By Zoran Constantinescu
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Extra resources for Advances in Grid Computing
2006) which proposes service composition binding driven by application-speciﬁc QoS. The domain of Canfora et al. (2006) is different from the work in this chapter. This is because the authors are concerned with the composition of services that are initially deﬁned as an abstract workﬂow, where for each service in the workﬂow a set of service providers are deﬁned. Then the scheduler/binder makes a concrete workﬂow at which each service in the abstract workﬂow is bind to a service provider. Canfora et al.
The size is controlled by the problem length that the algorithms should solve. Three speciﬁc QoS attributes were deﬁned; Solver to problem adequacy, the parallel pattern used and the ﬁdelity or quality of output. These attributes are explained in details in Munawar et al. (2008). The same applies for computational tasks but with two different QoS attributes. Long timeouts were added in the solvers to test the latency tolerance with the solvers running in parallel mode. The other QoS A Framework for Problem-Specific QoS Based Scheduling in Grids 25 Fig.
2. g. 4000-6000) in fig. 5, 6 and 7. The difference for 3000 CPU cycle request is ignorable. g. 1000-2000) that Optimum method has less turnaround time than Grid-JQA. But two points should be noted: First the user has low request so the execution time is longer and if the user wants less execution time, it should require more capabilities. Second, in this simulation the threshold is one, but as explained before, the threshold can be changed dynamically in related to environment changes so Grid-JQA can be similar to Optimum method.