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
Mr. Viju Chacko
Lead Architect, Tata Consultancy Services (TCS)
How BigData Technologies are going to change the future of Enterprises worldwide
Data and Information forms the blood of today's enterprises. Overtime both storage and processing capacities of enterprises have grown multi-fold, so do enterprise capability to leverage data to make more intelligent decisions. The tutorial would start with a brief peek into the history of data processing within enterprises, and would briefly touch upon different data and storage systems within the enterprises followed by an introduction to Big Data Technologies, and its current landscape. Post Introduction, the tutorial would deep dive into one popular Big Data Platform; Hadoop. Three areas of Hadoop would be explained in details;
a) Hadoop Distributed File System
b) Hadoop MapReduce Programming Protocol
c) Hadoop as a BigData Platform
The Tutorial would continue to explain the Fitment of Big Data Platforms within Enterprises, followed by details around the future of the data landscape within a typical enterprise. The session would conclude pointing to some of the drawbacks of the platform; and areas these Big Data platforms thrive to improve upon.
Cochin University of Science and Technology
Topic: R for Data Scientists
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure development environment for R; discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in data analysis which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, writing simple R functions. The participants may also practice the skills learned by solving a case study at the department's computing lab.
Umesh Bellur, PhD
Professor, Department of Computer Science, IIT Bombay, India
Topic: Resource Balance Based VM Placement
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.
Ullas Nambiar, PhD
Lead Scientist, CeTI, EMC India & Adjunct Faculty, IIIT Delhi
Topic: It’s SMAC Time
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.
Mathew Palakkal, PhD
Professor & Associate Dean, School of Informatics and Computing , Indiana University-Purdue University Indiana Polis, IN, USA
Topic: Digital Information Accessibility for the Blind and Visually Impaired
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.”
Mr. Vijay Nair
Chief Technology Officer, Assyst International Pvt. Ltd.
Topic : Open Data and Open Government : Bringing the Government to the peopleeGovernment or egovernance has brought a variety of government services to the people, making these services accessible and available to the general population. People now are able to interact with and avail of a variety of Government services in a transparent and seamless manner. However, another aspect of the Government – the actual governance in the large, is very opaque to the common man. While the government publishes large volumes of data – Economic surveys, Legal and healthcare data; and lot of other data; these are still difficult to access for the lay public. With the advent of internet and better visualization and reporting tools, it became possible for such data to be placed in the hands of the user, with tools to analyze and visualize the data. Open Data and Open Government has become an important tool for governments, citizens and civil society to collaborate to produce a more transparent, effective and efficient government. In this tutorial, we look at the underlying principles of Open Data, and some of the open source tools used to manage the same.
D. Sivananda Pai, PhD
Scientist 'E' & Head, LRF Division
National Climate Centre, O/o ADGM (R), India Meteorological Department , Pune
Topic: Recent Developments in the Weather and Climate Information Services in India
Weather and Climate services refer to the provision of weather and climate information for supporting decision making. Climate services are crucial as climate variability and change are posing significant challenges to societies worldwide. Therefore, timely communication of such information helps prevent the economic setbacks and humanitarian disasters that can result from climate extremes and long term climate change. India is subject to several kinds of meteorological hazards which may endanger lives of its citizens, whether they come in the form of drought, heat waves, monsoon, floods, thunderstorms, or tropical cyclone. Many sectors of Indian economy like agriculture, aviation, hydrology, power and energy, shipping, tourism etc. is highly dependent on weather and climate. Weather and climate information services play a crucial role in the national development planning for managing development opportunities and risks and for mitigation and adaptation. Efficient application of weather and climate services requires that such information become integrated into various sectors’ policies. Meteorological Department (IMD) established in 1875 is the National Meteorological Service provider of the country and the principal government agency in all matters relating to meteorology, seismology and allied disciplines and provides weather and climate services to different sectors. Recent initiatives and achievements in the various components of the integrated weather and climate information system in the country such as weather/climate observation network, communication network, forecasting techniques and facilities, public weather services, climate information services etc. have been discussed here. These include modernization of its infrastructure to deliver value added services, which encompass refurbishing and enhancing its Observational capability, Forecasting techniques and Communication facilities, Implementation of Global Forecast System (GFS) model at resolution (35 Km) at Delhi on High Performance Computing Systems (HPCS) to generate seven days forecast, Implementation of high resolution regional model at different centres of IMD, operationalisation of Multi-Model Ensemble (MME) extended range forecasts, Installation of Central Information & Processing System (CIPS) at IMD, New Delhi, Introduction of Climate Data Management System (CLISYS) at IMD Pune and IMD Delhi, integrated Agro-meteorological Advisory System at District level, Introduction of Public Weather Service (PWS), monsoon monitoring and forecasting services with dedicated monsoon page on IMD website, fog monitoring and forecasting services for Palam Airport in Delhi with live RVR, Special weather forecasting services for the Commonwealth Games 2010 over Delhi NCR, Installation of Doppler Weather Radars at Delhi and Hyderabad, Seismic Microzonation study of National Capital Territory, Delhi, Introduction of GPS Radiosonde in the upper-air observations. India has a long history of providing weather and climate information services.