Multi objective dynamic task scheduling optimization algorithm based on deep reinforcement learning

Edge Computing: Vision and Challenges

Weisong Shi, Jie Cao, Quan Zhang et al. · IEEE Internet of Things Journal · 2016 · 7.9K citations

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Deep Reinforcement Learning: A Brief Survey

Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage et al. · IEEE Signal Processing Magazine · 2017 · 4.3K citations

Computing, Autonomous Systems, Computer Science +17

Performance-effective and low-complexity task scheduling for heterogeneous computing

Haluk Rahmi Topcuoglu, Salim Hariri, Min‐You Wu · IEEE Transactions on Parallel and Distributed Systems · 2002 · 3.4K citations · Full text

Computing, Computer Engineering, Computer Science +14

Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing

Xu Chen, Lei Jiao, Wenzhong Li et al. · IEEE/ACM Transactions on Networking · 2015 · 2.6K citations

Computing, Cloud Computing, Computer Systems +16

Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers

Anton Beloglazov, Rajkumar Buyya · Concurrency and Computation Practice and Experience · 2011 · 1.8K citations

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