European Journal of Molecular & Clinical Medicine

Abstract

The problem of collaborative computing in the cloud environment has been well studied. Several approaches available to handle the issue of collaborative computing and still suffer to achieve higher performance in different QoS parameters. The performance of various simulation models has been analyzed for different parameters in this paper. To improve performance an efficient multi-attribute performance analysis model has been presented. The method first presents a collaborative content sharing strategy (CCSS) which maintains a dual copy of any resource in the cloud which has been accessed by different users. The method enforces an attribute-based update restriction (ABUR) algorithm which uses different keys to restrict malicious updating from different users. The public auditing has been enforced with ABUR and CCSS algorithms. The multi-attribute performance analysis model estimates various QoS parameters like throughput, completion, and public auditing on various simulation models of the cloud environment. A testbed is generated to simulate the performance of different cloud computing tools in a collaborative environment. The performance of simulation models has been measured and compared with the results of other models in detail