Optimal resource provisioning for cloud computing environment

2012 ◽  
Vol 62 (2) ◽  
pp. 989-1022 ◽  
Author(s):  
Chunlin Li ◽  
La Yuan Li
Keyword(s):  
Cloud Computing ◽  
Resource Provisioning ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Optimal Resource

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.

Optimal Resource Usage in Multi-Cloud Computing Environment

2013 ◽  
Vol 3 (1) ◽  
pp. 44-57 ◽  
Author(s):  
Veena Goswami ◽  
Choudhury Nishkanta Sahoo
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Queueing Network ◽  
Computing Environment ◽  
New Paradigm ◽  
Cloud Computing Environment ◽  
Optimal Resource ◽  
Optimal Resource Management ◽  
And Performance ◽  
Multi Cloud

Cloud computing has emerged as a new paradigm for accessing distributed computing resources such as infrastructure, hardware platform, and software applications on-demand over the internet as services. This paper presents an optimal resource management framework for multi-cloud computing environment. The authors model the behavior and performance of applications to integrate different service-providers for end-to-end-requirements. Each service model caters to specific type of requirements and there are already number of players with own customized products/services offered. Intercloud Federation and Service delegation models are part of Multi-Cloud environment where the broader target is to achieve infinite pool of resources. They propose an analytical queueing network model to improve the efficiency of the system. Numerical results indicate that the proposed provisioning technique detects changes in arrival pattern, resource demands that occur over time and allocates multiple virtualized IT resources accordingly to achieve application Quality of Service targets.

An Optimal Resource Allocation Algorithm in Cloud Computing Environment

2015 ◽  
Vol 733 ◽  
pp. 779-783 ◽  
Author(s):  
Lu Dai ◽  
Jian Hua Li
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Optimization ◽  
Scientific Basis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Optimal Resource ◽  
And Performance

Resource allocation is a key technology of cloud computing. At present, the most of studies on resource allocation mainly focus on improving the overall performance by balancing the load of data center. This paper will design the experimental platform of resource allocation algorithm, energy optimization and performance analysis, obtain original achievements in scientific research ,for the resource allocation method based on immune algorithm and energy optimization in cloud computing to provide innovative ideas and scientific basis. This research has important significance for further study on resource allocation and energy optimization in cloud computing environment.

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