International Journal of Advanced Networking and Applications

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Resource Scheduling and Evaluation of Heuristics with Resource Reservation in Cloud Computing


Affiliations
1 School of Engineering RK University, Rajkot, Gujarat, India
2 Marwadi University, Rajkot, India
 

The "cloud" is a combination of various hardware and software that work jointly to bring many aspects of computing to the users as an online service. Some uniqueness of Cloud Computing is pay-per-use, elastic capacity, misapprehension of unlimited resources, self-service interface, virtualized resources etc. Various applications running on cloud environment would expect better Quality of Service (QoS) from Cloud environment. Improvement in Quality of Service (QoS) is possible through better job scheduling and reservation of resources in advance for execution of jobs. In this paper effects of Reservation Rate and Time Factor on the performance parameters like Resource Utilization, Waiting Time, Minimum Execution Time and Success Rate of Reserved jobs have been studied for various job scheduling algorithms and their performance have been calculated in resource reservation environment in Cloud.

Keywords

Cloud Computing, Max-Mix, Min-Min Resource Reservation, Priority Scheduling.
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  • Resource Scheduling and Evaluation of Heuristics with Resource Reservation in Cloud Computing

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Authors

Krunal N. Vaghela
School of Engineering RK University, Rajkot, Gujarat, India
Amit M. Lathigara
Marwadi University, Rajkot, India

Abstract


The "cloud" is a combination of various hardware and software that work jointly to bring many aspects of computing to the users as an online service. Some uniqueness of Cloud Computing is pay-per-use, elastic capacity, misapprehension of unlimited resources, self-service interface, virtualized resources etc. Various applications running on cloud environment would expect better Quality of Service (QoS) from Cloud environment. Improvement in Quality of Service (QoS) is possible through better job scheduling and reservation of resources in advance for execution of jobs. In this paper effects of Reservation Rate and Time Factor on the performance parameters like Resource Utilization, Waiting Time, Minimum Execution Time and Success Rate of Reserved jobs have been studied for various job scheduling algorithms and their performance have been calculated in resource reservation environment in Cloud.

Keywords


Cloud Computing, Max-Mix, Min-Min Resource Reservation, Priority Scheduling.

References