Manolis Sifalakis

Learn More
Named Function Networking (NFN) extends classic Information Centric Networking (ICN), such that in addition to resolving data access by name, it also supports the concept of function definition and application to data (or other functions) in the same resolution-by-name process. This empowers the network to select internally (optimal) places for fulfilling a(More)
Current ICN research favors a key-value-store view of the network, where location agnostic names typically resolve to documents, data blocks or sensor values. We believe that names should not only refer to data but also to functions and computation tasks. In Named Function Networking (NFN) the network's role becomes to resolve names to computations, par(More)
Autonomic networking set a challenge for the research community to engineer systems and architectures that will increase the QoS and robustness of future network architectures. However, our experience is that so far the autonomic network research community does not have a common perception of what an autonomic network is. This paper attempts to propose a(More)
Content Centric Networking (CCN) proposes a clean-slate architecture as an alternative to current TCP/IP, which matches better current Internet use patterns. However, not much thinking has been invested yet on how this replacement could take place. We assume that the simplest and most attractive approach is a native co-existence of the two architectures in(More)
This paper proposes a novel mechanism to enhance data protection in communications across untrusted networks. The approach is based on the principle of network address hopping, whereby a data stream is spread across multiple end-to-end connections. The aim is to obscure the data exchange between two peers by shuffling the communication pattern. The hopping(More)
In this work we propose an accelerated stochastic learning system for very large-scale applications. Acceleration is achieved by mapping the training algorithm onto massively parallel processors: we demonstrate a parallel, asynchronous GPU implementation of the widely used stochastic coordinate descent/ascent algorithm that can provide up to 35×(More)
This paper describes a novel model for the provision of service composites for active routers. The service composition framework enables flexible programmability of the router's data path through dynamically loadable software components, called 'active components'. The composition model promotes transparent and dynamic creation of network-side services and(More)
The Content Centric Network (CCNx) protocol introduces a new routing and forwarding paradigm for the waist of the future Internet architecture. Below CCN, a volatile set of transport and flow-control strategies is envisioned, which can match better different service requirements, than current TCP/IP technology does. Although a broad range of possibilities(More)
The Named Data Networking (NDN) project is emerging as one of the most promising information-centric future Internet architectures. So far, NDN performance in wireless networks has been largely unexplored, especially for what concerns transport mechanisms, which are crucial to ensure reliable and efficient data delivery while accounting for available(More)