By Siau K.
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Max. 4 sec. 0 sec. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. TEAM LinG Dynamic Workflow Restructuring Framework for Long-Running Processes 31 in parallel (see detailed justification in the Experimental Results section). 2 second as the input for the exponential statistic function. We assess the effectiveness of workflow restructuring by comparing the execution of TELECONNECT workflow with and without restructuring of its composite activities B: ALLOCATECIRCUIT and C: ALLOCATELINES.
The second type corresponds to disturbances caused by network delays. In this case, we adopt different elapsed time increasing to each controlled activity because the network connection speeds are rather different (10Mbits/sec among Telecomm-HQ and T-centrals and 1Mbits/sec between Telecomm-HQ and CreditCheck-GW). However, the network speeds adopted depict just typical transfer rates found in the real world. Different network speeds could be assumed to perform the simulation experiments. For the controlled activity A6, we assume a slight delay of 10% caused by network speed falling to 1Mbits/sec and an average delay of 40% by 256kbits/sec network speed.
9 seconds for the average WI elapsed time. 6 seconds. 7 seconds to the average WI elapsed time. 78 growth factor. This result shows the overload caused by disturbances into the computing environment. This dashed line is present also in Figure 20 with exactly the same results and meaning. It is the reference to compare results from different restructuring criteria. The continuous line in Figure 18 plots average WI elapsed times with B restructuring at the start. In this simulation, all 165 WI are restructured before the start of their A2 instances.
Advanced Topics In Database Research by Siau K.