Beyond edge computing : swarm computing and ad-hoc edge clouds / Ana Juan Ferrer.
Juan Ferrer, Ana, author.
2023
QA76
Available Online

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Title Beyond edge computing : swarm computing and ad-hoc edge clouds / Ana Juan Ferrer.
Author Juan Ferrer, Ana, author.
ISBN 9783031233449
3031233441
3031233433
9783031233432
DOI https://doi.org/10.1007/978-3-031-23344-9
Publication Details Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource (xiii, 195 pages) : illustrations (chiefly color).
Item Number 10.1007/978-3-031-23344-9 doi
Call Number QA76
Dewey Decimal Classification 006.3/824
Summary 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. 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.
Note 6.1.1.7 Connectivity and Resilience
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Available in Other Form Beyond Edge Computing
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Intro
Disclaimer
Contents
About the Author
1 Introduction
1.1 Motivation
1.2 Swarm Computing and Ah-hoc Edge Clouds
1.3 Book Organisation
References
Part I Current Status of Computing at the Cloud and Network Edges
References
References
2 Setting the Scene: Cloud, Edge, Mobile and Ad-hoc Computing Context
2.1 Cloud, Edge, Mobile and Ad-hoc Computing Relations
2.2 Decentralisation of Cloud Computing
2.3 Edge and Fog Computing Terminology
References
3 Cloud Computing
3.1 Introduction to Cloud Computing

3.2 Basic Definitions, Benefits and Drawbacks
3.3 Cloud Foundations
3.3.1 Virtualisation and Containerisation Technologies
3.3.2 Cloud Native Software Architectures
3.4 Services in Public Clouds
3.4.1 Infrastructure-as-a-Service (IaaS)
3.4.2 Platform-as-a-Service (PaaS)
3.4.2.1 Programming Frameworks and Tools
3.4.2.2 Data Management Services
3.4.2.3 Specialised Programming Approaches
3.5 Hybrid and Multi-Cloud Management
References
4 Mobile Cloud Computing
4.1 Introduction to Mobile Cloud Computing
4.2 MCC Challenges

4.2.1 Inherent Mobile Devices Challenges
4.2.2 Network Connectivity
4.2.3 Security
4.2.4 Off-Loading and Application Partitioning
4.3 MCC Models
4.4 Analysis of Existing Works in MCC
4.4.1 Approaches Based on Off-Loading to a Server
4.4.1.1 MAUI, Making Smartphones Last Longer with Code Offload
4.4.1.2 Cuckoo, a Computation Offloading Framework for Smartphones
4.4.2 Approaches Based on Off-Loading to Public/Private Cloud Computing
4.4.2.1 CloneCloud, Elastic Execution Between Mobile Device and Cloud
4.4.2.2 ThinkAir

4.4.3 Approaches Based on Off-Loading to Cloudlets
4.4.3.1 The Case for VM-Based Cloudlets in Mobile Computing
4.4.3.2 Gabriel
4.4.4 Approaches Based on Off-Loading to Other Mobile Devices
4.4.4.1 Hyrax, Cloud Computing on Mobile Devices Using Map Reduce
4.4.4.2 A Virtual Cloud Computing Provider for Mobile Devices
4.4.5 Features Comparison
References
5 Mobile Ad-hoc Cloud Computing
5.1 Introduction to Mobile Ad-hoc Cloud Computing (MAC)
5.2 MAC Challenges
5.3 MAC Models
5.4 Analysis of Existing Works in MAC

5.4.1 Dynamic Mobile Cloud Computing: Ad Hoc and Opportunistic Job Sharing
5.4.2 MoCCA, A Mobile Cellular Cloud Architecture
5.4.3 Ad-hoc Cloud as a Service
5.4.4 MobiCloud
5.4.5 mClouds
5.4.6 Aura
5.5 Features Comparison
References
6 Edge and Fog Computing
6.1 Computing Perspective, Edge and Cloud
6.1.1 Edge Computing Challenges
6.1.1.1 Edge Management
6.1.1.2 Edge Interoperability
6.1.1.3 Cognitive Techniques: AI and ML Applied to Edge Management
6.1.1.4 Economy
6.1.1.5 Eco-Efficiency
6.1.1.6 Security and Privacy

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