Cooperative Task-Oriented Computing : Algorithms and Complexity
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| Title: | Cooperative Task-Oriented Computing : Algorithms and Complexity |
|---|---|
| Description: | Cooperative network supercomputing is becoming increasingly popular for harnessing the power of the global Internet computing platform. A typical Internet supercomputer consists of a master computer or server and a large number of computers called workers, performing computation on behalf of the master. Despite the simplicity and benefits of a single master approach, as the scale of such computing environments grows, it becomes unrealistic to assume the existence of the infallible master that is able to coordinate the activities of multitudes of workers. Large-scale distributed systems are inherently dynamic and are subject to perturbations, such as failures of computers and network links, thus it is also necessary to consider fully distributed peer-to-peer solutions. We present a study of cooperative computing with the focus on modeling distributed computing settings, algorithmic techniques enabling one to combine efficiency and fault-tolerance in distributed systems, and the exposition of trade-offs between efficiency and fault-tolerance for robust cooperative computing. The focus of the exposition is on the abstract problem, called Do-All, and formulated in terms of a system of cooperating processors that together need to perform a collection of tasks in the presence of adversity. Our presentation deals with models, algorithmic techniques, and analysis. Our goal is to present the most interesting approaches to algorithm design and analysis leading to many fundamental results in cooperative distributed computing. The algorithms selected for inclusion are among the most efficient that additionally serve as good pedagogical examples. Each chapter concludes with exercises and bibliographic notes that include a wealth of references to related work and relevant advanced results. Table of Contents: Introduction / Distributed Cooperation and Adversity / Paradigms and Techniques / Shared-Memory Algorithms / Message-Passing Algorithms / The Do-All Problem in Other Settings / Bibliography / Authors'Biographies |
| Authors: | Chryssis Georgiou, Alexander Shvartsman |
| Resource Type: | eBook. |
| Subjects: | Coding theory, Information theory, Data structures (Computer science) |
| Categories: | COMPUTERS / Computer Science, COMPUTERS / Information Theory |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3299451 RelevancyScore: 962 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 962.24267578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Cooperative Task-Oriented Computing : Algorithms and Complexity – Name: Abstract Label: Description Group: Ab Data: Cooperative network supercomputing is becoming increasingly popular for harnessing the power of the global Internet computing platform. A typical Internet supercomputer consists of a master computer or server and a large number of computers called workers, performing computation on behalf of the master. Despite the simplicity and benefits of a single master approach, as the scale of such computing environments grows, it becomes unrealistic to assume the existence of the infallible master that is able to coordinate the activities of multitudes of workers. Large-scale distributed systems are inherently dynamic and are subject to perturbations, such as failures of computers and network links, thus it is also necessary to consider fully distributed peer-to-peer solutions. We present a study of cooperative computing with the focus on modeling distributed computing settings, algorithmic techniques enabling one to combine efficiency and fault-tolerance in distributed systems, and the exposition of trade-offs between efficiency and fault-tolerance for robust cooperative computing. The focus of the exposition is on the abstract problem, called Do-All, and formulated in terms of a system of cooperating processors that together need to perform a collection of tasks in the presence of adversity. Our presentation deals with models, algorithmic techniques, and analysis. Our goal is to present the most interesting approaches to algorithm design and analysis leading to many fundamental results in cooperative distributed computing. The algorithms selected for inclusion are among the most efficient that additionally serve as good pedagogical examples. Each chapter concludes with exercises and bibliographic notes that include a wealth of references to related work and relevant advanced results. Table of Contents: Introduction / Distributed Cooperation and Adversity / Paradigms and Techniques / Shared-Memory Algorithms / Message-Passing Algorithms / The Do-All Problem in Other Settings / Bibliography / Authors'Biographies – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chryssis+Georgiou%22">Chryssis Georgiou</searchLink><br /><searchLink fieldCode="AR" term="%22Alexander+Shvartsman%22">Alexander Shvartsman</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Coding+theory%22">Coding theory</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures+%28Computer+science%29%22">Data structures (Computer science)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Computer+Science%22">COMPUTERS / Computer Science</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Information+Theory%22">COMPUTERS / Information Theory</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 004 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Coding theory Type: general – SubjectFull: Information theory Type: general – SubjectFull: Data structures (Computer science) Type: general Titles: – TitleFull: Cooperative Task-Oriented Computing : Algorithms and Complexity Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chryssis Georgiou – PersonEntity: Name: NameFull: Alexander Shvartsman – PersonEntity: Name: NameFull: Chryssis Georgiou – PersonEntity: Name: NameFull: Alexander Shvartsman IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 01 M: 06 Type: profile Y: 2022 Titles: – TitleFull: Cooperative Task-Oriented Computing : Algorithms and Complexity Type: main |
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