MidHDC: Advanced topics on middleware services for heterogeneous distributed computing. Part 2 |
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| Affiliation: | 1. State Key Laboratory of Networking and Switching Technology, BUPT, Beijing, PR China;2. Purple Mountain Laboratory, Nanjing, PR China;3. Institute of Sensing Technology and Business, BUPT, Wuxi, PR China;4. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada;1. school of Arts and Sciences, Shanghai Dian Ji University, Shanghai 201306, China;2. School of Art and Design, Shanghai Dian Ji University, Shanghai 201306, China;3. School of Biomedical Engineering, Shanghai Jiao Tong University, shanghai 200240, China;4. College of Information Engineering, Huanghuai University, Henan 463000, China |
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| Abstract: | Currently distributes systems support different computing paradigms like Cluster Computing, Grid Computing, Peer-to-Peer Computing, and Cloud Computing all involving elements of heterogeneity. These computing distributed systems are often characterized by a variety of resources that may or may not be coupled with specific platforms or environments. All these topics challenge today researchers, due to the strong dynamic behavior of the user communities and of resource collections they use.The second part of this special issue presents advances in allocation algorithms, service selection, VM consolidation and mobility policies, scheduling multiple virtual environments and scientific workflows, optimization in scheduling process, energy-aware scheduling models, failure Recovery in shared Big Data processing systems, distributed transaction processing middleware, data storage, trust evaluation, information diffusion, mobile systems, integration of robots in Cloud systems. |
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| Keywords: | Middleware services Resource management Mobile computing Cloud computing HPC Heterogeneous distributed systems |
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