Being Smart: The Role of Timely Analytics
Prof. Krithi Ramamritham,
Professor in the Department of Computer Science and Engineering, IIT Bombay


These days, unless something has the epithet "smart" attached to it, it is nothing. Smart Energy solutions promise cleaner, cheaper and more reliable energy. Smart Cities promise better quality of life for its citizens. We will argue that for a "system" to be SMART, it should Sense Meaningfully, Analyze and Respond Timely. Using real-world examples from the domains of Smart Energy and Smart Cities, this talk will illustrate the central role of data in being SMART.


Prof. Krithi Ramamritham is Professor in the Department of Computer Science and Engineering, IIT Bombay and he currently heads IIT Bombay's new Center for Urban Science and Engineering.

His research explores timeliness and consistency issues in computer systems, in particular, databases, real-time systems, and distributed applications. His recent work addresses these issues in the context of sensor networks, embedded systems, mobile environments and smart grids.

He holds a Ph.D. degree in Computer Science from the University of Utah.

Prior to IITB, he had a long stint at the University of Massachusetts.

During the last few years he has been interested in the use of Information and Communication Technologies for creating tools aimed at socio-economic development.

He is recipient of the 2015 Outstanding Technical Contributions and Leadership Award from the IEEE Technical Committee for Real-Time Systems and IEEE’s CEDA Outstanding Service Award.

He has been associated with the editorial board of various journals. These include IEEE Embedded Systems Letters and Springer's Real-Time Systems Journal (Editor-in-Chief), IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Mobile Computing, IEEE Internet Computing, ACM Computing Surveys and the VLDB (Very Large Databases) Journal.


Realizing Network Function Virtualization: What networking can learn from the cloud and vice-versa
Prof. Sylvia Ratnasamy
, University of California, Berkeley, USA.

Sylvia Ratnasamy Photo


By moving advanced network functions from proprietary hardware to software, Network Function Virtualization (NFV) promises to bring the advantages of cloud computing to network traffic processing. Network carrier companies have enthusiastically embraced the NFV vision as a means to reducing costs and enabling new revenue-generating services. However, despite intense carrier interest and widespread industry efforts, the pace of deployment of NFV services has been glacial. The heart of the problem is that solutions from traditional cloud contexts often fail to meet the stringent performance and availability requirements of carrier workloads leading to complex efforts at retrofitting and/or optimizing existing system designs for the NFV context.  In this talk, I will argue that we need to approach NFV from a clean-slate and describe novel system architecture for NFV that is capable of achieving both high performance and rich programmability. 


Sylvia Ratnasamy is an Assistant Professor of Computer Science at the University of California, Berkeley, whose work focuses on the design and implementation of networked systems.

She received her PhD in Computer Science from U.C.Berkeley in 2002.

She is a recipient of the ACM Grace Murray Hopper award, the ACM SIGCOMM Test-of-Time award, the ACM SIGCOMM Rising Star award and the Alfred P. Sloan research fellowship.


Emergence of the Data-driven Enterprise
Dr. Sandeep Uttamchandani,
Chief Architect, Cloud and Big Data Storage at VMware, USA


Rapid disruption has become a norm for every industry! Some popular examples are Uber, Airbnb, Tesla that are disrupting the transport, hotel, and car manufacturing industries respectively. So, what stops a new startup from becoming another Uber or Airbnb? Besides the network effects, one of the key barrier to entry is the data analytics and insights these companies are able to extract from large-scale day-to-day operations. Today, Big Data analytics has become a must-have building block for every organization. In this talk, I will cover the past, present, and future of platform technologies (compute, storage, network), and their interplay fueling data analytics innovation for Batch (Hadoop), Interactive (SQL, NoSQL), and Stream (Spark) processing.  As the technical community, our goal is to be at the forefront of this important industry transformation -- this talk aims to cover the landscape of opportunities to get involved.


Sandeep is a disruptive innovation leader specializing in developing enterprise products and services.  With nearly two decades of industry experience, Sandeep has been involved in successfully transforming technology shifts into products and services. More recently, he is an intrapreneur at VMware, defining the next Big Data Platform that enterprises can deploy and scale seamlessly across on-premise and public cloud.

He holds a Masters and PhD in Computer Science from University of Illinois at Urbana Champaign (UIUC). 

He has 35+ issued patents, 28+ publications in key systems conferences. Prior to VMware, Sandeep served several key roles as developer, Chief Architect, and Strategist at IBM Research, and also at IBM GTS where he helped define architecture for several Fortune 100 customers. Sandeep is also an advisor to several startups, and a regular speaker at meetups and conferences.