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In this paper, we propose to predict the workloads of the service components within the composite workflow based on the communication of the queue condition of service nodes. With this information, we actively discard the requests that has high probability to be dropped in the later stages of the workflow. The benefit of our approach is the efficient saving of limited system resource as well as the...
In this paper, we investigate selection strategies for rescue servers in a fully collaborative in which heterogeneous systems share spare resource to address hotspot problems experienced by individual members. Different from content replication, delays due to application replication and startup time of the resulting rescue servers will be taken into consideration. Details about our replication strategy,...
We study an online version of the classical parallel scheduling problem to minimize the total weighted completion time in a total decentralized setting: both the jobs and the machines are selfish entities who try to maximize their own interest. We study the setting from an algorithmic mechanism design and present a polynomial time decentralized scheduling mechanism that induces the rational jobs and...
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