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Collaborative learning based straggler prevention in large‐scale distributed computing framework
Modern big data applications tend to prefer a cluster computing approach as they are linked
to the distributed computing framework that serves users jobs as per demand. It performs …
to the distributed computing framework that serves users jobs as per demand. It performs …
STDADS: an efficient slow task detection algorithm for deadline schedulers
The MapReduce programming model was designed and developed for Google File System
to efficiently process large-scale distributed data sets. The open source implementation of …
to efficiently process large-scale distributed data sets. The open source implementation of …
An efficient speculative task detection algorithm for mapreduce schedulers
Background: The MapReduce programming model was developed and designed for Google
File System to efficiently process large distributed datasets. The open source …
File System to efficiently process large distributed datasets. The open source …
[PDF][PDF] Research Article Collaborative Learning Based Straggler Prevention in Large-Scale Distributed Computing Framework
Modern big data applications tend to prefer a cluster computing approach as they are linked
to the distributed computing framework that serves users jobs as per demand. It performs …
to the distributed computing framework that serves users jobs as per demand. It performs …