Guidelines for Scheduling Some Common Computation-Dags for Internet-Based Computing.
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| Title: | Guidelines for Scheduling Some Common Computation-Dags for Internet-Based Computing. |
|---|---|
| Authors: | Rosenberg, Arnold L.1 rsnbrg@cs.umass.edu., Yurkewych, Matthew1 yurkl@cs.umass.edu. |
| Source: | IEEE Transactions on Computers. Apr2005, Vol. 54 Issue 4, p428-438. 11p. |
| Subject Terms: | *INTERNET, *BROADBAND communication systems, *COMPUTATIONAL complexity, *INTEGRATED circuits, *INFORMATION technology |
| Company/Entity: | COMPUTATIONAL Biology Corp. |
| Abstract: | A "pebble game" is developed to model the process of scheduling computation-dags for Internet-based computing (IC, for short). Strategies are derived for scheduling three common, significant families of such dags for IC: reduction-meshes, which represent (the intertask dependencies of) computations that can be performed by "up-sweeps" of meshes; reduction-trees, which represent "accumulative" computations that can be performed by "up-sweeps" of trees; and FFT(Fast Fourier Transform) dags, which represent a large variety of convolutional computations. Two criteria are used to assess the quality of a schedule: its memory requirements and its rate of producing tasks that are eligible for allocation to remote clients. These criteria are important because of, respectively, the typically enormous sizes of IC computations and the typical temporal unpredictability of remote clients in IC. In particular, a high production rate of eligible tasks decreases a computation's vulnerability to the gridlock that can occur when a computation stalls pending the return of intermediate results by remote clients. Under idealized assumptions, the schedules derived are optimal in the rate of producing eligible tasks and are either exactly or approximately optimal in memory requirements. [ABSTRACT FROM AUTHOR] |
| Database: | Academic Search Index |
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| Header | DbId: asx DbLabel: Academic Search Index An: 16484398 RelevancyScore: 1202 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1202.33801269531 |
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| Items | – Name: Title Label: Title Group: Ti Data: Guidelines for Scheduling Some Common Computation-Dags for Internet-Based Computing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rosenberg%2C+Arnold+L%2E%22">Rosenberg, Arnold L.</searchLink><relatesTo>1</relatesTo><i> rsnbrg@cs.umass.edu.</i><br /><searchLink fieldCode="AR" term="%22Yurkewych%2C+Matthew%22">Yurkewych, Matthew</searchLink><relatesTo>1</relatesTo><i> yurkl@cs.umass.edu.</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Computers%22">IEEE Transactions on Computers</searchLink>. Apr2005, Vol. 54 Issue 4, p428-438. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22INTERNET%22">INTERNET</searchLink><br />*<searchLink fieldCode="DE" term="%22BROADBAND+communication+systems%22">BROADBAND communication systems</searchLink><br />*<searchLink fieldCode="DE" term="%22COMPUTATIONAL+complexity%22">COMPUTATIONAL complexity</searchLink><br />*<searchLink fieldCode="DE" term="%22INTEGRATED+circuits%22">INTEGRATED circuits</searchLink><br />*<searchLink fieldCode="DE" term="%22INFORMATION+technology%22">INFORMATION technology</searchLink> – Name: SubjectCompany Label: Company/Entity Group: Su Data: <searchLink fieldCode="DE" term="%22COMPUTATIONAL+Biology+Corp%2E%22">COMPUTATIONAL Biology Corp.</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A "pebble game" is developed to model the process of scheduling computation-dags for Internet-based computing (IC, for short). Strategies are derived for scheduling three common, significant families of such dags for IC: reduction-meshes, which represent (the intertask dependencies of) computations that can be performed by "up-sweeps" of meshes; reduction-trees, which represent "accumulative" computations that can be performed by "up-sweeps" of trees; and FFT(Fast Fourier Transform) dags, which represent a large variety of convolutional computations. Two criteria are used to assess the quality of a schedule: its memory requirements and its rate of producing tasks that are eligible for allocation to remote clients. These criteria are important because of, respectively, the typically enormous sizes of IC computations and the typical temporal unpredictability of remote clients in IC. In particular, a high production rate of eligible tasks decreases a computation's vulnerability to the gridlock that can occur when a computation stalls pending the return of intermediate results by remote clients. Under idealized assumptions, the schedules derived are optimal in the rate of producing eligible tasks and are either exactly or approximately optimal in memory requirements. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TC.2005.65 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 428 Subjects: – SubjectFull: COMPUTATIONAL Biology Corp. Type: general – SubjectFull: INTERNET Type: general – SubjectFull: BROADBAND communication systems Type: general – SubjectFull: COMPUTATIONAL complexity Type: general – SubjectFull: INTEGRATED circuits Type: general – SubjectFull: INFORMATION technology Type: general Titles: – TitleFull: Guidelines for Scheduling Some Common Computation-Dags for Internet-Based Computing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rosenberg, Arnold L. – PersonEntity: Name: NameFull: Yurkewych, Matthew IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 00189340 Numbering: – Type: volume Value: 54 – Type: issue Value: 4 Titles: – TitleFull: IEEE Transactions on Computers Type: main |
| ResultId | 1 |
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