The Challenges of Global-scale Data Management [Tutorial 5]
FRIDAY, July 1, 2016 (8:30am - 12:00pm)
Abstract: Global-scale data management (GSDM) empowers systems by providing higher levels of fault-tolerance, read availability, and efficiency in utilizing cloud resources. This has led to the emergence of global-scale data management and event processing. However, the Wide-Area Network (WAN) latency separating data is orders of magnitude larger than conventional network latencies, and this requires a reevaluation of many of the traditional design trade-offs of data management systems. Therefore, data management problems must be revisited to account for the new design space. In this tutorial we survey recent developments in GSDM focusing on identifying fundamental challenges and advancements in addition to open research opportunities.
URL for the Slides:
Faisal Nawab is a doctoral student at the University of California at Santa Barbara. His current research work is in the areas of global-scale data management, big data analytics, and data management on emerging non-volatile memory technology.
Divyakant Agrawal is a Professor of Computer Science at the University of California at Santa Barbara. His current interests are in the area of scalable data management and data analysis in Cloud Computing environments, security and privacy of data in the cloud, and scalable analytics over big data. Prof. Agrawal is an ACM Distinguished Scientist (2010), an ACM Fellow (2012), and an IEEE Fellow (2012).
Amr El Abbadi is a Professor of Computer Science at the University of California, Santa Barbara. Prof. El Abbadi is an ACM Fellow, AAAS Fellow, and IEEE Fellow. He has served as a journal editor for several database journals and has been Program Chair for multiple database and distributed systems conferences. Most recently Prof. El Abbadi was the co-recipient of the Test of Time Award at EDBT/ICDT 2015.