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Beyond Edge Computing: Swarm Computing and Ad-hoc Edge Clouds

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  • Дата: 24-03-2023, 06:46
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Beyond Edge Computing: Swarm Computing and Ad-hoc Edge CloudsНазвание: Beyond Edge Computing: Swarm Computing and Ad-hoc Edge Clouds
Автор: Ana Juan Ferrer
Издательство: Springer
Год: 2023
Страниц: 197
Язык: английский
Формат: pdf (true), epub
Размер: 22.3 MB

This book explores the most recent Edge and Distributed Cloud computing research and industrial advances, settling the basis for Advanced Swarm Computing developments. It features the Swarm computing concepts and realizes it as an Ad-hoc Edge Cloud architecture.

Unlike current techniques in Edge and Cloud computing that solely view IoT connected devices as sources of data, Swarm computing aims at using the compute capabilities of IoT connected devices in coordination with current Edge and Cloud computing innovations. In addition to being more widely available, IoT-connected devices are also quickly becoming more sophisticated in terms of their ability to carry considerable compute and storage resources. Swarm computing and Ad-hoc Edge Cloud take full advantage of this trend to create on-demand, autonomic and decentralized self-managed computing infrastructures.

The principal aim of Edge Computing is to tackle this issue by providing a novel paradigm which extends capacities of Cloud Computing to the edge of the network, avoiding present latency constraints. Edge computing (referred to as Fog computing by various previous authors) has emerged so as to bring Cloud computing capacities at the Edge of the network to address latency issues present in IoT scenarios. Edge computing serves the purpose of providing a compute environment located in the vicinity of data generation sources able to prevent latency issues detected in accessing Cloud services. Edge Computing links networking with distinctive cloud principles to define distributed computing platforms in charge of meeting the specific needs of IoT. More specifically, Edge computing is defined as “the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services”. This definition encompasses the complete set of compute and network devices on their path from IoT data sources to cloud data centres.

Focusing on cognitive resource and service management, the book examines the specific research challenges of the Swarm computing approach, related to the characteristics of IoT connected devices that form the infrastructure. It also offers academics and practitioners insights for future research in the fields of Edge and Swarm computing.

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