IEEE Conference Number : 32781


The rapid development of computer science and information technology in the last couple of decades has generated massive amount of data and fundamentally changed every field in science and engineering. Many disciplines are now rich in data and tend to adopt data science or data-intensive engineering methodologies to do research and development. Scientific approach to process data involving the engineering aspects as well, would lead to major strides in the domains of data, information and knowledge which contribute to the evolving knowledge society. This conference is intended to take stock of the trends and developments in the globally competititve environment as well as to provide indicators for future directions to researchers and practitioners

Topic: Resource Balance Based VM Placement 

Umesh Bellur, Ph.D

Professor, Department of Computer Science, IIT Bombay, India


Abstract: To date, virtual machine (VM) placement has traditionally been viewed as a bin packing problem where a number of virtual machines need to be placed on a given number of physical machines. The goal of this approach is to minimize the number of physical machines used or maximize the tightness of packing. However, the resource utilization of VMs is dynamic unlike static artifacts in the bin packing problem and varies with the workload being handled by applications on the VM. This means that tight packing may result in a situation where the applications run out of resources needed to handle the workload since there is no room to expand. This will trigger a VM migration to find another PM having sufficient resources to allow the VM to expand. Migration is an expensive process both in terms of the resources needed for migration as well as in terms of the degradation of application performance during migration. A simple solution to this is to simply provision every VM for it's peak usage - however this results in wasted resources since peaks occur rarely and only for short amounts of time. This approach is one of very loose packing which is inefficient but provides stability of the VM in the context of migration. What we need is a balance between the tightness of packing (to optimize the number of physical machines used) and VM stability (to optimize the number of the migrations resulting from a given placement). In this talk I will present a metric to quantify this notion of balance and an algorithm to place VMs so as to minimize "imbalance". We show through extensive simulations that balanced placement is not so loose as to be unacceptable while giving us good stability as measured from the number of resource violations that would occur with a given placement.

Topic: It’s SMAC Time

Ullas Nambiar, PhD

Lead Scientist, CeTI, EMC India & Adjunct Faculty, IIIT Delhi


Abstract: The Information Technology world is going through yet another transformation. The underlying technologies of this transformation have been characterized as SMAC (Social, Mobile, Analytics and Cloud), and the confluence of these technologies is causing major shifts. For example, while data complexity is increasing due to volume, variety, velocity, and veracity, mobile and handheld devices combined with interaction and visualization technologies have become ubiquitous and making the data more consumable. At the same time, the proliferation of sensors and smart phones is making it possible for businesses and organizations to collect and leverage contextual information in real-time for various purposes ranging from public safety to retail. This talk will introduce SMAC and the huge potential for change it brings to emerging economies.

Topic: Digital Information Accessibility for the Blind and Visually Impaired

Mathew Palakkal, PhD

Professor & Associate Dean, School of Informatics and Computing

Indiana University-Purdue University Indiana Polis, IN, USA

Abstract: For people with visual disabilities, digital information can be difficult or nearly impossible to access, navigate and use constructively. Where the sighted population can easily scan the digital resources for information on education, communication and entertainment, the blind or visually impaired (BVI) must rely on commercial text-to-speech engines that are extremely burdensome, requiring them to listen to great amounts of superfluous information on the way to the content they seek. With so much current and historical content in science, technology, engineering and math (STEM) available digitally, and the need to access this content has become a necessity for educational and professional growth, there is an urgent need to develop technologies to seamlessly integrate the blind and visually impaired with such resources. To help alleviate this problem we are working on an auditory interface that operates through a combination of sound cues called audemes to signify the digital content. The data and interpretations generated in the process of developing the proposed system will provide insight into the perceptual, cognitive and aesthetic dynamics of acoustic experience and how it contributes to our comprehension of the world at large, as well as how acoustic stimuli either construct or constructed by knowledge hierarchies. Further, this research will contribute to increased understanding of memory and acoustic stimuli, as well as how acoustic cues can be arranged in virtual structures to form the acoustic equivalent of the classical “memory palace.”