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標(biāo)題: Titlebook: Beyond Edge Computing; Swarm Computing and Ana Juan Ferrer Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lice [打印本頁]

作者: Coarse    時間: 2025-3-21 19:57
書目名稱Beyond Edge Computing影響因子(影響力)




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書目名稱Beyond Edge Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Beyond Edge Computing被引頻次




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書目名稱Beyond Edge Computing讀者反饋學(xué)科排名





作者: 創(chuàng)作    時間: 2025-3-21 22:01
Book 2023ource 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 Sw
作者: HATCH    時間: 2025-3-22 02:16

作者: 含糊    時間: 2025-3-22 07:07

作者: aphasia    時間: 2025-3-22 12:40

作者: 哭得清醒了    時間: 2025-3-22 13:09

作者: Gentry    時間: 2025-3-22 19:14

作者: palliative-care    時間: 2025-3-23 00:22

作者: constitute    時間: 2025-3-23 02:36

作者: Flirtatious    時間: 2025-3-23 07:25

作者: 松軟無力    時間: 2025-3-23 12:33

作者: Adjourn    時間: 2025-3-23 15:36

作者: ironic    時間: 2025-3-23 18:39

作者: 煩擾    時間: 2025-3-23 23:15
Jason K. Ritter,Sandra Qui?onesents an Admission Control mechanism together with an associated resource availability prediction model driven by the needs exposed by dynamic behaviour of participant IoT and Edge devices and specifically addressing the aspects of resource instability, dynamic availability and probability of node ch
作者: 保守    時間: 2025-3-24 02:23

作者: 拱墻    時間: 2025-3-24 09:36

作者: ITCH    時間: 2025-3-24 14:33

作者: Original    時間: 2025-3-24 17:49
Cécile Bullock,Shawn Michael Bullocks the mechanisms defined in Ad-hoc Edge Cloud for cluster instantiation and management. In addition, it presents results from the evaluation of two nodes coordination tools as candidates to perform this essential feature for the Ad-hoc Edge Cloud architecture and Swarm computing.
作者: invert    時間: 2025-3-24 20:11
Jason K. Ritter,Sandra Qui?onesents an Admission Control mechanism together with an associated resource availability prediction model driven by the needs exposed by dynamic behaviour of participant IoT and Edge devices and specifically addressing the aspects of resource instability, dynamic availability and probability of node churn.
作者: ALIBI    時間: 2025-3-24 23:40
Ana Juan FerrerAnalysis of Edge computing and related areas state of the art.Introduction of Swarm computing concept.Architectural approach to Ad-hoc Edge Clouds and Swarm Computing
作者: dainty    時間: 2025-3-25 03:59
http://image.papertrans.cn/b/image/185174.jpg
作者: 斥責(zé)    時間: 2025-3-25 07:39

作者: 過分自信    時間: 2025-3-25 11:38

作者: exhilaration    時間: 2025-3-25 15:57
Clouds and Swarm Computing.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 cur
作者: SPER    時間: 2025-3-25 22:47
https://doi.org/10.1007/978-1-4020-5747-2rs, addressing IaaS and PaaS and including advanced service offerings as an example in the fields of Serverless, IoT Artificial intelligence. Finally, the chapter focuses on Hybrid and Multi-Cloud public cloud and open source products.
作者: Brain-Imaging    時間: 2025-3-26 02:33
Martin Thrupp,Ruth Lupton,Ceri Brownoading to Public or Private Cloud Computing, Approaches based on Off-loading to Cloudlets and Approaches based on off-loading to other mobile devices. On top of that, specific challenges and analysis of contribution to Swarm computing concept and Ad-hoc Edge Cloud architectures are elaborated.
作者: 得體    時間: 2025-3-26 06:52
Ira Bogotch,Luis Mirón,Gert Biestanes. To certain extent, mobile phones share similar availability issues than the targeted IoT Edge devices. This chapter studies the existing models we encounter in literature. It examines the core challenges this research area has so far focused on and presents in detail a number of works in literature.
作者: perjury    時間: 2025-3-26 12:11
Reference work 2020Latest edition on-demand created. Hence, presenting the Ad-hoc Edge Cloud as system that avoids a single point of failure, eliminates reliance on external management layers and possesses inherent mechanisms to handle scale.
作者: gerontocracy    時間: 2025-3-26 15:49

作者: farewell    時間: 2025-3-26 17:15

作者: 全等    時間: 2025-3-26 21:56
Mobile Cloud Computingoading to Public or Private Cloud Computing, Approaches based on Off-loading to Cloudlets and Approaches based on off-loading to other mobile devices. On top of that, specific challenges and analysis of contribution to Swarm computing concept and Ad-hoc Edge Cloud architectures are elaborated.
作者: muffler    時間: 2025-3-27 04:02

作者: 樹膠    時間: 2025-3-27 05:45

作者: exhilaration    時間: 2025-3-27 10:39

作者: cartilage    時間: 2025-3-27 14:42
Edge and Fog Computingpter presents developments in computing and networking areas, detailing works that address both Industrial and Telco Edge. It specifically emphasises on commercial efforts in public cloud providers and initiatives in open-source communities.
作者: Palter    時間: 2025-3-27 21:50

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作者: ovation    時間: 2025-3-28 04:13
https://doi.org/10.1007/978-1-4020-6545-3pter presents developments in computing and networking areas, detailing works that address both Industrial and Telco Edge. It specifically emphasises on commercial efforts in public cloud providers and initiatives in open-source communities.
作者: 涂掉    時間: 2025-3-28 07:20
Susan Wilcox,Jinx Watson,Margo Patersonoccupy in this work. It specifically highlights how concepts of distributed nodes coordination services and consensus algorithms supports the implantation of overlay networks in Swarm computing and Ad-hoc Edge Cloud Architectures.
作者: 解脫    時間: 2025-3-28 13:24
Footnotes to Teacher Leadershipe to be embedded and pervasive to everything. This feature combined with the ever-increasing need for timely data processing at the Edge, reveals the urgency to exploit all compute capacity available at the Edge of the network in Ad-hoc Edge Clouds which implement the Swarm computing paradigm.
作者: Minuet    時間: 2025-3-28 16:47
Self-Study as Hybrid Methodologyin a distributed and decentralized manner, by means of the concept definition and the articulation of its characteristics and principles, and presents its foreseen lifecycle. Additionally, this chapter presents a set of use cases which are relevant and can clearly benefit from of the concept.
作者: 手銬    時間: 2025-3-28 19:58

作者: assail    時間: 2025-3-28 23:00
Computing Beyond Edge: The Swarm Computing Conceptin a distributed and decentralized manner, by means of the concept definition and the articulation of its characteristics and principles, and presents its foreseen lifecycle. Additionally, this chapter presents a set of use cases which are relevant and can clearly benefit from of the concept.
作者: 大量    時間: 2025-3-29 04:45

作者: 隼鷹    時間: 2025-3-29 08:51
Cloud Computingying technologies, such as virtualisation and containerisation. Next, it advances a detailed overview of the existing services in public cloud providers, addressing IaaS and PaaS and including advanced service offerings as an example in the fields of Serverless, IoT Artificial intelligence. Finally,
作者: coagulate    時間: 2025-3-29 11:59

作者: persistence    時間: 2025-3-29 16:59

作者: 笨拙的你    時間: 2025-3-29 23:28
Edge and Fog Computinghe utilisation of Cloud computing by IoT installations. Currently, it constitutes in the same vein a very relevant IT market trend, and an expanding area of research for, both computing and networking and communications research communities. In the spirit of presenting this twofold approach this cha




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