Sentence examples for applications scheduling from inspiring English sources

Exact(3)

An important research problem in these environments is how to assign resources to applications (matching) and order the execution of the applications (scheduling) so as to maximize some performance criterion without violating any constraints.

To deal with BoT applications, scheduling and resource discovery algorithms are designed with the least complexity possible.

In the third stage, the dynamic optimizer actuator uses the outputs of the second stage to perform actions such as device management and applications scheduling in order to reduce the energy consumption.

Similar(57)

Given a multiprocessor system for executing a set of safety-critical applications scheduled using a semi-partitioned scheme, it is necessary to ensure proper functioning of the system even in the presence of processor failures.

There's eight ajax applications scheduled to be in the initial release.

Unlike the conventional grid schedulers, CRB addresses several cases of failure of application scheduling such as nonavailability of enough computing nodes in a cluster, and, nonavailability of software execution environment in any of the grid resources.

Also, to prove the superiority of our queue based algorithm, it is compared with a dynamic application scheduling algorithm, HACAS, which has not considered queue in cloudlets.

Experimental results show that the ReSHAPE framework can significantly improve individual job turn-around time and overall system throughput, even with very simple application scheduling policies.

We then solve the application scheduling problem to determine the optimum core types from a list of technological alternatives and to minimize the makespan.

Despite success in one Phase IIb trial of a vaginal gel delivering tenofovir, problems of user adherence to designed gel application scheduling have compromised results in two other trials.

This paper describes a distributed software architecture and middleware implementation that combines object-based blackboard-style communications with data-driven and periodic application scheduling to greatly simplify distributed programming while achieving scalable performance.

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