Machine Learning and Optimization Models for Optimization in Cloud
Thisbook focuses on modeling and optimization of cloud-ready and content-orientednetworks in the context of different layers and accounts for specificconstraints following from protocols andtechnologies used in a particular layer. It addresses a wide range ofadditional constraints importantin contemporary networks, including various types of network flows,survivability issues, multi-layer networking, and resource location.
Thebook presents recent existing and new results in a comprehensive and cohesiveway. The contents of the book are organized in five chapters, which are mostlyself-contained.
Chapter 1 briefly presents information oncloud computing and content-oriented services, and introduces basic notionsand concepts of network modeling and optimization. Chapter 2 covers various optimizationproblems that arise in the context of connection-oriented networks. Chapter3 focuses on modeling and optimization of Elastic Optical Networks. Chapter 4 isdevoted to overlay networks. The book concludes with Chapter 5, summarizing thebook and present recent research trends in the field of network optimization.Discover your next great read at BookLoop, Australiand online bookstore offering a vast selection of titles across various genres and interests. Whether you're curious about what's trending or searching for graphic novels that captivate, thrilling crime and mystery fiction, or exhilarating action and adventure stories, our curated collections have something for every reader. Delve into imaginative fantasy worlds or explore the realms of science fiction that challenge the boundaries of reality. Fans of contemporary narratives will find compelling stories in our contemporary fiction section. Embark on epic journeys with our fantasy and science fiction titles,
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