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Achievements in European Research on Grid Systems: CoreGRID by Sergei Gorlatch, Marian Bubak, Thierry Priol

By Sergei Gorlatch, Marian Bubak, Thierry Priol

This quantity contains the edited lawsuits of the second one CoreGRID Integration Workshop, CGIW'2006, held October 2006 in Krakow, Poland. A "Network of Excellence" funded via the eu Commission’s 6th Framework software, CoreGRID goals to reinforce and enhance medical and technological excellence within the zone of Grid and Peer-to-Peer applied sciences by way of bringing jointly a severe mass of well-established researchers from forty-one ecu study associations. Designed for a qualified viewers of practitioners and researchers, the quantity can be appropriate for advanced-level scholars in desktop technology.

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Consider that Sm−1 = m i=1 i · q ′ ′ By multiplying Sm−1 by q and taking the difference (1 − q)Sm−1 , we get −mq m ′ . 9 Upper bound of benefit relative to maximum time Upper bound of benefit relative to maximum time In Figures 1(a) and 1(b) we depict the time that we can save relative to T (E[W ]/T ), considering Equation 2. 05. From Eq. 2 we conclude that the maximum time that a checkpoint comparison can save converges to T , when m → ⊤. When p → 1, the time that we can save approaches T · m−1 m as we would expect.

We find that with only an error rate of 5% and checkpoint frequency of 20 times per task, the gain is as high as 35% compared to the case where error detection is done only at the end of task execution. For higher checkpoint frequencies or high error rates, the benefits are even greater. For future work, we plan to extend the study the case where segments are completed with non-uniform execution times. In addition, we will study and characterize work unit error rates in a real BOINC project, namely XtremLab [18], and then instantiate our model with such error rates.

5T ). For the Gaussian distribution, we considered averages of pe and T , and standard deviations of 30% of the average. 5T ], respectively. In Figure 2, we show the average result of varying the number of checkpoints for 300 different trials. As we can see, the curves overlap. The most interesting conclusion from these results is that the particular random distribution that controls the duration and the errors of the checkpoints does not seem to make any significant difference, at least for the same averages.

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