Abstract
Recently mobile devices become considered as grid resources as the technology of mobile devices and wireless communication network improves. But mobile devices have several problems such as instability of wireless communication, intermittent connection, limitation of power supply, and low communication bandwidth. These problems make it difficult to use mobile grid computing resources for stable job processing effectively. For stable resource participation of mobile devices, a monitoring scheme that collects and analyzes dynamic information of mobile devices, such as CPU, memory, storage, network and location, is required. But, if the time interval of monitoring is very short, overhead of collecting information increases. The scheme, however, cannot keep correct state information in dynamic environments if the interval is very long. This paper proposes a monitoring service scheme that adjusts the time interval of monitoring according to the state information predicted by Markov Chain model.
This research was supported by a Korea University Grant (2010).
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References
Foster, I.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. In: CCGRID 2001 (2001)
Foster, I.: What is the Grid? A Three Point Checklist (2002), http://www-fp.mcs.anl.gov/~foster (visit 2009.6.15)
R-GMA: Relational Grid Monitoring Architecture (December 2003), http://rgma.org/ (visit 2009.08.20)
Huh1, E.N.: An Optimal and Dynamic Monitoring time interval for Grid Resource Environments. In: ICCS 2004 (2004)
MDS, http://www.globus.org/toolkit/mds/ (visit 2009.08.25)
GMA White Paper, http://www-didc.lbl.gov/GGFPERF/GMA-WG/ (visit 2009. 08.26)
Whittaker, J.A., Thomason, M.G.: A Markov chain model for statistical software testing. IEEE Transactions (1994)
Song, S.J., Yu, H.C.: The Scheduling method considering the Using Pattern of the Mobile device in Mobile Grid. Journal of Korea Association of Computer Education (2008)
Lee, J.H., Sung, J.S., Joon, M.G., Chung, K.S., Suh, T., Yu, H.C.: Balanced Scheduling Algorithm Considering Availability in Mobile Grid. In: Abdennadher, N., Petcu, D. (eds.) GPC 2009, Geneva. LNCS, vol. 5529, pp. 211–222. Springer, Heidelberg (2009)
SIGAR, http://www.hyperic.com/ (visit 2009.11.20)
RXTX, http://rxtx.qbang.org/ (visit 2009.11.23)
http://www-903.ibm.com/kr/event/download/20080612_360_notes/s360.pdf (visit 2009.11. 25)
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Park, J., Chung, K., Lee, E., Jeong, Y., Yu, H. (2010). Monitoring Service Using Markov Chain Model in Mobile Grid Environment. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_23
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DOI: https://doi.org/10.1007/978-3-642-13067-0_23
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