Nonstationary Poisson modeling of web browsing session arrivals
Information Processing Letters
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Exploit the known or explore the unknown?: hamlet-like doubts in ICN
Proceedings of the second edition of the ICN workshop on Information-centric networking
A case for stateful forwarding plane
Computer Communications
Evaluating CCN multi-path interest forwarding strategies
Computer Communications
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Information Centric Networking is a new communication paradigm where network primitives are based on named-data rather than host identifiers. In ICN, data retrieval is triggered by user requests which are forwarded towards a copy of the desired content item. Data can be retrieved either from a server that permanently provides a content item,or from a temporary item copy opportunistically cached by an in-network node. As the availability of cached items dynamically varies over time, the request forwarding scheme should be adapted accordingly. In this paper we focus on dynamic request forwarding in ICN, and develop an approach, inspired by Q-routing framework, that we show to outperform algorithms currently available in the state of the art.