Data-aware task scheduling for all-to-all comparison problems in heterogeneous distributed systems
نویسندگان
چکیده
منابع مشابه
Application of Simulated Annealing to Data Distribution for All-to-All Comparison Problems in Homogeneous Systems
Distributed systems are widely used for solving large-scale and data-intensive computing problems, including all-to-all comparison (ATAC) problems. However, when used for ATAC problems, existing computational frameworks such as Hadoop focus on load balancing for allocating comparison tasks, without careful consideration of data distribution and storage usage. While Hadoop-based solutions provid...
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ژورنال
عنوان ژورنال: Journal of Parallel and Distributed Computing
سال: 2016
ISSN: 0743-7315
DOI: 10.1016/j.jpdc.2016.04.008