Optimized Speculative Execution to Improve Performance of ... He, “DynamicMR: a dynamic slot allocation optimization framework for mapreduce clusters,” IEEE Transactions on Cloud Computing, vol. 2, no. 3, pp. 333–347, 2014. View at Publisher · View at Google Scholar · View at Scopus 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 {stang5, ebslee, bshe}@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 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.
MROrchestrator: A Fine-Grained Resource Orchestration ...
DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters Shanjiang Tang, Bu-Sung Lee, Bingsheng He Abstract—MapReduce is a popular computing paradigm for large-scale data processing in cloud computing. However, the slot-based DynMR: A Dynamic Slot Allocation Framework for MapReduce based model we set forth an option strategy called Dynamic Hadoop Slot Allocation. It unwinds the slot allocation parameters to permit slots to be reallocated to map or reduce task assignments relying upon their needs. Second the speculative execution can handle the straggler issue which sufficiently fit to enhance the execution for a job hadoop - Map Reduce Slot Definition - Stack Overflow
We present a novel approach for optimizing the resource allocation at the container level in MapReduce systems.Whereas Dynamic AdaptCont calculates the exact amount of resources per each container, Pool AdaptCont chooses a predefined container from a pool of available configurations.
Implementation of Improving MapReduce Performance Using
Slot Utilization and Performance Improvement in Hadoop
While highly successful, Map-Reduce clusters come with their own set of ... ity (e.g., disk failures) and dynamic aspects such as con- tention for ... ing techniques: (i) Restarting outlier tasks cognizant of resource .... Regardless, pre-allocation of slots hogs resources for longer periods if the input task(s) straggle. Extract 22K. Dynamic Processing Slots Scheduling for I/O Intensive Jobs of ... In general, Hadoop cluster consists of a large number of computers, so tasks ... In this paper, we propose dynamic processing slots schedul- ing for I/O intensive ...
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Dynamic slot allocation technique for MapReduce clusters - IEEE Xplore Dynamic slot allocation technique for MapReduce clusters. Abstract: MapReduce is a popular parallel computing paradigm for large-scale data processing in ... DynamicMR: A Dynamic Slot Allocation Optimization Framework for ... Jun 5, 2014 ... MapReduce is a popular computing paradigm for large-scale data ... Dynamic Slot Allocation Optimization Framework for MapReduce Clusters ... We propose an alternative technique called Dynamic Hadoop SlotAllocation by ... Dynamic slot allocation technique for MapReduce clusters - Semantic ... MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and data centers. However, the slot utilization can be low, ...
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 ... Deadline and dynamic slot allocation for mapreduce clusters Title: Deadline and dynamic slot allocation for mapreduce clusters ... slot allocation technique is used that allocates and deal locates the map and reduce slots ... On Dynamic Job Ordering and Slot Configurations for ... - arXiv 15 Apr 2016 ... and provide a few key features of our proposed method. ... the same MapReduce cluster increased, there are Capacity ... tasks as a tunable knob for dynamically allocating slots. However, as pointed out in [1], the existing. Survey on Improved Scheduling in Hadoop MapReduce in ... - arXiv cloud can automatically be scaled up to meet the dynamic demands of users by its ... with high throughput access to data on clusters and 2) Hadoop. MapReduce : a .... As jobs have their tasks allocated to Task Tracker slots for computation, the ..... scheduling: a simple technique for achieving locality and fairness in cluster ...