Edge computing

Edge computing

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  EDGE COMPUTING
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  ABSTRACT • The Internethas changed the way people access the information they need. Whether it is individuals reading emails or watching videos, or factories utilizing automated fabrication devices, the access and processing of data is totally different. • As, new research areas are emerging. One of them is Internet of Things (Io T) which connects countless devices to the Internet as well as the data generated and transferred. • This increase brings several issues which could degrade the Quality of Service (QoS) with delays or even failed requests due to bandwidth limitations. • Current tendency to solve problems that the Cloud Computing has is to perform computations close to the device as much as possible. This paradigm is called Edge Computing.
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  INTRODUCTION • Edge computingis a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response time and saves bandwidth. • Edge is the optimization of cloud, to move the compute close to the source of data, to the edge.
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  It is typicallyreferred to in IOT use cases, where edge devices would collect data and send it to all data center or cloud for processing. This allows data produced by Internet Of Things(IOT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
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  LITERATURE REVIEW • AlexReznik, Chair of the ETSI MEC ISG standards committee, has a broad definition, "anything that’s not a traditional data center could be the ‘edge’ to somebody.” • Philip Laidler believes "edge compute includes workloads running on customer premises."[ • Karim Arabi, defined Edge Computing broadly as all computing outside Cloud happening at the Edge of the network and more specifically in applications where real-time processing of data is required.
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  • “In mostscenarios, the presumption that everything will be in the cloud with a strong and stable fat pipe between the cloud and the edge device – that’s just not realistic,” says Helder Antunes, senior director of corporate strategic innovation at Cisco. • Gamelet paperdefines 'the edge node is mostly one or two hops away from the mobile client to meet the response time constraints for real-time games’.
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  EXISTING SYSTEM • InternetOf Things(IOT) systems perform all of their computations in the cloud using massive centralized servers. • To overcome the issues of QoS, the edge computing has come into force.
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  PROPOSED SYSTEM • Edgecomputing offers a completely different approach: it moves most of these processes – from computing to data storage to networking – away from centralised data center and closer to end user. • Analysing data, faces two problems: increased latency and wasted resources of decentralised data centers, cloudlets and mobile edge nodes located at the edge of the network.
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  ARCHITECTURE
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  WORKING OF EDGECOMPUTING
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  ADVANTAGES The four mainadvantages of edge computing are as follows: • Faster response • Secure • Reliable operations • Cost effective
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  DISADVANTAGES The following arethe main disadvantages of edge computing • Complex network structure • Edge hardware acquisition costs • Higher maintenance costs
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  APPLICATIONS Oil and gasremote monitoring Traffic management Grid edge control and analytics Autonomous Vehicles
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  CONCLUSION • Edge computingin recent term which moves the services from the cloud to the device as close as possible and open for new innovations. It is a border line between the cloud and the device tier. • Although the cloud computing and IOT have brought many advantages n the previous years, increased number in the connected devices raised some issues, such as latency and low QoS problems. • Edge computing is believed to solve these issues and considering the requirements of real world use cases.
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  REFERENCES • Hamilton, Eric."What is Edge Computing: The Network Edge Explained". cloudwards.net. Retrieved 2019-05-14. • ^ Jump up to:a b c Shi, Weisong; Cao, Jie; Zhang, Quan; Li, Youhuizi; Xu, Lanyu (October 2016). "Edge Computing: Vision and Challenges". IEEE Internet of Things Journal. 3 (5): 637– 646. doi:10.1109/JIOT.2016.2579198. • ^ Garcia Lopez, Pedro; Montresor, Alberto; Epema, Dick; Datta, Anwitaman; Higashino, Teruo; Iamnitchi, Adriana; Barcellos, Marinho; Felber, Pascal; Riviere, Etienne (30 September 2015). "Edge-centric Computing". ACM SIGCOMM Computer Communication Review. 45 (5): 37– 42. doi:10.1145/2831347.2831354. • ^ "Will IIoT Edge Computing emerge out as a Real Trend in 2019?". techiexpert. • ^ Yi, S.; Hao, Z.; Qin, Z.; Li, Q. (November 2015). "Fog Computing: Platform and Applications". 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb): 73– 78. doi:10.1109/HotWeb.2015.22. ISBN 978-1-4673-9688-2. Retrieved 4 July 2019.
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  THANK YOU