scholarly journals Application of Selective Algorithm for Effective Resource Provisioning in Cloud Computing Environment

2014 ◽  
Vol 4 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Mayanka Katyal ◽  
Atul Mishra
Keyword(s):  
Cloud Computing ◽  
Resource Provisioning ◽  
Computing Environment ◽  
Cloud Computing Environment

scholarly journals An Efficient Resource Provisioned Technique in Cloud Computing Environment.

2020 ◽  
Vol 9 (3) ◽  
pp. 2133-2136
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Service Providers ◽  
Resource Provisioning ◽  
Resource Usage ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Efficient Resource ◽  
Cloud Framework

Different ICT-empowered service providers additionally have either embraced distributed computing or began moving administrations to cloud framework. Be that as it may, the expanding interest for cloud based foundation has come about into extreme issue of managing the resources and adjusting of load for cloud specialist providers and customers. Specialists have recommended various resource provisioning techniques for effective resource usage. An epic burden adjusting procedure addressing the movement of the outstanding task at hand from over-stacked VM to gently stacked VM in distributed computing conditions is presented in this paper. An undertaking is made to help the cloud accomplices to beat the imbalanced asset utilization issue is shown in this paper.

scholarly journals An Optimal Resource Provisioning Algorithm for Cloud Computing Environment

2017 ◽  
Vol 10 (2) ◽  
pp. 371-384
Author(s):  
Shivangi Nigam ◽  
Abhishek Bajpai
Keyword(s):  
Cloud Computing ◽  
Resource Provisioning ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Resource ◽  
Optimal Resource ◽  
Decision Alternatives ◽  
Hierarchy Process ◽  
Cloud Users ◽  
Cloud Resources

Resource Provisioning in a Cloud Computing Environment ensures flexible and dynamic access of the cloud resources to the end users. The Multi-Objective Decision Making approach considers assigning priorities to the decision alternatives in the environment. Each alternative represents a cloud resource defined in terms of various characteristics termed as decision criteria. The provisioning objectives refer to the heterogeneous requirements of the cloud users. This research study proposes a Resource Interest Score Evaluation Optimal Resource Provisioning (RISE-ORP) algorithm which uses Analytical Hierarchy Process (AHP) and Ant Colony Optimization (ACO) as a unified MOMD approach to design an optimal resource provisioning system. It uses AHP as a method to rank the cloud resources for provisioning. The ACO is used to examine the cloud resources for which resource traits best satisfy the provisioning. The performance of this approach is analyzed using CloudSim. The experimental results show that our approach offers improvement in the performance of previously used AHP approach for resource provisioning.

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