An adaptive resource management scheme in cloud computingAbstract There are various significant issues in resource allocation, such as maximum computing performance and green computing, which have attracted researchersa attention recently. Therefore, how to accomplish tasks with the lowest cost has become an important issue, especially considering the rate at which the resources on the Earth are being used. The goal of this research is to design a sub-optimal resource allocation system in a cloud computing environment. A prediction mechanism is realized by using support vector regressions (SVRs) to estimate the number of resource utilization according to the SLA of each process, and the resources are redistributed based on the current status of all virtual machines installed in physical machines. Notably, a resource dispatch mechanism using genetic algorithms (GAs) is proposed in this study to determine the reallocation of resources. The experimental results show that the proposed scheme achieves an effective configuration via reaching an agreement between the utilization of resources within physical machines monitored by a physical machine monitor and service level agreements (SLA) between virtual machines operators and a cloud services provider. In addition, our proposed mechanism can fully utilize hardware resources and maintain desirable performance in the cloud environment. KeywordsCloud computing; Support vector regression; Genetic algorithms; Resource allocation; PredictionThe cameras are commercial off-the-shelf (either Leica D-Lux4 or Panasonic Lumix LX3), selected for their optical lens, high sensor resolution (10Mpixel sensors) and data storage on Secure Digital mass storage memory card. They haveanbsp;...
|Title||:||AN ADAPTIVE RESOURCE MANAGEMENT SCHEME IN CLOUD COMPUTING|
|Publisher||:||Science World Lib -|