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Titlebook: Autonomous Control for a Reliable Internet of Services; Methods, Models, App Ivan Ganchev,R. D. van der Mei,Hans van den Berg Book‘‘‘‘‘‘‘‘

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發(fā)表于 2025-3-21 18:41:31 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Autonomous Control for a Reliable Internet of Services
期刊簡稱Methods, Models, App
影響因子2023Ivan Ganchev,R. D. van der Mei,Hans van den Berg
視頻videohttp://file.papertrans.cn/167/166768/166768.mp4
發(fā)行地址Written by experts.High quality selected papers.State of the art research
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Autonomous Control for a Reliable Internet of Services; Methods, Models, App Ivan Ganchev,R. D. van der Mei,Hans van den Berg Book‘‘‘‘‘‘‘‘
影響因子.This open access book was prepared as a Final Publication of the COST Action IC1304 “Autonomous Control for a Reliable Internet of Services (ACROSS)”. The book contains 14 chapters and constitutes a show-case of the main outcome of the Action in line with its scientific goals. It will serve as a valuable reference for undergraduate and post-graduate students, educators, faculty members, researchers, engineers, and research strategists working in this field...The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like SOA, SaaS, PaaS, IaaS, NaaS, and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of new and innovative services that facilitate business processes and improve the quality of life. However, this also calls for new approaches to ensuring the quality and reliability of these services. The objective of this book is, by applying a systematic approach, to assess the state-of-the-art and consolidate the main research results achieved in this area. .
Pindex Book‘‘‘‘‘‘‘‘ 2018
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Conceptual and Analytical Models for Predicting the Quality of Service of Overall Telecommunicationessions for their prediction, are proposed. Overall pie characteristics and their causal aggregations are proposed as causal-oriented QoS indicators. The results demonstrate the ability of the model to facilitate a more precise dynamic QoS management as well as to serve as a source for predicting so
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Rodolfo Castelló,Rym Mili,Ioannis G. Tollisessions for their prediction, are proposed. Overall pie characteristics and their causal aggregations are proposed as causal-oriented QoS indicators. The results demonstrate the ability of the model to facilitate a more precise dynamic QoS management as well as to serve as a source for predicting so
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