In a similar way, the aim of edge computing is to move the computation away from data centers towards the edge of the network, exploiting smart objects, mobile phones, or network gateways to perform tasks and provide services on behalf of the cloud. Furthermore, devices at the edge constantly consume data coming from the cloud, forcing companies to decentralize data storage and service provisioning, leveraging physical proximity to the end user. Despite the improvements of network technology, data centers cannot guarantee acceptable transfer rates and response times, which, however, often is a critical requirement for many applications. The increase of IoT devices at the edge of the network is producing a massive amount of data - storing and using all that data in cloud data centers pushes network bandwidth requirements to the limit. By 2025, the firm predicts that this figure will reach 75%. According to research firm Gartner, around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. The world's data is expected to grow 61% to 175 zettabytes by 2025. Per Anand and Edwin say "the edge node is mostly one or two hops away from the mobile client to meet the response time constraints for real-time games' in the cloud gaming context." Įdge computing may employ virtualization technology to make it easier to deploy and run a wide range of applications on edge servers. Īccording to The State of the Edge report, edge computing concentrates on servers "in proximity to the last mile network." Alex Reznik, Chair of the ETSI MEC ISG standards committee loosely defines the term: "anything that's not a traditional data center could be the 'edge' to somebody." Įdge nodes used for game streaming are known as gamelets, which are usually one or two hops away from the client. Hence in such deployments, Edge layer is a distinct layer too which has specific responsibilities. However, when the deployment size is large, e.g., for Smart Cities, fog computing can be a distinct layer between the Edge and the Cloud. This especially is quite relevant for small deployments. The term is often used synonymously with fog computing. In his definition, cloud computing operates on big data while edge computing operates on "instant data" that is real-time data generated by sensors or users. Karim Arabi, in an IEEE DAC 2014 Keynote and subsequently in an invited talk at MIT's MTL Seminar in 2015, defined edge computing broadly as all computing outside the cloud happening at the edge of the network, and more specifically in applications where real-time processing of data is required. One definition of edge computing is any type of computer program that delivers low latency nearer to the requests.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |