A Comprehensive Review of Straggler Handling Algorithms for MapReduce Framework

Distributed computing accomplished broad appropriation because of consequently parallelizing and transparently executing tasks in distributed environments. Straggling tasks is an essential test confronted by all Big Data Processing Frameworks for example MapReduce, Dryad, and Spark. Stragglers are the assignments that run much slower than different tasks and since a job completes just when it’s last undertaking completions, stragglers postponement work fruition. Stragglers extraordinarily impact little occupations such that employments comprising of a couple of undertakings. Such occupations are fundamentally deferred regardless of the fact that a solitary undertaking is moderate .This paper survey stragglers recognition and rescheduling systems proposed so far and brings up their strengths and shortcomings. This paper additionally displays wise attributes and impediments of the existing stateof-thecraftsmanship calculations to take care of the issue of stragglers relief.