ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach

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• 作者：Florin Pop^a ; ^{florin.pop@cs.pub.ro" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Maria Potop-Butucaru^b ; ^{maria.potop-butucaru@lip6.fr" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Resource management ; Task scheduling ; Adaptive methods ; Cloud computing ; Ubiquitous systems
• 刊名：Future Generation Computer Systems
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：54
• 期：Complete
• 页码：79-81
• 全文大小：401 K

文摘

Cloud Computing can be seen as one of the latest major evolution in computing offering unlimited possibility to use ICT in various domains: business, smart cities, medicine, environmental computing, mobile systems, design and implementation of cyber-infrastructures. The recent expansion of Cloud Systems has led to adapting resource management solutions for large number of wide distributed and heterogeneous datacenters. The adaptive methods used in this context are oriented on: self-stabilizing, self-organizing and autonomic systems; dynamic, adaptive and machine learning based distributed algorithms; fault tolerance, reliability, availability of distributed systems. The pay-per-use economic model of Cloud Computing comes with a new challenge: maximizing the profit for service providers, minimizing the total cost for customers and being friendly with the environment.

This special issue presents advances in virtual machine assignment and placement, multi-objective and multi-constraints job scheduling, resource management in federated Clouds and in heterogeneous environments, dynamic topology for data distribution, workflow performance improvement, energy efficiency techniques and assurance of Service Level Agreements.