Research Area: Cloud Computing
Provisioning of appropriate resources to cloud workloads depends on the Quality of Service (QoS) requirements of cloud workloads. Based on application requirements of cloud users, discovery and allocation of best workload – resource pair is an optimization problem. Acceptable QoS cannot be provided to the cloud users until provisioning of resources is offered as a crucial ability. QoS parameters based resource provisioning technique is therefore required for efficient provisioning of resources. In this paper, QoS metric based resource provisioning technique has been proposed. The proposed technique caters to provisioned resource distribution and scheduling of resources. The main aim of this research work is to analyze the workloads, categorize them on the basis of common patterns and then provision the cloud workloads before actual scheduling. The experimental results demonstrate that QoS metric based resource provisioning technique is efficient in reducing execution time and execution cost of cloud workloads along with other QoS parameters.
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Author(s) Name: Sukhpal Singh,nderveer Chana
Journal name: Computers & Electrical Engineering
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Publisher name: Elsevier
DOI: 10.1016/j.compeleceng.2015.02.003
Volume Information: Volume 47, October 2015, Pages 138-160
