← Back to VOLUME 2, ISSUE 12, DECEMBER 2013
This work is licensed under a Creative Commons Attribution 4.0 International License.
Predicting Resource Allocation in Distributed Environment by Using Online Predictive Approach a Review
PROF. S. M. TIDKE, RUCHA RAVINDRA GALGALI Assistant Professor, Computer Science and Engineering, Shreeyash Engineering college, Aurangabad, India Student, Computer Science and Engineering, Shreeyash Engineering college, Aurangabad, India
Downloads: Download PDF
π 40 viewsπ₯ 1 download
Abstract: A distributed system consists of a collection of autonomous computers connected through network which enables computer to coordinate their activities and to share the resources of the system so that users perceive the system as a single, integrated computing facility. In distributed system there are many clients are connected, so it is very difficult to handle, analyze and process the data in distributed environment. To process such a large data many techniques like migration of data, replication of data, parallelism are available, but they have some disadvantages. These disadvantages have motivated this paper to implement the online predictive approach algorithm to predict the resource allotment for the process. The resource prediction is used to optimize the data access operations like read, write, uploading and downloading the file etc. Advantages of this strategy are the client can analyze the process behavior and also client will get application execution time.
Keywords: Time series, Application prediction, Distributed system, Application analysis, Replication
Keywords: Time series, Application prediction, Distributed system, Application analysis, Replication
How to Cite:
[1] PROF. S. M. TIDKE, RUCHA RAVINDRA GALGALI Assistant Professor, Computer Science and Engineering, Shreeyash Engineering college, Aurangabad, India Student, Computer Science and Engineering, Shreeyash Engineering college, Aurangabad, India, βPredicting Resource Allocation in Distributed Environment by Using Online Predictive Approach a Review,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
