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Virtual Supercomputer Using Volunteer Computing
Abstract
Invention of new computing techniques like cloud and grid computing has reduced the cost of computations by resource sharing. Yet, many applications have not moved completely into these new technologies mainly because of the unwillingness of the scientists to share the data over internet for security reasons. Applications such as Next Generation Sequencing (NGS) require high processing power to process and analyze genomic data of the order of petabytes. Cloud computing techniques to process this large datasets could be used which involves moving data to third party distributed system to reduce computing cost, but this might lead to security concerns. These issues are resolved by using a new distributed architecture for De novo assembly using volunteer computing paradigm. The cost of computation is reduced by around 90% by using volunteer computing and resource utilization is increased from 80% to 90%, it is secure as computation can be done locally within the organization and is scalable.
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