Neighborhood search-based job scheduling for IoT big data real-time processing in distributed edge-cloud computing environment

Cloud-edge collaboration architecture, which combines edge processing and centralized cloud processing, is suitable for placement and caching of streaming media. A cache-aware scheduling model based on neighborhood search is proposed. The model is divided into four sub-problems: job classification,...

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Veröffentlicht in:	The Journal of supercomputing Jg. 77; H. 2; S. 1853 - 1878
Hauptverfasser:	Li, Chunlin, Zhang, YiHan, Luo, Youlong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2021 Springer Nature B.V
Schlagworte:	Algorithms Caching Cloud computing Clustering Compilers Computer Science Data centers Interpreters Job classification Neighborhoods Nodes Placement Processor Architectures Programming Languages Resource allocation Scheduling Searching Streaming media Neighborhood search Distributed edge-cloud Job scheduling
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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