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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Main Authors: Malak, Derya, Medard, Muriel, Yeh, Edmund M.
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
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.
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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
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