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We show that the problem of finding an energy minimal schedule for execution of a collection of jobs on a multiprocessor with job migration allowed has polynomial complexity. Each job is specified by a release time, a deadline, and an amount of work to be performed. All of the processors have the same, convex power-speed trade-off of the form P = phi(s), where P is power, s is speed, and phi is convex...
Handoff latency is a severe bottleneck impacting the service continuity for voice and multimedia applications in WLAN. IEEE 802.11k neighbor report defines the neighbor APs which are potential transition candidates for the roaming target. But the selection method for the roaming target AP is left undefined. Several schemes have been proposed for fast handoff with neighbor APpsilas information. However,...
Next-generation networks have the potential to service users without pre-existing contractual arrangements by using readily accessible pricing policies. The key issue is how to enable ad-hoc users to learn about the policies offered by a particular provider and to facilitate a negotiation between the provider and the potential user. Researchers working on the pricing of network services have offered...
In this work, we study the behaviour of different resource scheduling strategies when doing job orchestration in grid environments. We empirically demonstrate that scheduling strategies based on reinforcement learning are a good choice to improve the overall performance of grid applications and resource utilization.
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