H2C: a Hierarchical Two-layer Caching Design for Networked System

  • Gallo M.
  • Lorenzo Saino
  • Perino D.

Packet-level caching is becoming increasingly important as it is exploited by several network applications today, and proposed as basic building block of future Internet architectures. This demands for high-speed caching designs that leverage heterogeneous storage technologies to scale the storage space up to TBs, and off-the-shelf general purpose hardware to simplify cache deployment and reuse by multiple services. However, existing designs do not meet those requirements. In this paper we present H2C, a two-layer packet-level caching system designed with those goals in mind. H2C is based on aggressive prefetching, batching and parallelism exploitation at all layers of the system in order to hide memory access latencies. We implement H2C in user space on a general purpose architecture for Named Data Networking future Internet architecture proposal. Experimental results show H2C sustain cache operations at multi-Gbps with advanced management policies.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...