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ORCIDJournal of Parallel and Distributed Computing, Volume 168
Volume 168, October 2022
- Pronaya Bhattacharya
, Farnazbanu Patel, Sudeep Tanwar, Neeraj Kumar, Ravi Sharma:
MB-MaaS: Mobile Blockchain-based Mining-as-a-Service for IIoT environments. 1-16
- Vasilios I. Kelefouras, Karim Djemame:
Workflow simulation and multi-threading aware task scheduling for heterogeneous computing. 17-32
- Weiwei Lin, Kun Yao, Lan Zeng, Fagui Liu, Chun Shan, Xiaobin Hong:
A GAN-based method for time-dependent cloud workload generation. 33-44
- Chen-Chun Chen, Kai-Siang Wang, Yu-Tung Hsiao, Jerry Chou:
ALBERT: An automatic learning based execution and resource management system for optimizing Hadoop workload in clouds. 45-56 - Guoqing Wu, Liqiang Cao, Hongyun Tian, Wei Wang:
HY-DBSCAN: A hybrid parallel DBSCAN clustering algorithm scalable on distributed-memory computers. 57-69
- Heyuan Shi, Guyu Wang, Ying Fu, Chao Hu, Houbing Song, Jian Dong, Kun Tang, Kai Liang:
Abaci-finder: Linux kernel crash classification through stack trace similarity learning. 70-79
- Bowen Liu, Xutong Jiang, Xin He, Lianyong Qi, Xiaolong Xu, Xiaokang Wang, Wanchun Dou:
A deep learning-based edge caching optimization method for cost-driven planning process over IIoT. 80-89
- Reena Panwar, M. Supriya:
Dynamic resource provisioning for service-based cloud applications: A Bayesian learning approach. 90-107
- Hao Dai, Jiashu Wu, Yang Wang, Chengzhong Xu:
Towards scalable and efficient Deep-RL in edge computing: A game-based partition approach. 108-119
- Binbin Huang, Xiao Liu, Yuanyuan Xiang, Dongjin Yu, Shuiguang Deng, Shangguang Wang:
Reinforcement learning for cost-effective IoT service caching at the edge. 120-136
- Jorge G. Barbosa, Lúcia M. A. Drummond, Laurent Lefèvre:
Special Issue on Computer Architecture and High-Performance Computing. 137-138
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