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Premchaiswadi et al., 2013 - Google Patents

Optimizing and tuning MapReduce jobs to improve the large‐scale data analysis process

Premchaiswadi et al., 2013

Document ID
2873128596681013083
Author
Premchaiswadi W
Romsaiyud W
Publication year
Publication venue
International Journal of Intelligent Systems

External Links

Snippet

Data‐intensive applications process large volumes of data using a parallel processing method. MapReduce is a programming model designed for data‐intensive applications for massive data sets and an execution framework for large‐scale data processing on clusters …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

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    • G06FELECTRICAL DIGITAL DATA PROCESSING
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    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • GPHYSICS
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    • G06FELECTRICAL DIGITAL DATA PROCESSING
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    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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    • G06F9/48Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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    • G06F17/30312Storage and indexing structures; Management thereof
    • G06F17/30321Indexing structures
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    • G06F9/00Arrangements for programme control, e.g. control unit
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    • GPHYSICS
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    • G06F17/30289Database design, administration or maintenance
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