ABSTRACT:
In this paper we present PACK (Predictive ACKs), a novel end-to-end Traffic Redundancy Elimination (TRE) system, designed for cloud computing customers. Cloud-based TRE needs to apply a judicious use of cloud resources so that the bandwidth cost reduction combined with the additional cost of TRE computation and storage would be optimized. PACK’s main advantage is its capability of offloading the cloud-server TRE effort to end-clients, thus minimizing the processing costs induced by the TRE algorithm. Unlike previous solutions, PACK does not require the server to continuously maintain client’s status. This makes PACK very suitable for pervasive computation environments that combine client mobility and server migration to maintain cloud elasticity. PACK is based on a novel TRE technique, which allows the client to use newly received chunks to identify previously received chuck chains, which in turn can be used as reliable predictors to future transmitted chunks. We present a fully functional PACK implementation, transparent to all TCP-based applications and network devices. Finally, we analyze PACK benefits for cloud users, using traffic traces for various sources.
Joint work with Eyal Zohar and Israel Cidon. The work was presented at SigComm’11, and extended to a ToN paper 2013.
BIO:
Osnat (Ossi) Mokryn received her B.Sc. in Computer Science and M.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology, Haifa, Israel, in 1993 and 1998, respectively. She received her Ph.D in Computer Science from the Hebrew University, Jerusalem, Israel, in 2004. Ossi has worked at leading companies such as Intel and IBM research labs in Haifa, Israel. She was a post doctorate fellow in the Electrical Engineering Departments at Tel-Aviv University, Israel and also at the Technion, Haifa, Israel. Starting 2008 she is a faculty member at the School of Computer Science in Tel Aviv Jaffa College, Israel. Her recent research focuses on cloud content delivery and federated networks, data mining and recommenders in information systems and social networks.