GEODIS: towards the optimization of data locality-aware job scheduling in geo-distributed data centers

DOI10.1007/s00607-017-0564-7zbMath1386.68025OpenAlexW2738709311MaRDI QIDQ1639994

Jerry Chou, Ching-Hsien Hsu, Moïse W. Convolbo, Yeh-Ching Chung

Publication date: 13 June 2018

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-017-0564-7

zbMATH Keywords

schedulingdata localitybig data analysisdata centerbatch jobsgeo-distributed

Mathematics Subject Classification ID

Optimality conditions and duality in mathematical programming (90C46) Linear programming (90C05) Deterministic scheduling theory in operations research (90B35) Combinatorial optimization (90C27) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Distributed systems (68M14)

Uses Software

• MapReduce
• GLPK
• G-Hadoop
• Dryad
• Azure
• Apache Spark

Cites Work

• An SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids
• Cost-Aware Streaming Workflow Allocation on Geo-Distributed Data Centers
• Practical Scheduling of Bag-of-Tasks Applications on Grids with Dynamic Resilience
• Data Replication Approach with Consistency Guarantee for Data Grid
• Order Scheduling Models: Hardness and Algorithms
• Letter to the Editor—A Proof of the Optimality of the Shortest Remaining Processing Time Discipline

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