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Advancing Computing as a Science & Profession

November 20 - 22 , 2017
Venue: Jamjuree 1, Pathumwan Princess Hotel, Bangkok Thailand

The 13th Asian Internet Engineering Conference (AINTEC) provides an international technical forum for experts from industry and academia. AINTEC especially aims at addressing issues pertinent to the Asia and Pacific region, with vast diversities of socio-economic and networking conditions, while inviting high quality and recent research results from the Internet research community at large. AINTEC 2017 follows the tenth successful editions held in Thailand, in cooperation with ACM SIGCOMM. AINTEC'2017 proceedings will be included in the ACM Digital Library. The conference is single-track and features a technical program with significant opportunities for individual and small-group discussions among a diverse set of participants. The technical sessions will include invited talks by leading experts, presentations of papers, demos, posters, pre-conference activity (27th Asian School). Best Paper Awardee is entitled with an ACM SIGCOMM travel grant program.

Organized by

intERLabAsian Institute of Technology







Asia-Pacific Network Information Centre

Philippe Bonnet

Philippe Bonnet is professor at the IT University of Copenhagen. He is a Marie Curie fellow with a track record of successful research projects under DARPA, NSF (while a research associate at Cornell University), EU and Danish funding (first at U.Copenhagen and since 2009 at ITU). Philippe is an experimental computer scientist with a background in database management. For twenty years, he has explored the design, implementation and evaluation of database systems in the context of successive generations of computer classes in particular wireless sensor networks and cloud computing. In 2011-15, Philippe managed the CLyDE project that promoted open-channel SSDs and resulted in two contributions to the Linux kernel and two patents. Currently, Philippe's research focuses on programmable storage devices. Philippe is co-author of a reference book on database tuning together with Dennis Shasha from New York University.

Full Bio

Title: Near-Data and In-network Database Processing: Lessons Learned and Perspectives

When the network is the bottleneck, it is necessary to minimize data movement by processing data where it resides (in situ) or as it moves through the network (in-network). This is specially relevant in the context of database systems that ingest and process increasingly large volumes of data with stricter latency and energy consumption requirements. In this keynote, I will review the near-data (in situ) and in-network (in transit) processing techniques developed in the database community over the last two decades for various classes of computer systems. I will discuss lessons learned and perspectives for Future Internet Architectures and decentralized clouds.