Open AccessPerformance Evaluation of Resource Management in Cloud Computing Environments
Author(s) -
Bruno C. Batista,
Júlio Cézar Estrella,
Carlos H. G. Ferreira,
Dionisio Machado Leite Filho,
Luis Hideo Vasconcelos Nakamura,
Stephan Reiff-Marganiec,
Marcos José Santana,
Regina Helena Carlucci Santana
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0141914
Subject(s) - cloud computing , computer science , workload , resource management (computing) , resource (disambiguation) , virtualization , quality of service , service provider , software deployment , resource allocation , task (project management) , service level agreement , service (business) , distributed computing , computer network , operating system , business , systems engineering , marketing , engineering
Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resources so that they can be optimized. This dynamic resource management is not a trivial task, since it involves meeting several challenges related to workload modeling, virtualization, performance modeling, deployment and monitoring of applications on virtualized resources. This paper carries out a performance evaluation of a module for resource management in a cloud environment that includes handling available resources during execution time and ensuring the quality of service defined in the service level agreement. An analysis was conducted of different resource configurations to define which dimension of resource scaling has a real influence on client requests. The results were used to model and implement a simulated cloud system, in which the allocated resource can be changed on-the-fly, with a corresponding change in price. In this way, the proposed module seeks to satisfy both the client by ensuring quality of service, and the provider by ensuring the best use of resources at a fair price.