Efficient and Reliable Resource Management Framework for Public Cloud Computing

Abstract

The problem of dynamic resource management for a large-scale cloud environment is mitigated with optimized high throughput performance. The resource management framework consists of, Gossip protocol that ensures fair resource allocation among sites by calculating Memory Load Factor and CPU Load Factor and routing table for dynamically managing the tasks. A request partitioning approach based on gossip protocol is proposed that facilitates the cost-efficient and online splitting of user requests among eligible Cloud Service Providers within a networked cloud environment. Following the outcome of the request partitioning phase, the embedding phase - where the actual mapping of requested virtual to physical resources is performed that allows for efficient and balanced allocation of cloud resources. Finally, a thorough evaluation of the overall framework on a simulated cloud environment is made, which offers reliable and dynamic resource management.

Authors and Affiliations

M. Sasitharaga , T. Rajendran , M. Malarmathi

Keywords

Related Articles

A Cost Effective Scaling Approach for Cloud Applications 

Cloud computing is becoming an increasingly popular enterprise model in which computing resources are made available on-demand to the user as needed. In IT services the demand is not fixed and not predictable, henc...

Various Security Threats and Issues in Wireless Networks: A Survey  

-In rapid change of wireless transmission, the organizations are need to understand the range of security threats endemic to wireless technologies, including eavesdropping, wireless denial-of-service (DOS) attack...

A Survey on content Anatomy Approach to Temporal Topic Summarization  

content anatomy approach is an emerging research area in Content mining. In this approach, content anatomy approach defines a task called topic anatomy. Topic anatomy summarizes and associates the core parts of a top...

A New Approach for Sharpness and Contrast Enhancement of an Image 

unsharp masking is good tool for sharpness enhancement, it is an anti blurring filter. By using unsharp masking algorithm for sharpness enhancement, the resultant image suffering with two problems, first one is a h...

Reduction of Data at Namenode in HDFS using harballing Technique  

HDFS stands for the Hadoop Distributed File System. It has the property of handling large size files (in MB’s, GB’s or TB’s). Scientific applications adapted this HDFS/Mapreduce for large scale data analytics [1]....

Download PDF file
  • EP ID EP125789
  • DOI -
  • Views 69
  • Downloads 0

How To Cite

M. Sasitharaga, T. Rajendran, M. Malarmathi (2013). Efficient and Reliable Resource Management Framework for Public Cloud Computing. International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(5), 1732-1737. https://europub.co.uk/articles/-A-125789