The Markov Model Based Algorithm to Predict Networking Load on the Computational Grid |
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Authors: | Sayaka Akioka Yoichi Muraoka |
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Institution: | (1) Waseda University, 3-4-1 Okubo, Shinkuku-ku, Tokyo 169-8555, Japan |
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Abstract: | The computational Grid is currently gaining in popularity, and it enables computers scattered all over the world to be connected
by the Internet as if they are part of a large computational infrastructure. While the computational Grid gathers more and
more computational resources and the number of the applications for the computational Grid is increasing, load balancing for
the computational Grid is still not effective enough. Because the computers are connected by a wide area network on the computational
Grid, the significant communication latency and the frequency of large wave throughputs make it difficult to achieve effective
load balancing. Thus, in this paper, we propose an algorithm to predict networking loads on the computational Grid to make
the use of computational resources more efficient. The proposed algorithm based on the Markov model is evaluated using an
actual networking load. As a result, the Markov model based algorithm offers the most accurate predictions compared with the
related work.
This revised version was published online in July 2006 with corrections to the Cover Date. |
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Keywords: | the computational Grid load prediction networking load load balancing scheduling |
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