An Efficient Dynamic Slot Allocation Based On Fairness ... An Efficient Dynamic Slot Allocation Based On Fairness Consideration for MAPREDUCE Clusters T. P. Simi Smirthiga [1], ... become the fundamental technique for cloud computing. ... the number of map/reduce tasks. Our dynamic slot . DREAMS: Dynamic Resource Allocation for MapReduce with ... DREAMS: Dynamic Resource Allocation for MapReduce with Data Skew Zhihong Liu , Qi Zhangz, Mohamed Faten Zhani z, Raouf Boutaba Yaping Liuyand Zhenghu Gong College of Computer, National University ...
A Survey on Job Scheduling in Big Data - De Gruyter
DYNAMIC MR: A DYNAMIC SLOT ALLOCATION OPTIMIZATION FRAMEWORK FOR MAPREDUCE CLUSTERS Prof. Balaji Bodkhe1 , Abhijeet Ahire2, Mayur Chaudhari3, Tushar Fulsoundar4, Akshay Kadam5 1, 2,3,4,5 Department of Computer Engineering,Mes College of Engineering,Pune,India Supplemental Material: DynamicMR: A Dynamic Slot Allocation ... cost of fairness. Alternatively, we propose a technique called Slot PreScheduling that can improve the data locality but with no impact on fairness. Finally, by combining these techniques together, we form a step-by-step slot allocation system called DynamicMR that Multi-Tier Resource Allocation for Data-Intensive Computing ... To account for heterogeneity, we propose a dynamic resource allocation method that adjusts resource allocations to individual tasks on a cluster node based on resource utilisation levels. We demonstrate the efficacy of this technique in a data-intensive [IJCST-V6I2P10]:Anjali Nema, Deepak Gour - academia.edu [2] S.hanjiang Tang, Bu-Sung Lee, Bingsheng He, “DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters”, IEEE Transactions, 2013 [3] Divyakant Agrawal, UC Santa Barbara, Philip Bernstein, Microsoft Elisa Bertino, Purdue Univ. ” Big
Deadline and dynamic slot allocation 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 ... Abstract: 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 used, due to the pre-allocation of slots among map and reduce tasks, and the order that map tasks followed by reduce tasks in a typical MapReduce environment. DynamicMR: A Dynamic Slot Allocation Optimization ...
Survey on Resource Allocation Mechanisms for MapReduce …
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[IJCST-V6I2P10]:Anjali Nema, Deepak Gour - academia.edu
A Dynamic Slot Allocation Framework for MapReduce Clusters in ...
Dynamic Split Model of Resource Utilization in MapReduce time point the number of slot is not the same and can be modified according to system load. 4. DYNAMIC RESOURCE ALLOCATION 4.1 Reduce Slot Hoarding Problem MapReduce normally launches reduce tasks for a job as soon as its first few maps … Feedback-Based Resource Allocation in MapReduce - Hindawi To receive news and publication updates for Scientific Programming, enter your email address in the box below. He, “DynamicMR: a dynamic slot allocation optimization framework for mapreduce clusters,” IEEE Transactions on Cloud Computing, vol. 2, no. 3, pp. 333–347, 2014.