Energy- and locality-efficient multi-job scheduling based on MapReduce for heterogeneous datacenter
Sign Up to like & getrecommendations! Published in 2019 at "Service Oriented Computing and Applications"
DOI: 10.1007/s11761-019-00273-x
Abstract: Job scheduling of MapReduce is a research hot spot, especially on the heterogeneous datacenter. Huge energy consumption and operating costs are key challenges. Most of the previous work only considers the scheduling optimization of a… read more here.
Keywords: multi job; heterogeneous datacenter; energy; job ... See more keywords
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3224941
Abstract: Recent years have witnessed a large amount of decentralized data in various (edge) devices of end-users, while the decentralized data aggregation remains complicated for machine learning jobs because of regulations and laws. As a practical… read more here.
Keywords: training process; multi job; multiple jobs; job ... See more keywords