Cloud based Cost Effective Resource Allocation Model for Software-as-a-service Deployments
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.9, No. 2)Publication Date: 2013-02-11
Authors : Ibrahim A. Cheema; Mudassar Ahmad; Fahad Jan; Shahla Asadi;
Page : 1068-1079
Keywords : Cloud Computing; Software-as-a-Service (SaaS); Cloud Resource Allocation;
- Cloud based Cost Effective Resource Allocation Model for Software-as-a-service Deployments
- RESOURCE ALLOCATION PLANNER FOR DISASTER RECOVERY (RAP-DR) BASED ON PREEMINENT RESPONSIVE RESOURCE ALLOCATION USING PARAMETER SELECTION OF VIRTUAL MACHINES OR CLOUD DATA SERVER
- RESOURCE ALLOCATION PLANNER FOR DISASTER RECOVERY (RAP-DR) BASED ON PREEMINENT RESPONSIVE RESOURCE ALLOCATION USING PARAMETER SELECTION OF VIRTUAL MACHINES OR CLOUD DATA SERVER
- Dynamic Resource Allocation for Cloud Computing Including the Feasibility Study on Green Computing (Using Need Based Resource Allocation Scheme)
- Designing a Fuzzy-Logic Based Trust and Reputation Model for Secure Resource Allocation in Cloud Computing
Abstract
The Cloud Computing (CC) provides access to the resources with usage based payments model. The application service providers can seamlessly scale the services. In CC infrastructure, a different number of virtual machine instances can be created depending on the application requirements. The capability to scale Software-as-a-Service (SaaS) application is very attractive to the providers because of the potential to scale application resources to up or down, the user only pay for the resources required. Even though the large-scale applications are deployed on cloud infrastructures on pay-per-use basis, the cost of idle resources (memory, CPU) is still charged to application providers. The issues of saturation and wastage of cloud resources are still unresolved. This paper attempts to propose the resource allocation models for SaaS applications deployments over CC platforms. The best balanced resource allocation model is proposed keeping in view cost and user requirements.
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