Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing
Paluska, Justin Mazzola
;
Pham, Hubert
;
Schiele, Gregor
;
Becker, Christian
;
Ward, Steve
DOI:
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https://doi.org/10.1145/2307849.2307853
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URL:
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http://hdl.handle.net/1721.1/70581
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Additional URL:
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http://dl.acm.org/citation.cfm?id=2307853
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Document Type:
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Conference or workshop publication
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Year of publication:
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2012
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Book title:
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Proceedings of the Third ACM Workshop on Mobile Cloud Computing and Services, MCS'12 ; co-located with MobiSys'12 ; June 25, 2012, Low Wood Bay, Lake District, UK
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Page range:
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3-8
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Conference title:
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10th International Conference on Mobile Systems, Applications and Services & co-located workshops
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Date of the conference:
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25.-29.06.2012
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Publisher:
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Padhye, Jitendra
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Place of publication:
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New York, NY
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Publishing house:
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ACM
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ISBN:
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978-1-4503-1319-3
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Publication language:
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English
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Institution:
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Business School > Wirtschaftsinformatik II (Becker 2006-2021)
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Subject:
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004 Computer science, internet
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Abstract:
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Cloud systems differ fundamentally in how they offer and charge for resources. While some systems provide a generic programming abstraction at coarse granularity, e.g., a virtual machine rented by the hour, others offer specialized abstractions with fine-grained accounting on a per-request basis. In this paper, we explore Tasklets, an abstraction for instances of short-duration, generic computations that migrate from a host requiring computation to hosts that are willing to provide computation. Tasklets enable fine-grained accounting of resource usage, enabling us to build infrastructure that supports trading computing resources according to various economic models. This computation model is especially attractive in settings where mobile devices can utilize resources in the cloud to mitigate local resource constraints.
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| Dieser Eintrag ist Teil der Universitätsbibliographie. |
Search Authors in
BASE:
Paluska, Justin Mazzola
;
Pham, Hubert
;
Schiele, Gregor
;
Becker, Christian
;
Ward, Steve
Google Scholar:
Paluska, Justin Mazzola
;
Pham, Hubert
;
Schiele, Gregor
;
Becker, Christian
;
Ward, Steve
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