Program: Keynotes
Keynote Talk -- Tuesday, May 27
Dr. Farnam Jahanian, the National Science Foundation Assistant Director for the Computer and Information Science and Engineering (CISE)
The Transformative Impact of Computing and Communication in a Data-Driven World
Abstract: We are witnessing unprecedented growth of scientific and social data, deep integration of the cyber and physical worlds, wireless connectivity at broadband speeds, and seamless access to resources in the cloud. These advances are transforming the way we work, play, communicate, learn, and discover. Investments in ambitious, long-term research and infrastructure, as well as in the development of a workforce empowered by computation and data, enable these advances and are a national imperative. This talk will focus on the technological advances and emerging trends that are shaping our future and accelerating the pace of discovery and innovation across all science and engineering disciplines. It will also describe how these trends inform priorities and programs at National Science Foundation.
Short biography: Dr.
Farnam Jahanian leads the National Science Foundation Directorate for Computer and Information Science and
Engineering (CISE). He guides CISE in its mission to uphold the Nation's leadership in scientific discovery
and engineering innovation through its support of fundamental research in computer and information science and
engineering and of transformative advances in cyberinfrastructure. Dr. Jahanian is on leave from the University
of Michigan, where he holds the Edward S. Davidson Collegiate Professorship and served as Chair for Computer
Science and Engineering from 2007 - 2011 and as Director of the Software Systems Laboratory from 1997 - 2000.
His research on Internet infrastructure security formed the basis for the Internet security company Arbor Networks,
which he co-founded in 2001 and where he served as Chairman until its acquisition in 2010. He has testified before
Congress on a broad range of topics, including cybersecurity and Big Data. Dr. Jahanian holds a master's degree
and a Ph.D. in Computer Science from the University of Texas at Austin. He is a Fellow of ACM, IEEE and AAAS.
Keynote Talk -- Wednesday, May 28
Abstract: Today, big and small organizations alike collect huge amounts of data, and
they do so with one goal in mind: extract "value" through sophisticated exploratory analysis, and use it as the basis to make decisions as varied as personalized treatment and ad targeting. Unfortunately, existing data analytics tools are slow in answering queries, as they typically require to sift through huge amounts of data stored on disk, and are even less suitable for complex computations, such as machine learning algorithms. These limitations leave the potential of extracting value of big data unfulfilled.
To address this challenge, we are developing BDAS, an open source data analytics stack that provides interactive response times for complex computations on massive data. To achieve this goal, BDAS supports efficient, large-scale in-memory data processing, and allows users and applications to trade between query accuracy, time, and cost. In this talk, I'll present the architecture, challenges, results, and our experience with developing BDAS, with a focus on Apache Spark, an in-memory cluster computing engine that provides support for a variety of workloads, including batch, streaming, and iterative computations. In a relatively short time, Spark has become the most active big data project in the open source community, and is already being used by over one hundred companies and research institutions.
Short Biography
Dr. Ion Stoica is a Professor in the EECS Department at University of
California at Berkeley. He received his PhD from Carnegie Mellon
University in 2000. He does research on cloud computing and
networked computer systems. Past work includes the Dynamic Packet
State (DPS), Chord DHT, Internet Indirection Infrastructure (i3),
declarative networks, replay-debugging, and multi-layer tracing in
distributed systems. His current research focuses on resource
management and scheduling for data centers, cluster computing
frameworks, and network architectures. He is an ACM Fellow and has
received numerous awards, including the SIGCOMM Test of Time Award
(2011), and the ACM doctoral dissertation award (2001). In 2006, he co-founded
Conviva, a startup to commercialize technologies for large scale video
distribution, and in 2013, he co-founded Databricks as startup to commercialize technologies for Big Data processing.Keynote Talk -- Thursday, May
29
Fault-Tolerance Techniques for Computing at Scale
Abstract: Resilience is a critical issue for large-scale platforms. This talk will survey fault-tolerant techniques for high-performance computing: - Overview of failure types and typical probability distributions - Brief discussion of application-specific techniques, such as ABFT - The standard general-purpose technique, checkpoint and rollback recovery - Recent extensions with replication, prediction and silent error detection - Relevant execution scenarios, evaluated and compared through quantitative models. The talk includes several illustrative examples and targets a general audience.
Short biography: Dr.
Yves Robert received the PhD degree from Institut National Polytechnique de
Grenoble. He is currently a full professor
in the Computer Science
Laboratory LIP at ENS Lyon.
He is the author of 7 books, 130 papers
published in international journals,