Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing
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 basi...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2012
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| Online Access: | http://hdl.handle.net/1721.1/70581 https://orcid.org/0000-0002-9255-307X |
| _version_ | 1811092150457204736 |
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| author | Paluska, Justin Mazzola Pham, Hubert Schiele, Gregor Becker, Christian Ward, Stephen A. |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Paluska, Justin Mazzola Pham, Hubert Schiele, Gregor Becker, Christian Ward, Stephen A. |
| author_sort | Paluska, Justin Mazzola |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:13:46Z |
| format | Article |
| id | mit-1721.1/70581 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:13:46Z |
| publishDate | 2012 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/705812022-10-02T01:30:22Z Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing Paluska, Justin Mazzola Pham, Hubert Schiele, Gregor Becker, Christian Ward, Stephen A. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Ward, Stephen A. Pham, Hubert Paluska, Justin Mazzola Ward, Stephen A. 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. 2012-05-11T19:42:21Z 2012-05-11T19:42:21Z 2012-06 2012-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-1319-3 http://hdl.handle.net/1721.1/70581 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. https://orcid.org/0000-0002-9255-307X en_US http://mcs12.eecs.umich.edu/Home.html http://dl.acm.org/citation.cfm?id=2307853 MCS '12: Proceedings of the Third International Workshop on Mobile Cloud Computing and Services Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computing Machinery (ACM) Justin Mazzola Paluska |
| spellingShingle | Paluska, Justin Mazzola Pham, Hubert Schiele, Gregor Becker, Christian Ward, Stephen A. Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing |
| title | Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing |
| title_full | Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing |
| title_fullStr | Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing |
| title_full_unstemmed | Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing |
| title_short | Vision: a Lightweight Computing Model for Fine-Grained Cloud Computing |
| title_sort | vision a lightweight computing model for fine grained cloud computing |
| url | http://hdl.handle.net/1721.1/70581 https://orcid.org/0000-0002-9255-307X |
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