Skip to Main content Skip to Navigation
Conference papers

On the Performance of General Cache Networks

Abstract : The performance evaluation of cache networks has gain a huge attention due to content-oriented delivery technologies. If general network topologies are more realistic than hierarchical networks widely studied in the literature, their analysis is significantly challenging. Existing models mainly focus on trees where content custodians are located at the root and the one-way child-to-parent request forwarding schema is common. In this paper, we consider complex and irregular networks where requests may flow possibly in opposite directions from/to several sources/destinations. Moreover , we assume that caches may run one of Time-To-Live (TTL)-based policies recently introduced for content-centric networks and modern Domain Name System [5]. We then derive an analytical framework and a polynomial-time algorithm that approximate accurately performance metrics of arbitrary graph-based and heterogeneous TTL-based cache networks. Simulations show that our simplified methodology may accurately predict metrics of interest on networks of caches running popular replacement algorithms (e.g. LRU, FIFO, or Random) without restricting its scope of application to this interesting use case. Unlike existing approaches, ours scales as network and content catalog sizes increase.
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-01272503
Contributor : Philippe Nain <>
Submitted on : Wednesday, February 10, 2016 - 10:14:33 PM
Last modification on : Tuesday, February 2, 2021 - 2:26:02 PM
Long-term archiving on: : Saturday, November 12, 2016 - 5:05:58 PM

File

ValueTools14.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01272503, version 1

Citation

Nicaise Choungmo Fofack, M Dehghan, D Towsley, M Badov, Dennis L. Goeckel. On the Performance of General Cache Networks. ValueTools , Dec 2014, Bratislava, Slovakia. ⟨hal-01272503⟩

Share

Metrics

Record views

85

Files downloads

475