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Ren et al., 2011 - Google Patents

Otus: resource attribution in data-intensive clusters

Ren et al., 2011

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Document ID
180950441840127615
Author
Ren K
López J
Gibson G
Publication year
Publication venue
Proceedings of the second international workshop on MapReduce and its applications

External Links

Snippet

Frameworks for large scale data-intensive applications, such as Hadoop and Dryad, have gained tremendous popularity. Understanding the resource requirements of these frameworks and the performance characteristics of distributed applications is inherently …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G06F11/3495—Performance evaluation by tracing or monitoring for systems
    • G—PHYSICS
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    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G06F11/3476—Data logging
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
    • G06F11/0721—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment within a central processing unit [CPU]
    • G—PHYSICS
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    • G06F11/0766—Error or fault reporting or storing
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    • G—PHYSICS
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    • G06F2201/86—Event-based monitoring
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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
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    • G06F17/30067—File systems; File servers
    • G06F17/30129—Details of further file system functionalities
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    • G—PHYSICS
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    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements

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