Reliable MapReduce computing on opportunistic resources (original) (raw)

Cuckoo: Opportunistic MapReduce on Ephemeral and Heterogeneous Cloud Resources

Jalil Boukhobza

2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 2019

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JUMMP: Job Uninterrupted Maneuverable MapReduce Platform

William Clay Moody, Linh Ngo

2013 IEEE International Conference on Cluster Computing (CLUSTER), 2013

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RAFT at work: speeding-up mapreduce applications under task and node failures

Jorge-Arnulfo Quiané-Ruiz

2011

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Medusa: An Efficient Cloud Fault-Tolerant MapReduce

Miguel Correia

2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2016

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ADAPT: Availability-Aware MapReduce Data Placement for Non-dedicated Distributed Computing

Ioan Raicu

2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

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Chronos: Failure-aware scheduling in shared Hadoop clusters

tran anh phuong

2015 IEEE International Conference on Big Data (Big Data), 2015

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Adapting MapReduce for dynamic environments using a peer-to-peer model

Fabrizio Marozzo

1st Workshop on Cloud Computing and its …, 2008

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Improving Resource Utilization in MapReduce

Yang Ruan

2012 IEEE International Conference on Cluster Computing, 2012

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HOG: Distributed Hadoop MapReduce on the Grid

Srikanth Thanneeru

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Maestro: Replica-Aware Map Scheduling for MapReduce

A. Gabriel

2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), 2012

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MapReduce online

Peter Alvaro

Proceedings of the …, 2010

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A Framework for Managing MapReduce Applications in Dynamic Distributed Environments

Fabrizio Marozzo

2011 19th International Euromicro …, 2011

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Resilin: Elastic MapReduce over Multiple Clouds

Christine Morin

2012

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MapReduce: an infrastructure review and research insights

Neda Maleki

The Journal of Supercomputing, 2019

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Optimizing intermediate data management in MapReduce computations

A. Gabriel

Proceedings of the First International Workshop on Cloud Computing Platforms, 2011

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Exploring MapReduce efficiency with highly-distributed data

Jon Weissman

Proceedings of the second international workshop on MapReduce and its applications - MapReduce '11, 2011

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Evaluating map reduce tasks scheduling algorithms over cloud computing infrastructure

Qutaibah Althebyan, Mahmoud Al-Ayyoub

Concurrency and Computation: Practice and Experience, 2015

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Overcoming Hadoop Scaling Limitations through Distributed Task Execution

Ioan Raicu

2015 IEEE International Conference on Cluster Computing, 2015

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Shared execution of recurring workloads in MapReduce

Mohamed Eltabakh

Proceedings of the VLDB Endowment, 2015

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TMaR: a two-stage MapReduce scheduler for heterogeneous environments

Neda Maleki

Human-centric Computing and Information Sciences, 2020

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MAPREDUCE CHALLENGES ON PERVASIVE GRIDS

Olivier Flauzac

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Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment

Rathinaraja Jeyaraj

Concurrency and Computation: Practice and Experience (Wiley), 2019

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Scarlett: coping with skewed content popularity in mapreduce clusters

sameer agarwal

2011

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Natjam: Eviction Policies For Supporting Priorities and Deadlines in Mapreduce Clusters

Raihan Rahman

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Moon

Wu Feng

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing - HPDC '10, 2010

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BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications

Bogdan Nicolae

Parallel & Distributed …, 2010

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Towards Scalable Data Management for Map-Reduce-based Data-Intensive Applications on Cloud and Hybrid Infrastructures

Christian Perez

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bft-mapreduce-cloudsofclouds-discco2012.pdf

Pedro Sá da Costa, Miguel Correia

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P2P-MapReduce: Parallel data processing in dynamic cloud environments

Fabrizio Marozzo

Journal of Computer and System Sciences, 2011

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G-Hadoop: MapReduce across distributed data centers for data-intensive computing

Achim Streit

Future Generation Computer Systems, 2013

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Scalable Data Management for Map-Reduce-based Data-Intensive Applications: A View for Cloud and Hybrid Infrastructures

Bogdan Nicolae

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Fault Tolerance in MapReduce: A Survey

MARIA VALENTINA FLORES PEREZ

Computer Communications and Networks, 2016

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