In this paper we investigate the problem of optimal MDS-encoded cache placement at the wireless edge to minimize the backhaul rate in heterogeneous networks. We derive the backhaul rate performance of any caching scheme based on file splitting and MDS encoding and we formulate the optimal caching scheme as a convex optimization problem. We then thoroughly investigate the performance of this optimal scheme for an important heterogeneous network scenario. We compare it to several other caching strategies and we analyze the influence of the system parameters, such as the popularity and size of the library files and the capabilities of the small-cell base stations, on the overall performance of our optimal caching strategy. Our results show that the careful placement of MDS-encoded content in caches at the wireless edge leads to a significant decrease of the load of the network backhaul and hence to a considerable performance enhancement of the network.

Optimizing MDS Codes for Caching at the Edge

Bioglio V
First
;
2015-01-01

Abstract

In this paper we investigate the problem of optimal MDS-encoded cache placement at the wireless edge to minimize the backhaul rate in heterogeneous networks. We derive the backhaul rate performance of any caching scheme based on file splitting and MDS encoding and we formulate the optimal caching scheme as a convex optimization problem. We then thoroughly investigate the performance of this optimal scheme for an important heterogeneous network scenario. We compare it to several other caching strategies and we analyze the influence of the system parameters, such as the popularity and size of the library files and the capabilities of the small-cell base stations, on the overall performance of our optimal caching strategy. Our results show that the careful placement of MDS-encoded content in caches at the wireless edge leads to a significant decrease of the load of the network backhaul and hence to a considerable performance enhancement of the network.
2015
Global Communications Conference (GLOBECOM), 2015 IEEE
San Diego, CA
6-10 Dec. 2015
Proc. of Global Communications Conference (GLOBECOM), 2015 IEEE
Attuale:IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, USA, NJ, 08855 ACM / Association for Computing Machinery:1515 Broadway, 17th Floor:New York, NY 10036:(212)869-7440, EMAIL: acmhelp@hq.acm.org, INTERNET: http://www.acm.or
1
6
978-1-4799-5952-5
Bioglio V; Gabry F; Land I
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1888928
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