Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks
The current paper presents extensions to a distributeduser mobility-based proactive caching scheme thatsupports individual users’ requests, and a brief discussion of the benefits from exploiting user-centric features. The approach applies to Heterogeneous Wireless Networks (HWNs) for offloading traf...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2016-12-01
|
Series: | EAI Endorsed Transactions on Cloud Systems |
Subjects: | |
Online Access: | https://eudl.eu/pdf/10.4108/icst.qshine.2014.256316 |
id |
doaj-9e0718786a5246db97ca5be905db9ac1 |
---|---|
record_format |
Article |
spelling |
doaj-9e0718786a5246db97ca5be905db9ac12020-11-24T21:56:33ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Cloud Systems2410-68952016-12-012710.4108/icst.qshine.2014.256316Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless NetworksXenofon Vasilakos0Vasilios Siris1Athens University of Economics and BusinessAthens University of Economics and BusinessThe current paper presents extensions to a distributeduser mobility-based proactive caching scheme thatsupports individual users’ requests, and a brief discussion of the benefits from exploiting user-centric features. The approach applies to Heterogeneous Wireless Networks (HWNs) for offloading traffic volumes to small cells and for reducing delay for specific categories of mobile users and mobile application scenarios through Efficient Proactive Caching (EPC) decisions at small cells. The approach is designed to support mobile users’ requests for content not treated by popularity-based caching. Here, we discuss how proactive caching decisions can jointly utilize individual user mobility and data popularity to enhance the benefits of cache decisions for individuals to a broader set of mobiles requesting the same data.https://eudl.eu/pdf/10.4108/icst.qshine.2014.256316proactive cahing user mobility data popularity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xenofon Vasilakos Vasilios Siris |
spellingShingle |
Xenofon Vasilakos Vasilios Siris Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks EAI Endorsed Transactions on Cloud Systems proactive cahing user mobility data popularity |
author_facet |
Xenofon Vasilakos Vasilios Siris |
author_sort |
Xenofon Vasilakos |
title |
Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks |
title_short |
Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks |
title_full |
Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks |
title_fullStr |
Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks |
title_full_unstemmed |
Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks |
title_sort |
adapting data popularity in mobility-based proactive caching decisions for heterogeneous wireless networks |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Cloud Systems |
issn |
2410-6895 |
publishDate |
2016-12-01 |
description |
The current paper presents extensions to a distributeduser mobility-based proactive caching scheme thatsupports individual users’ requests, and a brief discussion of the benefits from exploiting user-centric features. The approach applies to Heterogeneous Wireless Networks (HWNs) for offloading traffic volumes to small cells and for reducing delay for specific categories of mobile users and mobile application scenarios through Efficient Proactive Caching (EPC) decisions at small cells. The approach is designed to support mobile users’ requests for content not treated by popularity-based caching. Here, we discuss how proactive caching decisions can jointly utilize individual user mobility and data popularity to enhance the benefits of cache decisions for individuals to a broader set of mobiles requesting the same data. |
topic |
proactive cahing user mobility data popularity |
url |
https://eudl.eu/pdf/10.4108/icst.qshine.2014.256316 |
work_keys_str_mv |
AT xenofonvasilakos adaptingdatapopularityinmobilitybasedproactivecachingdecisionsforheterogeneouswirelessnetworks AT vasiliossiris adaptingdatapopularityinmobilitybasedproactivecachingdecisionsforheterogeneouswirelessnetworks |
_version_ |
1725858430721196032 |