Request Expert

Expert has proposed algorithms for complex systems. Expert has developed comprehensive proof of concept for problems such as autonomic behavior of computing resources within a server farm. He has also written any necessary programs in languages such a C, C++, Python..etc.

Expert has a deeper level of understanding of the process of research and development in the area of complex biological systems. Expert extensively modeled the behavior of honey bees so as to be able to apply this discovery to computer systems. This entailed the development of standard benchmark algorithms from an operational research perspective such as Greedy, Omniscient and Optimal static, using techniques such as network flow models and solving them on optimization solvers such as CPLEX.

Using the results of his D.Phil.(Ph.D.) research involving an extensive study of self-organizing honey bee behavior, the expert developed a model of server farm infrastructure and autonomic algorithms inspired by this study of honey bee behavior.

Expert has applied models extrapolated from the research of honey bee behavior to propose computer resource management methodologies, within a datacenter environment. This involved the development of a robust self-organizing/healing algorithm to allocate servers when and where they are needed on an ongoing basis amongst multiple hosted web services. This also included an energy-aware algorithm to conserve energy when a data center is not experiencing heavy web traffic. Thus ensuring efficient server utilization.

Expert has extensive understanding and experience in analyzing existing complex systems. Through this analysis, expert has been able to model system behavior using standard scientific techniques (for example, Discrete Event Simulation (DES), Multi-Agent Simulation..etc.). This has led to the discovery of system inefficiencies and expert has proposed and developed algorithms to address such system
optimization problems.

Expert has the ability to create specialized models and tools that mimic the detailed behavior of real systems, encompassing companies, physical systems, processes and social networks etc., where their complexity renders them beyond the reach of traditional analytical approaches. Through the use of various listed skills and techniques, the expert is able to analyze and model complex business systems from a human and information technology point of view.

Expert extensively devised and implemented a verification regime to test a simulation model that was created by the expert, to validate against a real system.

Expert has worked on many challenging projects, designing various algorithms and systems whilst conducting research and development in different academic and industrial environments. This has included assignments in the USA, UK and India. Expert uses C, C++, Python, scripting etc. in algorithm and application development.

Expert has in depth knowledge of research and development in the area of complex biological systems. Expert has extensively modeled behavior of social insect such as honey bees so as to apply discovered insights to computer systems. In addition, expert has developed standard operational research algorithms such as greedy, omniscient and optimal static using techniques such as network flow model and solving them on optimization tools such as CPLEX.

Expert has extensive understanding and experience in analyzing existing complex systems. Through this analysis, expert has been able to model system behavior using standard scientific techniques such as Discrete Event Simulation (DES), Multi-Agent Simulation..etc. This has led to the discovery of system inefficiencies and expert has proposed and developed optimization algorithms to solve such problems.

Expert has modeled the behavior of social insects such as the complexity of individual and group behavior of honey bees in a colony. This work led to a major break through in the area of self-organizing, scalable and robust algorithms as applied to server resource management.

Expert has performed an extensive analysis of Video On Demand eco-systems and has developed simulation tools to model and test the next generation VOD system proof-of–concepts. This has given his client the ability to quickly prototype new algorithmic ideas and test their efficacy.

Expert has extensive understanding of parallel, high performance, scalable and distributed computing paradigms such as Parallel Virtual Machine (PVM), Message Passing Interface (MPI), Bulk Synchronous Parallel (BSP) and has applied this understanding to solving scientific problems.

Expert has deep knowledge of virtualization technology, service layers (PaaS, IaaS, SaaS). Expert has spent a significant amount of time conducting research into emerging state-of-the-art Cloud Computing Technologies at various startup companies and current offerings such as Amazon Web Services (AWS), Microsoft Azure, Google App Engine. Expert has led a group of researchers, architects and developers for a major cloud computing initiative for a large international corporation. Specific areas of focus has included Auto-Scaling of Virtual Machines, storage cloud, virtual private cloud etc.

He established and lead the Cloud Computing Research Group at a System Research Laboratory. Responsible for defining research vision and theme for the cloud domain, writing research proposals, managing a team of researchers, software developers and university interns, engaging with academia for joint research and collaborating with emerging cloud technology start-ups in the Silicon Valley.He established and lead a research program for Video On-Demand (VOD) computing. Analyzed VOD cache management algorithm, created a mathematical model for the algorithm and implemented a simulation model. Analyzed VOD user behavior in terms of diurnal pattern and heavy tail access distribution, created and implemented simulation model for various user behavior patterns. Modeled existing and emerging VOD technology infrastructure for proof-of-concept prototypes and comprehensive performance studies. In depth analysis of performance results and recommendation for optimization. Authored industry white papers and presented at conferences. Closely liaised with system/software architects, product managers, CTO and vice president of engineering to grasp technology/business goals and provide research strategy for their attainment.He worked on software design, implementation and consulting in core areas of high performance scientific and Technical computing (clients included UK weather center, Shell Oil, British Petroleum, National Electric Grid etc.). Defined and implemented strategies for increasing competitiveness of IBM technology. Engaged clients and provided technology expertise on the computing platform, architecture and applications. Demonstrated technology superiority through prototyping, porting and optimizing legacy applications to IBM technology. Provided technical leadership and managed relationships with external software vendors developing key domain applications using IBM technology.He has advised Silicon Valley start-up companies such as AdMaxim LLC, in the area of revenue optimization for online advertising algorithms.