WAVE: Popularity-based and collaborative in-network caching for content-oriented networks

By Kideok Cho, Munyoung Lee, Kunwoo Park, T. Kwon, Yanghee Choi, Sangheon Pack. 2012 Proceedings IEEE INFOCOM Workshops, 2012

378 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/1f816630e35f37503e44502e388be448a9e483b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. F. Yu
2. George Pavlou
3. Tao Lin
4. Lun Tang
5. Diliang He
6. Ioannis Psaras
7. Wei Koong Chai
8. Chengchao Liang

Citations in the corpus

• Caching in information centric networking: A survey (2013, background): “Quite some implicit cache coordination schemes are proposed to alleviate the high cache redundancy introduced by LCE [34,35,16,24,38,46,41].”
• Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems (2019, background): “In networks science, this phenomena is referred to as popularity [14, 39], a terminology we adopt here.”
• Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing (2017, background): “The caching strategies proposed in [24] and [25] are based on where routers are located in the topology, while [26] designs the strategy according to the content popularity.”
• Cache "less for more" in information-centric networks (extended version) (2012, background): “Besides studies on CCN, others have already started investigating algorithms that make more efficient use of caching resources.”