JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Log Analysis System with REST Web Services for Desktop Grids and its Application to Resource Group-based Task Scheduling
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Log Analysis System with REST Web Services for Desktop Grids and its Application to Resource Group-based Task Scheduling
Gil, Joon-Min; Kim, Mi-Hye;
  PDF(new window)
 Abstract
It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.
 Keywords
Desktop Grids;Execution Behavior;Log Analysis System;REST Web Services;Resource Group-based Task Scheduling;
 Language
English
 Cited by
1.
Cloud computing for mobile environments, Concurrency and Computation: Practice and Experience, 2016, 28, 10, 2753  crossref(new windwow)
2.
Task scheduling scheme based on resource clustering in desktop grids, International Journal of Communication Systems, 2014, 27, 6, 918  crossref(new windwow)
3.
Task scheduling scheme by checkpoint sharing and task duplication in P2P-based desktop grids, Journal of Central South University, 2014, 21, 10, 3864  crossref(new windwow)
4.
Unstructured deadlock detection technique with scalability and complexity-efficiency in clouds, International Journal of Communication Systems, 2014, 27, 6, 852  crossref(new windwow)
5.
Dynamic group-based fault tolerance technique for reliable resource management in mobile cloud computing, Concurrency and Computation: Practice and Experience, 2016, 28, 10, 2756  crossref(new windwow)
 References
1.
P. Kacsuk, R. Lovas, and Z. Nemeth, Distributed and Parallel Systems in Focus: Desktop Grid Computing, Springer, 2008.

2.
D. P. Anderson and G. Fedak, "The Computational and Storage Potential of Volunteer Computing," Sixth IEEE International Symposium on Cluster Computing and the Grid, 2006, pp.73-80.

3.
I. Al-Azzoni and D. G. Down, "Dynamic Scheduling for Heterogeneous Desktop Grids," Journal of Parallel and Distributed Computing, Vol.70, No.12, 2010, pp.1231-1240. crossref(new window)

4.
BOINC: Berkeley Open Infrastructure for Network Computing, http://boinc.berkeley.edu.

5.
XtremWeb, http://www.xtremweb.net.

6.
Korea@Home, http://www.koreaathome.org.

7.
D. Kando, G. Fedaka, F. Cappello, A. A. Chien, and H. Casanova "Characterizing Resource Availability in Enterprise Desktop Grids," Future Generation Computer Systems, Vol.23, 2007, pp.888-903. crossref(new window)

8.
M. L. Shooman, Reliability of Computer Systems and Networks, John Wiley & Sons Inc., 2002.

9.
JDOM 1.1, http://www.jdom.org.

10.
MySQL 5.5, http://www.mysql.com.

11.
Lightweight REST framework for Java, http://www.restlet.org.

12.
S. Vinoski, "Demystifying RESTful Data Coupling," IEEE Internet Computing, Vol.12, No.2, 2008, pp.87-90.

13.
L. Richardson and S. Ruby, RESTful Web Services, O'Relly, 2007.