Controlling software applications via resource allocation within the Heartbeats framework
A formalism was recently introduced to instrument, monitor and control computer applications based on the rate of heartbeats they emit, thereby quantitatively signaling their progress toward goals. To date, the idea was however used essentially in an heuristic manner. This work first shows that a ve...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://hdl.handle.net/1721.1/72074 https://orcid.org/0000-0002-7015-4262 https://orcid.org/0000-0002-1143-1127 |
| _version_ | 1826211793772478464 |
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| author | Maggio, Martina Hoffmann, Henry Christian Santambrogio, Marco Domenico Agarwal, Anant Leva, Alberto |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Maggio, Martina Hoffmann, Henry Christian Santambrogio, Marco Domenico Agarwal, Anant Leva, Alberto |
| author_sort | Maggio, Martina |
| collection | MIT |
| description | A formalism was recently introduced to instrument, monitor and control computer applications based on the rate of heartbeats they emit, thereby quantitatively signaling their progress toward goals. To date, the idea was however used essentially in an heuristic manner. This work first shows that a very simple dynamic heartbeat rate model can be devised, an that said model allows to address the corresponding control problems in a methodologically grounded way. A general solution is then devised, that can be realized through different actuation mechanisms, depending on which type of resource-CPU, memory, bandwidth, etc.-is constraining the application performance in the particular situation at hand. Experiments prove the efficacy of the proposed extension to the heartbeats framework, both with applications that fit the proposed model and with more complex test cases, for which said model is just a coarse approximation. |
| first_indexed | 2024-09-23T15:11:29Z |
| format | Article |
| id | mit-1721.1/72074 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:11:29Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/720742022-10-02T01:13:51Z Controlling software applications via resource allocation within the Heartbeats framework Maggio, Martina Hoffmann, Henry Christian Santambrogio, Marco Domenico Agarwal, Anant Leva, Alberto Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Agarwal, Anant Maggio, Martina Hoffmann, Henry Christian Santambrogio, Marco Domenico Agarwal, Anant A formalism was recently introduced to instrument, monitor and control computer applications based on the rate of heartbeats they emit, thereby quantitatively signaling their progress toward goals. To date, the idea was however used essentially in an heuristic manner. This work first shows that a very simple dynamic heartbeat rate model can be devised, an that said model allows to address the corresponding control problems in a methodologically grounded way. A general solution is then devised, that can be realized through different actuation mechanisms, depending on which type of resource-CPU, memory, bandwidth, etc.-is constraining the application performance in the particular situation at hand. Experiments prove the efficacy of the proposed extension to the heartbeats framework, both with applications that fit the proposed model and with more complex test cases, for which said model is just a coarse approximation. 2012-08-09T15:34:53Z 2012-08-09T15:34:53Z 2010-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-7745-6 0743-1546 http://hdl.handle.net/1721.1/72074 Maggio, Martina et al. “Controlling software applications via resource allocation within the heartbeats framework.” IEEE, 2010. 3736-3741. © 2010 IEEE https://orcid.org/0000-0002-7015-4262 https://orcid.org/0000-0002-1143-1127 en_US http://dx.doi.org/10.1109/CDC.2010.5717893 49th IEEE Conference on Decision and Control (CDC), 2010 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
| spellingShingle | Maggio, Martina Hoffmann, Henry Christian Santambrogio, Marco Domenico Agarwal, Anant Leva, Alberto Controlling software applications via resource allocation within the Heartbeats framework |
| title | Controlling software applications via resource allocation within the Heartbeats framework |
| title_full | Controlling software applications via resource allocation within the Heartbeats framework |
| title_fullStr | Controlling software applications via resource allocation within the Heartbeats framework |
| title_full_unstemmed | Controlling software applications via resource allocation within the Heartbeats framework |
| title_short | Controlling software applications via resource allocation within the Heartbeats framework |
| title_sort | controlling software applications via resource allocation within the heartbeats framework |
| url | http://hdl.handle.net/1721.1/72074 https://orcid.org/0000-0002-7015-4262 https://orcid.org/0000-0002-1143-1127 |
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