Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing
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Author(s) • • • •
Paluska, Justin Mazzola
Pham, Hubert
Schiele, Gregor
Becker, Christian
Ward, Stephen A.
Date Issued
June 2012
Journal
MCS '12: Proceedings of the Third International Workshop on Mobile Cloud Computing and Services
Publisher
Association for Computing Machinery (ACM)
Citation
Paluska, Justin Mazzola, et al. "Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing." Forthcoming in: MCS '12: Proceedings of the Third International Workshop on Mobile Cloud Computing and Services (MCS'12) held with MobiSys2012, June 25-29, 2012, Low Wood Bay, Lake District, United Kingdom.
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
http://dl.acm.org/citation.cfm?id=2307853
https://doi.org/10.1145/2307849.2307853