Cloud Computing for Optimization: Foundations, Applications, and Challenges

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UL6322HT2O3
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Geliefert zwischen Mo., 23.02.2026 und Di., 24.02.2026

Details

Presents recent research on Cloud Computing for Optimization
Presents the state-of-the-art computing paradigms, advancement made in applications, as well as prompting future directions on both the theories and applications of optimization techniques in cloud computing in several diversified fields
Targets the methodologies to optimize resource utilization, make-span, and energy consumption in cloud environment


Includes recent research on cloud computing for optimization Presents the state-of-the-art computing paradigms and advances in applications Proposes future directions for both the theories and applications of optimization techniques in cloud computing in various fields Highlights the methodologies for optimizing resource utilization, make-span, and energy consumption in cloud environment

Zusammenfassung
Presents recent research on Cloud Computing for Optimization
Presents the state-of-the-art computing paradigms, advancement made in applications, as well as prompting future directions on both the theories and applications of optimization techniques in cloud computing in several diversified fields
Targets the methodologies to optimize resource utilization, make-span, and energy consumption in cloud environment


Inhalt
Nature Inspired Optimizations in Cloud Computing: Applications and Challenges.- Resource Allocation in Cloud Computing Using OptimizationTechniques.- Energy Aware Resource Allocation Model for IaaS Optimization.- A Game Theoretic Model for Cloud Federation.- Resource Provisioning Strategy for Scientic Workows in Cloud Computing Environment.- Consolidation in Cloud Environment Using OptimizationTechniques.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319736754
    • Anzahl Seiten 463
    • Lesemotiv Verstehen
    • Genre Technology
    • Editor Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev
    • Sprache Englisch
    • Herausgeber Springer
    • Gewicht 874g
    • Untertitel Studies in Big Data 39
    • Größe H244mm x B164mm x T32mm
    • Jahr 2018
    • EAN 9783319736754
    • Format Fester Einband
    • ISBN 978-3-319-73675-4
    • Titel Cloud Computing for Optimization: Foundations, Applications, and Challenges

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