Bridging Academia and Industry for Green Data Centers

1. Visit to • Agenda: • IBM – Academia • Green Data Center (GDC) • .. If interested • Math Mathics & CS • Data Scientist – Scope Mekala V Reddy Business Operations Leader, IBM Cloud Innovation Labs-AP & India, Ops Lead for CAM, PureApp, UrbanCode http://mekalareddy.blogspot.in/eMail: mekala.reddy@in.ibm.com @mekalavreddy https://www.ibm.com/developerworks/community/groups/community/mekalareddy 24 Apr 2018

2. Academia and Industry collaboration Guidelines: True cooperation is very difficult, because academic & industrial behaviours & motives are so different. Many academics have little to no contactwith the industry Financial matters can often become sticking points in any collaboration Academia and industry share a symbiotic relationship. Collaboration should be based on friendly manner with industry. Discussion should be based on equal partnership Academia produces graduates who are absorbed by industry. Research work in universities are taken up by the industry and turned into products and services. [Academia can be an excellent source of new ideas ] Industry on the other hand looks to academia for solutions to their concerns. Industry can participate in collaboration with academia through Train the Trainer (Faculty) programmes, course curriculum review, internship for students, technology updates, support in establishing laboratories and research projects.  Academia can create contacts in Industry through: Former students Through industry representatives. Via academic activities like seminars and trainings (play a major role) http://www.research.ibm.com/university/

3. DC is a repository for the storage, management, and dissemination of data in which the mechanical, lighting, electrical, AC and computer systems are designed for maximum energy efficiency and minimum environmental impact. • IBM Operate ~60 Cloud Data Centre's across Globe (20 countries) • DC consume 50 – 80 times more power than normal office space – Per Sqft • 70% of DC costs are Energy costs • Solar power is ideal (natural source) for DC Power : eliminates AC-DC conversion wastage ~10% • Other unique techniques: Optimize AC area, Water cooling, • IBM Software labs setup 50-kw roof-top, to power 20-25% of DC requirement (5 hours of DC need/day) • GDC: IBM & Indian Green Grid Group (IG3) jointly developed AP’s one of the largest DC (~2010 time frame) • GDC: Design characterized by Energy efficiency, Green technologies, Scalability, latest Power & cooling techniques Green Data Centre (GDC) Green Data Centre Technologies • Hot & Cold Aisle Containment • Reusing waste heat • Ultrasonic humidification • Evaporating Cooling We just need 12 volts • Low power Servers • Modular Data Centers • Free Air Cooling Top companies who own Secure & Reliable DC’s in India NetMagic Solutions (NTT) with 7 DC’s CntlS : 4 DC’s with 1L sqft , 8 zone Security Sify: 1st Indian co. to setup their own. Z level Security Reliance: 9 DCs ; 2.65 L sqft – 350 firewalls ; 1600 tb/day transfer data, 99.99% uptime Tulip Data City: 9L sqft space, (Asia’s largest) BSNL SIS – Hyd GPX ; Net4 ; Web Werks ; Tata communications DC Focus : Business Continuity & Scalability Disaster Recovery Data Backup & Recovery Security DC Services Cyber Resilience • Power Usage Effectiveness (PUE) • <1.5 is Efficient Carbon Usage Effectiveness (CUE)

4. Computer Science Sciences Computer Science Mathematics Pure Computer Science Applied Computer Sci • Computer Science • Algorithms & Data Structures • Information Science • Information & Coding Theory • Health Informatics • Data Bases • Formal Methods • Programming & Language Theory • Programming & Language Theory • Software Engineering Prog. Language Compiler Design Type Theory • Computer Architecture & Engg. • Comp. Performance Analysis • Computer Networks • Theory of Computation • Computer Security & Cryptography • Comp. Graphics & Visualization Automate Theory Computability Theory Computer Complexity Theory Cryptography Quantum Comp. Theory • Concurrent Parallel, Distributed Systems • Artificial Intelligence Robotics; NLP Medical Image Comp Knowledge Representation Information Retrieval Evolutionary Computation Data Mining Cognitive Sci., Pattern Recognition Image Processing Machine Learning • Mathematics: Study of Quantity, Structure, Space, Change** • Pure Mathematics: Quantity, Structure, Space & Change • Applied Math's: Statistics & Computer Science • ** i.e. arithmetic, algebra, geometry, and analysis • Computer science is the scientific and practical approach to computation and its applications. • Applied (Industrial) Comp. Science: Concepts that can used directly in solving real world problems

5. Data Scientist / Analyst Definitions: : A person employed to analyse and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making. Def # N: “A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.” Technical Skills ML Tools Data Mining, Cleaning & Munging Data Visualization / Simulation UnStructured Data Techniques BigData Platforms-Hadoop, Pig, Hive R & SAS Languages SQL / RDBMS/MDM Python, C++/Java, Perl Cloud Tools- S3 Maths Statistics S/W Engineering Soft InterpersonalProgramming Decision Making Data Scientist Skills How to read the Data Science Venn Diagram Reference: https://mjvreddy-jobopenings.blogspot.com/2018/07/data-scientist.html

6. Finally, learn the art of – ‘Work Life Integration’ Loss of Sleep Mekala V Reddy Business Ops Leader, IBM Cloud Innovation Labs, IBM India Pvt Ltd Mail ids: mjvreddy@gmail.com mekala.reddy@in.ibm.com twitter: @mekalavreddy Thank you !!