Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing


Paluska, Justin Mazzola ; Pham, Hubert ; Schiele, Gregor ; Becker, Christian ; Ward, Steve



DOI: https://doi.org/10.1145/2307849.2307853
URL: http://hdl.handle.net/1721.1/70581
Additional URL: http://dl.acm.org/citation.cfm?id=2307853
Document Type: Conference or workshop publication
Year of publication: 2012
Book title: 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
Page range: 3-8
Conference title: 10th International Conference on Mobile Systems, Applications and Services & co-located workshops
Date of the conference: 25.-29.06.2012
Publisher: Padhye, Jitendra
Place of publication: New York, NY
Publishing house: ACM
ISBN: 978-1-4503-1319-3
Publication language: English
Institution: Business School > Wirtschaftsinformatik II (Becker 2006-2021)
Subject: 004 Computer science, internet
Abstract: 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.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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