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Task scheduling for MapReduce in heterogeneous networks
https://link.springer.com/article/10.1007/s10586-015-0503-3
"Mapreduce and heterogeneity: power-aware bag-of …
https://orb.binghamton.edu/dissertation_and_theses/32/
Abstract. This dissertation presents the techniques for adaptation of MapReduce frameworks to incorporate heterogeneity-aware scheduling algorithms, an inspection of cluster configurations and how they impact these scheduling algorithms, an analysis regarding how the cluster configuration and the heterogeneity-aware scheduling can work together to minimize …
Analysis of hadoop MapReduce scheduling in …
https://www.sciencedirect.com/science/article/pii/S2090447920301325
2.2. Issues in MapReduce scheduling. Locality- In Hadoop, all the storage is done at HDFS.When the client demands for MapReduce job then the Hadoop master node i.e. name node transfer the MR code to the slaves' node i.e. to data nodes on which the actual data related to the job exists , , , .. Due to huge data sets, the problem of cross-switch network traffic was …
A Dynamic MapReduce Scheduler for Heterogeneous …
https://www.researchgate.net/publication/224600723_A_Dynamic_MapReduce_Scheduler_for_Heterogeneous_Workloads
It also identifies slow nodes dynamically and creates backup tasks so that MapReduce jobs will have a better performance in a heterogeneous environment. Tian …
Improving MapReduce Performance in Heterogeneous …
http://bnrg.eecs.berkeley.edu/~randy/Courses/CS268.F08/lectures/22-hadoop_schedulingx2.pdf
Backup Task Scheduling in Hadoop • Scheduler starts all primary tasks, then looks for tasks to back up • Tasks report “progress score” from 0 to 1 • Backup launched if progress < avgProgress - 20% Problems in Heterogeneous Environment • Too many backups (trash shared resources) • Wrong tasks may be backed up
MapReduce Scheduler Using Classifiers for Heterogeneous …
http://paper.ijcsns.org/07_book/201104/20110409.pdf
4.1 Heterogeneous Workloads By including the concept of heterogeneous workloads [2] [3] [6], the project tries to improve the hardware utilization rate when different kinds of workloads run in the clusters of MapReduce framework. In practical, different kinds of jobs often simultaneously run in the same cluster.
Scheduling in Mapreduce Clusters
https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1167&context=computerscidiss
1) a match-making scheduling algorithm for improving the data locality of Map-Reduce applications, 2) a real-time scheduling algorithm for heterogeneous Map-Reduce clusters, and 3) an energy-efficient scheduler for hybrid CPU-GPU Map-Reduce cluster.
Tarazu: Optimizing MapReduce On Heterogeneous …
https://engineering.purdue.edu/~puma/tarazu.pdf
Keywords: Heterogeneous clusters, MapReduce, Shuffle, Load imbalance, Cluster Scheduling. 1 Introduction Data centers are the compute platforms of choice for the emerging era of cloud computing. Data center-scale clusters are evolving toward heterogeneous hardware — a mix of high-performance and low-power nodes of disparate hardware ...
Improving MapReduce Performance in Heterogeneous …
http://grids.ucs.indiana.edu/ptliupages/publications/MapReduce_ResourceUtilization_Heterogeneous_CCGrid12PhDSymposium_submitted.pdf
Keywords- heterogeneity, MapReduce, Hadoop, resource utilization, scheduling I. INTRODUCTION To support data-intensive applications, several frameworks, such as Google File System (GFS) /MapReduce [1, 2], Hadoop [3] and Cosmos/Dryad [4] have been proposed. Their native support of data locality aware scheduling dramatically reduces data movement.
Improving MapReduce Performance in Heterogeneous …
https://courses.engr.illinois.edu/cs525/sp2010/Cloud_Scheduling.pdf
Cloud Scheduling Improving MapReduce Performance in Heterogeneous Environments, M. Zaharia et al, OSDI 2008 Quincy: Fair Scheduling for Distributed Computing Clusters, M. Isard et al, SOSP 2009 CA-NFS: A Congestion- Aware Network File System, A. Batsakis et al, FAST 2009 Ghazale Hosseinabadi Wucherl Yoo
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