What do we call IT to describe when a cloud provider can distribute resources on an as needed basis to the cloud consumer?
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The term “Edge computing” refers to computing as a distributed paradigm. It brings data storage and computes power closer to the device or data source where it’s most needed. Information is not processed on the cloud filtered through distant data centers; instead, the cloud comes to you. This distribution eliminates lag-time and saves bandwidth. Edge Computing is an alternative approach to the cloud environment as opposed to the “Internet of Things.” It’s about processing real-time data near the data source, which is considered the ‘edge’ of the network. It’s about running applications as physically close as possible to the site where the data is being generated instead of a centralized cloud or data center or data storage location. Read on to learn the differences between edge computing and cloud computing. What Is Edge Computing?Edge Computing allows computing resources and application services to be distributed along the communication path, via decentralized computing infrastructure. Computational needs are more efficiently met when using edge computing. Wherever there is a requirement for collecting data or where a user performs a particular action, it can be completed in real-time. Typically, the two main benefits associated with edge computing are improved performance and reduced operational costs, which are described in brief below. Advantages of Using Edge ComputingImproved PerformanceBesides
collecting data for transmission to the cloud, edge computing also processes, analyses, and performs necessary actions on the collected data locally. Since these processes are completed in milliseconds, it’s become essential in optimizing technical data, no matter what the operations may be. Reducing Operational CostsIn the cloud computing model, connectivity, data migration, bandwidth, and latency features are pretty expensive. This inefficiency is remedied by edge computing, which has a significantly less bandwidth requirement and less latency. By applying edge computing, a valuable continuum from the device to the cloud is created, which can handle the massive amounts of data generated. Costly bandwidth additions are no longer required as there is no need to transfer gigabytes of data to the cloud. It also analyses sensitive IoT data within a private network, thereby protecting sensitive data. Enterprises now tend to prefer edge computing. This is because of its optimizable operational performance, address compliance and security protocols, alongside lower costs. Edge computing can help lower dependence on the cloud and improve the speed of data processing as a result. Besides, there are already many modern IoT devices that have processing power and storage available. The move to edge processing power makes it possible to utilize these devices to their fullest potential. Edge Computing ExamplesThe best way to demonstrate the use of this method is through some key edge computing examples. Here are a few scenarios where edge computing is most useful: Autonomous VehiclesSelf-driven or AI-powered cars and other vehicles require a massive volume of data from their surroundings to work correctly in real-time. A delay would occur if cloud computing were used. Streaming ServicesServices like Netflix, Hulu, Amazon Prime, and the upcoming Disney+ all create a heavy load on network infrastructure. Edge computing helps create a smoother experience via edge caching. This is when popular content is cached in facilities located closer to end-users for easier and quicker access. Smart HomesSimilar to streaming services, the growing popularity of smart homes poses a problem. It’s now too much of a network load to rely on conventional cloud computing alone. Processing information closer to the source means less latency and quicker response times in emergency scenarios. Examples include medical teams, fire, or police deployment. Do note that organizations can lose control of their data if the cloud is located in multiple locations around the world. This setup can pose a problem for certain institutions such as banks, which are required by law to store data in their home country only. Although efforts are being made to come up with a solution, cloud computing has clear disadvantages when it comes to cloud data security. What Is Cloud Computing?Cloud computing refers to the use of various services such as software development platforms, storage, servers, and other software through internet connectivity. Vendors for cloud computing have three common characteristics which are mentioned below:
Service Models of Cloud ComputingCloud computing services can be deployed in terms of business models, which can differ depending on specific requirements. Some of the conventional service models employed are described in brief below.
Deployment Models of Cloud ComputingJust like the service models, cloud computing deployment models also depend on requirements. There are four main deployment models, each of which has its characteristics.
Benefits of Using Cloud ComputingDespite the many challenges faced by Cloud Computing, there are many benefits of the cloud as well. Scalability/FlexibilityCloud Computing allows companies to start with a small deployment of clouds and expand reasonably rapidly and efficiently. Scaling back can also be done quickly if the situation demands it. It also allows companies to add extra resources when needed, which enables them to satisfy growing customer demands. ReliabilityServices using multiple redundant sites support business continuity and disaster recovery. MaintenanceThe Cloud service providers themselves conduct system maintenance. Mobile AccessibilityCloud computing also supports Mobile accessibility to a higher degree. Cost SavingBy using Cloud computing, companies can significantly reduce both their capital and operational expenditures when it comes to expanding their computing capabilities. Note that the emergence of edge computing is not advised to be a total replacement for cloud computing. Their differences can be likened to those between an SUV and a racing car, for example. Both vehicles have different purposes and uses. To better understand the differences, we created a table of comparisons.
Looking to the FutureMany companies now are making a move towards edge computing. However, edge computing is not the only solution. For computing challenges faced by IT vendors and organizations, cloud computing remains a viable solution. In some instances, they use it in tandem with edge computing for a more comprehensive solution. Delegating all data to the edge is also not a wise decision. It’s why public cloud providers have started combining IoT strategies and technology stacks with edge computing. Edge computing vs. cloud computing is not an either-or debate, nor are they direct competitors. Rather, they provide more computing options for your organization’s needs as a tandem. To implement this type of hybrid solution, identifying those needs and comparing them against costs should be the first step in assessing what would work best for you. Goran Jevtic Goran combines his leadership skills and passion for research, writing, and technology as a Technical Writing Team Lead at phoenixNAP. Working with multiple departments and on various projects, he has developed an extraordinary understanding of cloud and virtualization technology trends and best practices. What is a cloud computing offering called in which users are provided with access to resources such as servers storage and networks?Infrastructure as a service (IaaS) is a cloud computing offering in which a vendor provides users access to computing resources such as storage, networking, and servers. Organizations use their own platforms and applications within a service provider's infrastructure.
What are cloud providers called?Cloud service providers are companies that establish public clouds, manage private clouds, or offer on-demand cloud computing components (also known as cloud computing services) like Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service(SaaS).
What is distribution in cloud computing?A distributed cloud is an architecture where multiple clouds are used to meet compliance needs, performance requirements, or support edge computing while being centrally managed from the public cloud provider.
What are the 3 types of cloud computing?There are also three main types of cloud computing services: Infrastructure-as-a-Service (IaaS), Platforms-as-a-Service (PaaS), and Software-as-a-Service (SaaS).
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