DocumentCode :
244562
Title :
A distributed self-balancing policy for virtual machine management in cloud datacenters
Author :
Loreti, Daniela ; Ciampolini, Anna
Author_Institution :
Dept. of Comput. Sci. & Eng., Alma Mater Studiorum Univ. di Bologna, Bologna, Italy
fYear :
2014
fDate :
21-25 July 2014
Firstpage :
391
Lastpage :
398
Abstract :
Cloud Computing is a crucial computational paradigm for modern companies because it can discharge them from managing their ever growing IT infrastructure. Dynamically offering a plenty of computational resources, the cloud can also simplify the execution of CPU-intensive applications. Modern data centers for cloud computing are facing the challenge of a growing complexity due to the increasing number of users and their augmenting resource requests. A lot of efforts are now concentrated on providing the cloud infrastructure with autonomic behavior, so that it can take decisions about virtual machine (VM) management across the datacenter´s nodes without human intervention. While the major part of these solutions is intrinsically centralized and suffers of scalability and reliability problems, we investigate the possibility to provide the cloud with a decentralized self-organizing behavior. To this purpose we present a novel VM migration policy suitable for a distributed environment, where hosts can exchange status information with each other according to a predefined protocol. The main goal of the policy is to balance the computational load on datacenter´s physical hosts by conveniently moving virtual machines (VMs). We tested the policy performance by means of an ad hoc built simulator.
Keywords :
cloud computing; computer centres; virtual machines; IT infrastructure; VM management; VM migration policy; cloud computing; cloud data centers; computational resources; decentralized self-organizing behavior; distributed self-balancing policy; information technology; virtual machine management; Cloud computing; Computer architecture; Heuristic algorithms; Protocols; Resource management; Servers; Virtual machining; Cloud Computing & Architectures; Load Balancing and Sharing; Virtualization and Virtual Machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location :
Bologna
Print_ISBN :
978-1-4799-5312-7
Type :
conf
DOI :
10.1109/HPCSim.2014.6903712
Filename :
6903712
Link To Document :
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