Dynamic slot allocation technique for mapreduce clusters

We present the Dynamic Priority (DP) parallel task scheduler for Hadoop. ... their jobs when demand is high, since the cost of running on a slot is then also more expensive. ... Ousterhout, J.K.: Scheduling techniques for concurrent systems. ... A price-anticipating resource allocation mechanism for distributed shared clusters.

On the other hand we propose a method called Slot Pre Scheduling that can ... an orderly slot allocation framework called DynMR (Dynamic Map Reduce) which ... Dynamic Slot Allocation Technique for MapReduce Clusters School of ... 4 Hadoop Execution Model Hadoop is an open-source implementation of MapReduce Model. The cluster computation resources are divided into map slots and ... A Dynamic Slot Allocation Optimization Framework for MapReduce ... We propose an alternative technique called Dynamic Hadoop Slot Allocation by keeping the slot-based ... improve the performance of a MapReduce cluster via. Healthcare Data Analysis using Dynamic Slot Allocation in Hadoop technique called Dynamic Hadoop Slot Allocation by keeping the slot-based ... large-scale data processing in clusters and data centers, and it has become very ...

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Bingsheng He @ NUS SoC - NUS Computing gScale: Scaling up GPU Virtualization with Dynamic Sharing of Graphics Memory Space. ..... Dynamic Slot Allocation Technique for MapReduce Clusters. Reining in the Outliers in Map-Reduce Clusters using Mantri - Microsoft Experience from an operational map-reduce cluster reveals that outliers ... aspects such hardware reliability (e.g., disk failures) and dynamic aspects .... Regardless, pre-allocation of slots can hog more resources for longer ..... In either method, Mantri restarts only when the probability of success, i.e., P(tnew < trem) is high.

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Dynamic Slot Allocation Technique for MapReduce Clusters Dynamic Slot Allocation Technique for MapReduce Clusters Shanjiang Tang, Bu-Sung Lee, Bingsheng He School of Computer Science&Technology Nanyang Technological University fstang5, ebslee, bsheg@ntu.edu.sg Abstract—MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and data centers. Dynamic slot allocation technique for MapReduce clusters ... MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and data centers. However, the slot utilization can be low, especially when Hadoop Fair Scheduler is ... DynamicMR: A Dynamic Slot Allocation Optimization ...