing, on the other hand, you are able to create a single domain on top of all of these resources.”

How does the cloud fit into all of this? Simple: the cloud is protecting companies against social-media flops – and successes.

In the past, if an expected threshold of users failed to materialize, yet you had already purchased the infrastructure for a large campaign, you were in trouble. Similarly, if a campaign exceeded your projections, you risked alienating potential customers as applications slowed when capacity limits were reached.

“Organizations mistakenly believe that big, dedicated enterprise applications are the difficult ones to plan for,” said Adrian Ludwig, VP of Marketing for cloud computing provider Joyent. “The truth is those are fairly easy to design. The hardware is dedicated to the application, the computing environment is a controlled one, and the organization knows how many end users it will have.”

“Even cloud computing is stressed under that kind of varying demand,” Ludwig said.

Joyent tackles this problem by virtualizing the layer between the hypervisor and the application. Just as virtualization separated the hardware assets from the OS and app, Joyent’s “SmartOS” frees applications from hypervisors and dedicated OSes. Thus, each application running on one of the ported platforms is just another process that gets managed by the SmartOS.

Apologies to those who suggested including these cloud innovations: collaboration clouds, cloud mashups, HPC, the “appification” of software and the emergence of cloud operating systems. Maybe next time. Well, not next time. My next cloud computing story, slated for early to mid-October, will look at how the cloud is changing business and work. If you have ideas for that story, contact me at [email protected] or look for my HARO query in a week or two.

8 Common Uses Of Cloud Computing

Analytics Insight presents the 8 Common Uses of Cloud Computing

Cloud computing refers to a computer paradigm and a collection of technologies that enable users to pay for cloud services over the Internet. Despite the fact that cloud computing is a comparatively recent paradigm that has only recently gained widespread acceptance, it is growing in popularity. The many uses of cloud computing have proved beneficial in offering an assortment of solutions to everyone from government departments to non-profit organizations and tiny start-ups. The following are some popular cloud computing applications that should make you think about how this technology may help your company.  

1. Software Testing and Development

If you’ve ever built an in-house app, you know how time-consuming, costly, and expensive the process can be. It necessitates the installation and deployment of sophisticated gear and software, as well as ongoing training for all personnel involved.  

2. Social Networking

Social networking is maybe one of the most underappreciated uses of cloud computing. The Software as a Service (SaaS) cloud computing concept is exemplified by platforms like Facebook, Twitter, and LinkedIn. Social media platforms are designed to assist you in finding individuals you already know – or connecting with those you don’t. They also provide you with a variety of options for exchanging data and information, including tweets, photographs, instant messaging, and posts. Alongside cloud storage, one of the most frequent use cases for consumer-driven cloud computing is social networking.  

3. Big Data Analytics

Big data is required by businesses of all sizes for a variety of reasons. Some people gather it in order to uncover new business possibilities, while others do so in order to solve complicated issues. Big data collection and analysis, on the other hand, isn’t easy. It necessitates the employment of massive computational resources, which come at a high cost. Cloud computing, without even a doubt, enables big data analytics simple, useful, and affordable. Amazon Web Services (AWS) provides a variety of analytics services for distinct use cases.  

4. Data backups and archiving

We now live in a society where cybercrime has become the norm. There isn’t a day that goes by without big data breaches, which may be catastrophic for a number of organizations. Traditional data backup solutions have been shown to be successful in storing data for a long period. Despite this, they are susceptible to infections, and because of their portable nature, they can become misplaced, posing a threat to contemporary enterprises. These issues can be addressed using cloud-based backup and archiving. You can backup or preserve your sensitive information to cloud-based storage systems using this method. This gives you peace of mind that your data will be safe even if your live data is hacked.  

5. File Storage

There are several choices for storing and accessing your data. There’s your laptop’s hard disc, an external device you use for data backup and transfer, network file sharing, USB devices, and more. Cloud storage comes in a variety of forms, including block, file, and encrypting data. These are suitable for a variety of applications, including shared filesystems, block-based files, and backup and preservation systems. You’ll receive safe access and the scalability to expand or reduce storage based on your demands and finances with cloud services storage services like Amazon S3, DropBox, or OneDrive.  

6. Disaster Recovery

Do you know how much it would cost you if you didn’t have a business continuity strategy in place? According to research, over 75% of firms that suffer a crisis and do not have a disaster recovery plan in place collapse within three years of the event. Building a disaster restoration site and evaluating your company continuity strategy has traditionally been a costly and time-consuming process. That doesn’t have to be the case any longer! You may create a disaster recovery system in the cloud using cloud computing. In this strategy, you build a copy of your development site and duplicate data and config settings on a regular basis.  

7. Communication

People may use cloud computing to use cloud-based methods of communication like calendars and emails. Furthermore, cloud-based messaging and calling apps like WhatsApp and Skype are all based on cloud infrastructure. Not just on your smartphone, but also in the cloud, are the communications and data you send and receive. This allows you to access them via the internet from any gadget and from anywhere on the planet.  

8. Business Process

You’ve already included cloud computing within your management approach if you use company management tools like Enterprise Resource Planning (ERP) or Customer Relationship Management (CRM). Software as a Service (SaaS), which primarily relies on cloud computing paradigms, is used to deliver such enterprise apps. They make it easy to maintain, secure and manage your company’s critical resources. Furthermore, they give service providers and their customer’s maximum efficiency.  


Cloud computing is undeniably a burgeoning business, and there are several benefits to using cloud computing services. New businesses are increasingly migrating to the cloud, which has emerged as the best platform for software testing, creation, communications, storage, and installation.

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