Spatial Soft-Core Caching
© 2019 IEEE. We propose a decentralized spatial soft-core cache placement (SSCC) policy for wireless networks. SSCC yields a spatially balanced sampling via negative dependence across caches, and can be tuned to satisfy cache size constraints with high probability. Given a desired cache hit probabil...
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Format: | Article |
Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/137679.2 |
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author | Malak, Derya Medard, Muriel Yeh, Edmund M. |
author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Malak, Derya Medard, Muriel Yeh, Edmund M. |
author_sort | Malak, Derya |
collection | MIT |
description | © 2019 IEEE. We propose a decentralized spatial soft-core cache placement (SSCC) policy for wireless networks. SSCC yields a spatially balanced sampling via negative dependence across caches, and can be tuned to satisfy cache size constraints with high probability. Given a desired cache hit probability, we compare the 95% confidence intervals of the required cache sizes for independent placement, hard-core placement and SSCC policies. We demonstrate that in terms of the required cache storage size, SSCC can provide up to more than 180% and 100% gains with respect to the independent and hard-core placement policies, respectively. SSCC can be used to enable proximity-based applications such as device-to-device communications and peer-to-peer networking as it promotes the item diversity and reciprocation among the nodes. |
first_indexed | 2024-09-23T16:16:00Z |
format | Article |
id | mit-1721.1/137679.2 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:16:00Z |
publishDate | 2021 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
spelling | mit-1721.1/137679.22021-11-23T17:15:48Z Spatial Soft-Core Caching Malak, Derya Medard, Muriel Yeh, Edmund M. Massachusetts Institute of Technology. Research Laboratory of Electronics © 2019 IEEE. We propose a decentralized spatial soft-core cache placement (SSCC) policy for wireless networks. SSCC yields a spatially balanced sampling via negative dependence across caches, and can be tuned to satisfy cache size constraints with high probability. Given a desired cache hit probability, we compare the 95% confidence intervals of the required cache sizes for independent placement, hard-core placement and SSCC policies. We demonstrate that in terms of the required cache storage size, SSCC can provide up to more than 180% and 100% gains with respect to the independent and hard-core placement policies, respectively. SSCC can be used to enable proximity-based applications such as device-to-device communications and peer-to-peer networking as it promotes the item diversity and reciprocation among the nodes. 2021-11-23T17:15:47Z 2021-11-08T15:17:09Z 2021-11-23T17:15:47Z 2019-07 2021-03-09T17:07:23Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137679.2 2019. "Spatial Soft-Core Caching." IEEE International Symposium on Information Theory - Proceedings, 2019-July. en 10.1109/ISIT.2019.8849402 IEEE International Symposium on Information Theory - Proceedings Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream Institute of Electrical and Electronics Engineers (IEEE) arXiv |
spellingShingle | Malak, Derya Medard, Muriel Yeh, Edmund M. Spatial Soft-Core Caching |
title | Spatial Soft-Core Caching |
title_full | Spatial Soft-Core Caching |
title_fullStr | Spatial Soft-Core Caching |
title_full_unstemmed | Spatial Soft-Core Caching |
title_short | Spatial Soft-Core Caching |
title_sort | spatial soft core caching |
url | https://hdl.handle.net/1721.1/137679.2 |
work_keys_str_mv | AT malakderya spatialsoftcorecaching AT medardmuriel spatialsoftcorecaching AT yehedmundm spatialsoftcorecaching |