Cache-aided Folding for Reducing VoD Loads in Networks
HORIZON.1.1HORIZON-ERC-POCID: 101101031
EC Contribution
€1,500
Consortium Size
1 orgs
▶Summary
Communicating video-on-demand (VoD) over various networks is very costly. VoD drives up the costs for purchasing bandwidth and overprovisioning infrastructures, as well as the costs to content providers (Netflix, Amazon, etc.) that must pay large fees to network operators to deliver content to their clients. To reduce the massive VoD fees, networks employ caches. Our findings in our ERC project DUALITY reveal a new method of exploiting caches that boosts the performance of various networks. We wish to explore the practical ramifications of these findings in practical networks. This project will explore the algorithmic and testing work needed to render these ideas practical.
Consortium (1)
Project Results (4)
Source: CORDIS, the EU research results database.
▶Publications (4)
Exact SINR Analysis of Matched-filter Precoder
2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)· 2024DOI
Hui Zhao, Dirk Slock, Petros Elia
Multi-Server Multi-Function Distributed Computation
Derya Malak, Mohammad Reza Deylam Salehi, Berksan Serbetci, Petros Elia
Perfect Multi-User Distributed Computing
Ali Khalesi, Petros Elia
Tessellated Distributed Computing
arxiv (submitted Trans. Information Theory)· 2024
{Ali Khalesi and Petros Elia