Resource Scheduling under Diversified Service Quality Factors (RSDSQ) for IAAS in Cloud Computing
B. Ravindra Babu1, M. Veera Sekhar Rao2

1B. Ravindra Babu, Research Scholar, JNTUH, Hyderabad (Telangana), India.
2Dr. M. Veera Sekhar Rao, Research Scholar, JNTUH, Hyderabad (Telangana), India.
Manuscript received on 09 June 2019 | Revised Manuscript received on 30 June 2019 | Manuscript Published on 04 July 2019 | PP: 1100-1104 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A12050681S419/2019©BEIESP
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Abstract: The Resource Scheduling under Diversified Service Quality Factors for IAAS in Cloud Computing is addressed in this manuscript. This is since the resources under cloud platform are loosely coupled according to the SLA between cloud platform and the resource partakers. This enables the possibility of multiple resources from diversified partakers, those intended to accomplish similar service. The resource scheduling intends to select one resource among available resources to accomplish the scheduled task(s). The contemporary contributions related to resource scheduling are specific to one or more traditional QoS factors, which includes cost, deadline constrain, and power consumption. However, the quality of service often influenced by the contextual factors of the IAAS. Hence, this manuscript portrayed a novel resource scheduling strategy that orders the resources under degree of optimality, which is proposed in this manuscript. Unlike traditional methods of resource scheduling, this manuscript portrayed set of context related factors that are further used to define the heuristic measure called “Degree of Optimality”. The experimental study on simulated environment elevating the proposal performance advantage in averse to other existing methods.
Keywords: Resource Management (RM), Resource Scheduling (RS), Resource Provisioning (RP), Qos.
Scope of the Article: Cloud Computing