A brief review of scheduling algorithms of Map Reduce model using Hadoop

Tyagi, Adhishtha; Sharma, Sonia

doi:10.14445/22315381/ijett-v45p209

Cited by 2 publications

(2 citation statements)

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“…The objectives of scheduling are to minimize the completion time, maximize throughput, minimize overhead, and balance available resources of parallel applications in progress by properly allocating the jobs to the processors. Schedulers in Hadoop are: [10] i. FIFO Scheduler This is a default scheduler which operates using a FIFO queue. A job is first partitioned into individual tasks, and then they are loaded into the queues and assigned free slots on TaskTracker nodes.…”

Section: Description Of Schedulersmentioning

confidence: 99%

“…Adhishtha Tyagi et al [2017] MapReduce framework, MapReduce model, scheduling in hadoop, various scheduling algorithms and various optimization techniques in job scheduling have been focused upon. Scheduling algorithms of MapReduce model using hadoop vary with design and behaviour, and are used for handling many issues like data locality, awareness with resource, energy and time [10].…”

Section: Liu Et Al [2012]mentioning

confidence: 99%

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A Framework of Security and Performance Enhancement for Hadoop

Tyagi

Sharma

2017

IJARCSSE

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Abstract-Hadoop framework has been emerged as the most effective and widely adopted framework for Big Data processing. Map Reduce programming model is used for processing as well as generating large data sets. Data security has become an important issue as far as storage is concerned. By default theres no security mechanism in hadoop and it is the first choice of the business analyst and industrialists to store and manage data as well as theres a need to introduce security solutions to Hadoop in order to secure the important data in the Hadoop environment. We implemented and evaluated Dynamic Task Splitting Scheduler (DTSS) which explores the tradeoffs between fairness and data performance by splitting the tasks dynamically before processing in hadoop along with AES-MR (an Advanced Encryption Standard based encryption using mapreduce) encryption in MapReduce paradigm. This paper would be useful for beginners and researchers for understanding DTSS scheduling along with security.

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Section: Description Of Schedulersmentioning

confidence: 99%

Section: Liu Et Al [2012]mentioning

confidence: 99%