Thanassis Papaioannou's talk on DB Seminar

Title: Scalia: An Adaptive Scheme for Efficient Multi-Cloud Storage

Abstract

A growing amount of data is produced daily resulting in a growing demand for storage solutions. While cloud storage providers offer a virtually infinite storage capacity, data owners seek geographical and provider diversity in data placement, in order to avoid vendor lock-in and to increase availability and durability. Moreover, depending on the customer data access pattern, a certain cloud provider may be cheaper than another. In this paper, we introduce Scalia, a cloud storage brokerage solution that continuously adapts the placement of data based on its access pattern and subject to optimization objectives, such as storage costs. Scalia efficiently considers re-positioning of only selected objects that may significantly lower the storage cost. By extensive simulation experiments, we prove the cost-effectiveness of Scalia against static placements and its proximity to the ideal data placement in various scenarios of data access patterns, of available cloud storage solutions and of failures.

Bio

Thanasis G. Papaioannou is a postdoctoral fellow at the Distributed Information Systems Laboratory of Ecole Polytechnique Fédérale de Lausanne (EPFL). He received his B.Sc. (1998) and M.Sc. (2000) in Networks and in Parallel/Distributed Systems from the Department of Computer Science, University of Crete, Greece, and his Ph.D. (2007) from the Department of Computer Science, Athens University of Economics and Business (AUEB). From spring 2007 to spring 2008, he was a Visiting Professor in the Department of Computer Science of Athens University of Economics and Business, teaching i) Distributed Systems and ii) Networks – Network Security. From 1998, he has worked for 13 European projects, including MONTAGE, M3I, MMAPPS, GridEcon, Hydrosys, Wattalyst and OpenIoT, as well as Swiss projects SwissExperiment and OpenSense. He also has published over 35 papers in high quality journals and conferences including Springer Electronic Commerce Research, Elsevier Computer Networks Journal, IEEE INFOCOM, Supercomputing, CIKM, IEEE ICDE, ACM SoCC, IEEE CCGRID etc. He has been TPC member in many conferences and more recently in ICDCS 2013, ACM Sigmod 2012, SSDBM 2012, IEEE ICDE 2011, etc. His research interests are in data stream processing, mechanism design for online environments, cloud resource management, privacy, trust and reputation, sensor networks, and QoS.