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Today's data center jobs typically follow a coflow model. Each coflow consists of multiple concurrent data flows, while each job is comprised of multiple coflows. Only completing all flows in all coflows is meaningful to a job. To guarantee the job completion time, job deadlines and coflow dependencies must be jointly considered. However, existing solutions mainly consider the coflow scheduling, which...
This paper proposes a task scheduling algorithm for multi/many-core systems. To increase the quality of results on the low computational complexity, our algorithm uses two static priorities which are switched during task scheduling. In our experiments, we compared the proposed algorithm with a state-of-the-art algorithm. The experimental results show that the proposed algorithm yields the better schedule...
Smart home becomes an emerging research topic these years. It offers various advantages such as facilitating the control of home appliances and the reduction of electricity bill. In this paper, a dynamic programming based game theoretic algorithm is proposed for multiple user smart home scheduling which can handle home appliances with multiple discrete power levels. The simulation results on test...
This paper studies task scheduling algorithms which schedule a set of tasks on multiple cores so that the total scheduling length is minimized. Most of the algorithms developed in the past assume that a task is executed on a single core. Unlike the previous algorithms, the algorithms studied in this paper allow a task to be executed on multiple cores. This paper proposes six algorithms. All of the...
Wireless communications over water may suffer from serious multipath fading due to strong specular reflections from conducting water surfaces. Cognitive radios enable dynamic spectrum access over a large frequency range, which can be used to mitigate this problem. In this paper, we study how to leverage cognitive radios for effective communications in wireless networks over water. We formally define...
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