Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Content Placement Problem in a Hierarchical Collaborative Caching method for 5G networks (CPP-HCC)
Date
2020-01-01
Author
Hassanzadeh, Farnaz
Onur, Ertan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
175
views
0
downloads
Cite This
The increasing demand for video streaming has imposed tremendous data rates and minimal end-to-end latency requirements on 5G mobile networks. Caching content close to the users is one of the conventional ways to meet these requirements. Subsequent requests for the same content can be supplied from the cache with minimal delay. In this paper, we present a content placement problem in a hierarchical collaborative caching (CPP-HCC) in 5G networks that can determine the location of the replica contents by solving an optimization problem. This optimization problem minimizes the latency for transferring content between entities of the network. The evaluation results confirm the efficiency of CPP-HCC compared to other benchmark methods and show that the latency and hit ratio can be improved by 83% and 62%, respectively.
URI
https://hdl.handle.net/11511/89314
DOI
https://doi.org/10.23919/cnsm50824.2020.9269047
Conference Name
16th International Conference on Network and Service Management (CNSM) / 2nd International Workshop on Analytics for Service and Application Management (AnServApp) / 1st International Workshop on the Future Evolution of Internet Protocols (IPFuture)
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Base Station Power Optimization for Green Networks Using Reinforcement Learning
Aktaş, Semih; Alemdar, Hande (2021-08-31)
The next generation mobile networks have to provide high data rates, extremely low latency, and support high connection density. To meet these requirements, the number of base stations will have to increase and this increase will lead to an energy consumption issue. Therefore “green” approaches to the network operation will gain importance. Reducing the energy consumption of base stations is essential for going green and also it helps service providers to reduce operational expenses. However, achieving ener...
Base station power optimization for green networks using reinforcement learning
Aktaş, Semih; Alemdar, Hande; Department of Computer Engineering (2019)
The next generation mobile networks have to provide high data rates, extremely low latency, and support high connection density. To meet these requirements, the number of base stations will have to increase and this increase will lead to an energy consumption issue. Therefore ``green'' approaches to the network operation will gain importance. Reducing the energy consumption of base stations is essential for going green and also it helps service providers to reduce operational expenses. However, achieving en...
Content delivery networks and their roles in eLearning
Turker, MA (2004-04-30)
Content Delivery Networks (CDN) utilize the large caching capacities at the edges of the network to case down the media serving requirements of Internet sites and to enable faster delivery of content to the end users. CDN technology can scale from small enterprise networks to large global networks. In the case of eLearning content, a heterogeneous network with a mixture of options can be used. CDN caches are updated frequent enough to mirror the right content of the site, yet the updates are at times which ...
Video distribution over IP networks
Özdem, Mehmet; Erten, Y. Murat; Department of Information Systems (2007)
As applications like IPTV and VoD (Video on demand) are gaining popularity, it is becoming more important to study the behavior of video signals in the Internet access infrastructures such as ADSL and cable networks. Average delay, average jitter and packet loss in these networks affect the quality of service, hence transmission and access speeds need to be determined such that these parameters are minimized. In this study the behavior of the above mentioned IP networks under variable bit rate (VBR) video t...
Scheduling algorithms for wireless cdma networks
Hakyemez, Serkan Ender; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2007)
In recent years the need for multimedia packet data services in wireless networks has grown rapidly. To overcome that need third generation (3G) mobile services have been proposed. The fast growing demands multimedia services in 3G services brought the need for higher capacity. As a result of this, the improvement on throughput, traffic serving performance has become necessary in 3G systems. Code division multiple access (CDMA) technique is one of the most important 3G wireless mobile techniques that has be...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
F. Hassanzadeh and E. Onur, “Content Placement Problem in a Hierarchical Collaborative Caching method for 5G networks (CPP-HCC),” presented at the 16th International Conference on Network and Service Management (CNSM) / 2nd International Workshop on Analytics for Service and Application Management (AnServApp) / 1st International Workshop on the Future Evolution of Internet Protocols (IPFuture), ELECTR NETWORK, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89314.