A Mobile Agent-Based System for Server Resource Monitoring

Tie, Zhixin

doi:10.2478/cait-2013-0057

Abstract

Mobile agent technology has become an important approach for the design and development of distributed systems. Currently, there is little research regarding the efficiency of mobile agent-based monitoring of the server resource. Based on the Mobile-C library, a mobile agent-based system called Mobile Agent- Based Server Resource Monitoring System (MABSRMS) is presented. In MABSRMS mobile agents can call low level functions in binary dynamic or static libraries, and thus can monitor server resource conveniently and efficiently. The experiment was conducted in a university computer center with hundreds of computer workstations and 15 server machines. The experiment uses the MABSRMS to detect system resources, such as available hard disk space, CPU usage and main memory usage. The experiment shows that the mobile agent-based monitoring system is a practical way to monitor server resources in large scale distributed computer centers.

References

1. Barth, J. S. System and Method for Collecting and Displaying Information about Many Computer Systems. U. S. Patent No US 8131842B1, March 6, 2012.
Search in Google Scholar
2. Stallings, W. SNMP, SNMPv2, SNMPv3 and RMON 1 and 2. Third Ed. Addison Wesley, 1999.10.1109/COMST.1998.5340405
Search in Google Scholar
3. Zeng, W., Y. Wang. Design and Implementation of Server Monitoring System Based on SNMP. - In: Proceedings of 1st IITA International Joint Conference on Artificial Intelligence, China, Hainan Island, April 2009, 680-682.
Search in Google Scholar
4. Yuchen g, L., L. Yubi n. A Monitoring System Design Program Based on B/S Mode. − In: 2010 International Conference on Intelligent Computation Technology and Automation, China, Changsha, May 2010, 184-187.10.1109/ICICTA.2010.106
Search in Google Scholar
5. Mishra, Atul, A. K. Sharma. Application of Mobile Agent in Distributed Network Management. - In: Proceedings of 2012 International Conference on Communication Systems and Network Technologies, India, Rajkot, Gujrat, May 2012, 930-935.10.1109/CSNT.2012.198
Search in Google Scholar
6. Bieszcza d, A., B. Pagure k, T. Whit e. Mobile Agents for Network Management. - IEEE Communications Surveys, Vol. 1, 1998, No 1, 1-9.10.1109/COMST.1998.5340400
Search in Google Scholar
7. Bellavista, P., A. Corrad i, C. Stefanelli. An Open Secure Mobile Agent Framework for Systems Management. - Journal of Network and Systems Management, Vol. 7, 1999, No 3, 323-339.10.1023/A:1018775413054
Search in Google Scholar
8. Ahn, J. Fault-Tolerant Mobile Agent-Based Monitoring Mechanism for Highly Dynamic Distributed Networks. - IJCSI International Journal of Computer Science Issues, Vol. 7, May 2010, No 3, 1-7.
Search in Google Scholar
9. Gavalas, D., G. E. Tsekoura s, C. Anagnostopoulo s. A Mobile Agent Platform for Distributed Network and System Management. - Journal of Systems and Software, Vol. 82, 2009, 355-371.10.1016/j.jss.2008.06.034
Search in Google Scholar
10. Nair, M. K., V. Gopalakrishn a. Applying Web Services with Mobile Agents For Computer Network Management. - International Journal of Computer Networks and Communications (IJCNC), Vol. 3, March 2011, No 2, 125-144.10.5121/ijcnc.2011.3209
Search in Google Scholar
11. Zhang, N., J. Zhan g. A Self-Adapted Anycast Routing Algorithm Based on Mobile Agent in Wireless Sensor Network. - Journal of Networks, Vol. 6, 2011, No 2, 206-213.10.4304/jnw.6.2.206-213
Search in Google Scholar
12. Wu, Q., N. S. V. Ra o, J. Barhen et al. On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks. - IEEE Transactions on Knowledge and Data Engineering, Vol. 16, June 2004, No 6.10.1109/TKDE.2004.12
Search in Google Scholar
13. Wang, L. G., Y. D. Qi. Management Model Research of Low-Power Wireless Sensor Network. - Journal of Networks, Vol. 6, 2011, No 12, 1734-1739.10.4304/jnw.6.12.1734-1739
Search in Google Scholar
14. Ugur, A., U. A. Sima. Distributed Detection of Ddos Attacks During the Intermediate Phase Through Mobile Agents. - Computing and Informatics, Vol. 31, 2012, No 4, 759-778.
Search in Google Scholar
15. El Kadh i, N., K. Hadjar, N. El Zant. A Mobile Agents and Artificial Neural Networks for Intrusion Detection. - Journal of Software, Vol. 7, 2012, No 1, 156-160.10.4304/jsw.7.1.156-160
Search in Google Scholar
16. Hou, Z., Z. Yu, W. Zhen g, X. Zu o. Research on Distributed Intrusion Detection System Based on Mobile Agent. - Journal of Computers, Vol. 7, 2012, No 8, 1919-1926.10.4304/jcp.7.8.1919-1926
Search in Google Scholar
17. Mobile-C: A Multi-Agent Platform for Mobile C/C++ Code. 2005. http://www.mobilec.org
Search in Google Scholar
18. Chen, Bo., H. H. Chen g, J. Pale n. Mobile-C: A Mobile Agent Platform for Mobile C/C++ Code. - Software - Practice & Experience, Vol. 36, 2006, No 15, 1711-1733.10.1002/spe.742
Search in Google Scholar
19. Chou, Y.-C., D. Ko, H. H. Chen g. An Embeddable Mobile Agent Platform Supporting Runtime Code Mobility, Interaction and Coordination of Mobile Agents and Host Systems. - Information and Software Technology, Vol. 52, February 2010, No 2, 185-196.10.1016/j.infsof.2009.09.002
Search in Google Scholar
20. Cheng, H. H. Scientific Computing in the Ch Programming Language. - Scientific Programming, Vol. 2, 1993, No 3, 49-75.10.1155/1993/261875
Search in Google Scholar
21. Cheng, H. H. Ch: A C/C++ Interpreter for Script Computing. - C/C++ User’s Journal, Vol. 24, 2006, No 1, 6-12.
Search in Google Scholar
22. Cheng, H. H. Ch - An Embeddable C/C++ Interpreter. http://www.softintegration.com
Search in Google Scholar
23. Ch - An embeddable C/C++ Interpreter. Softintegration, Inc. htth://www.softintergration.com/
Search in Google Scholar
24. Softintegration. The Ch Language Environment - SDK User’s Guide. Softintegration, Inc. http//www.softintegration.com.
Search in Google Scholar
25. Embedded Ch User’s Guide, Softintegration, Inc. http://www.softintegration.com/products/sdk/embedded ch/
Search in Google Scholar
26. Chen, B., H. H. Chen g. Interpretive Open GLfor Computer Graphics. - Computers & Graphics, Vol. 29, June 2005, No 3, 331-339.10.1016/j.cag.2005.03.002
Search in Google Scholar
27. Wang, Z., H. H. Chen g. Portable C/C++ Code for Portable XML Data. - IEEE Software, Vol. 23, No 1.
Search in Google Scholar
28. Microsoft Corporation. Get Disk Free Space Ex Function. 2013. http://msdn.microsoft.com/en-us/library/aa364937(VS.85).aspx
Search in Google Scholar
29. Microsoft Corporation. Get System Times Function. 2013. http://msdn.microsoft.com/en-us/library/windows/desktop/ms724400(v=vs.85).aspx
Search in Google Scholar
30. Ejor. Get CPU Usage with Get System Times. December 2004. http://www.codeproject.com/Articles/9113/Get-CPU-Usage-with-Get System Times
Search in Google Scholar
31. Sascha Nitsch Unternehmensberatung UG. www.LinuxHowtos.org howtos, tips&tricks and tutorials for linux. 2013. http://www.linuxhowtos.org/System/procstat.htm
Search in Google Scholar
32. Microsoft Corporation. Global Memory Status Ex Function. 2013. http://msdn.microsoft.com/en-us/library/windows/desktop/aa366589(v=vs.85).aspx
Search in Google Scholar

A Mobile Agent-Based System for Server Resource Monitoring

Abstract

Paradigm

My account