In this paper, we propose a profit-maximum model that minimizes the cost of energy consumption and makespan. By adopting a minimum-weight b-matching rounding ...
Resource allocation for Mapreduce data processing poses difficult challenges to system administrators in data centers. The extreme scale of Mapreduce ...
Chapter. A Profit-Maximum Resource Allocation Approach for Mapreduce in Data Centers. Green, Pervasive, and Cloud Computing, 2017, Volume 10232.
Oct 22, 2024 · This paper presents a new MapReduce cloud service model, Cura, for provisioning cost-effective MapReduce services in a cloud.
Running multiple instances of the MapReduce framework concurrently in a multicluster system or datacenter enables data, failure, and version isolation, which is ...
The paper presents a novel approach and algorithm with mathematical formula for obtaining the exact optimal number of task resources for any workload ...
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A Profit-Maximum Resource Allocation Approach for Mapreduce in Data Centers · Computer Science. Grid and Pervasive Computing · 2017.
In this paper, we consider task-level scheduling algorithms with respect to budget constraints for a bag of MapReduce jobs on a set of provisioned ...
Sep 20, 2012 · ABSTRACT. Distributed data processing framework MapReduce is increasingly deployed in Clouds to leverage the pay-per-usage cloud computing.
ABSTRACT. We present Purlieus, a MapReduce resource allocation system aimed at enhancing the performance of MapReduce jobs in the cloud.