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Herausgeber: 
  • Maria Potop-Butucaru
  • Florin Pop
  • Adaptive Resource Management and Scheduling for Cloud Computing: Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium o 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2016  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Application software / C / Computer and Information Systems Applications / Computer Communication Networks / Computer communication systems / Computer Modelling / Computer modelling & simulation / Computer programming / Computer programming / software engineering / computer science / Computer simulation / Information Retrieval / Information Systems Applications (incl. Internet) / Internet searching / Network hardware / Programming Techniques / Simulation and Modeling / Software Engineering
    ISBN:  9783319284477 
    EAN-Code: 
    9783319284477 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #9438 - Lecture Notes in Computer Science
    Theoretical Computer Science and General Issues  
    Dimensionen:  H 235 mm / B 155 mm / D 12 mm 
    Gewicht:  312 gr 
    Seiten:  200 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebastián, Spain, in July 2015. The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.

      



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