Amr El Abbadi - Consistent and Fault-Tolerant Management of Big Data in the Cloud

Organisé par : 
L’équipe "Keynotes" du LIG
Intervenant : 
Amr El Abbadi

Information détaillée : 

Amr El Abbadi is a Professor in the Computer Science Department at the University of California, Santa Barbara. He received his B. Eng. in Computer Science from Alexandria University, Egypt, and received his Ph.D. in Computer Science from Cornell University. Prof. El Abbadi is an ACM Fellow, AAAS Fellow, IEEE Fellow and was Chair of the Computer Science Department at UCSB from 2007 to 2011. He has served as a journal editor for several database journals, including, currently, The VLDB Journal, IEEE Transactions on Computers and The Computer Journal. He has been Program Chair for multiple database and distributed systems conferences, most recently SIGSPATIAL GIS 2010, ACM Symposium on Cloud Computing (SoCC) 2011, COMAD (India) 2012 and the first ACM Conference on Social Networks (COSN). He currently serves of the executive committee of the IEEE Technical Committee on Data Engineering (TCDE) and wass a board member of the VLDB Endowment from 2002—2008. In 2007, Prof. El Abbadi received the UCSB Senate Outstanding Mentorship Award for his excellence in mentoring graduate students. In 2013, his student, Sudipto Das received the SIGMOD Jim Gray Doctoral Dissertation Award. He has published over 300 articles in databases and distributed systems and has supervised over 30 PhD students.

© UMS MI2S / Djamel Hadji

Résumé : 
Over the past few years, cloud computing and the growth of global large scale computing systems have led to applications which require data management across multiple datacenters. Initially key-value stores were proposed to provide single row level operations with eventual consistency. Although key-value stores provide high availability, they are not ideal for applications that require consistent data views. More recently, there has been a gradual shift to provide transactions with strong consistency to simplify application development. In this talk, we will start by analyzing the need and the revival of SQL database management systems in large cloud settings. We will discuss several state of the art systems, which provide transactional guarantees on collections of data items, thus supporting complex queries, while attempting to ensure scalability, elasticity and fault-tolerance. Of particular interest are applications which require geo-replicated data management. We will therefore discuss different approaches for replicating data in multi-datacenter environments. Throughout the talk, principles will be illustrated using concrete systems and protocols.