OPC: An Effective Memory Computing Solution of Big Data For PC

摘要

The Big Data computing is one of hot spots of the internet of things and cloud computing. The memory computing is one of key factors of improving performance. Many companies and institutions provide technology and produce. But expensive cost and processing unstructured data are urgent to solve. To deal with the problem, this paper provides an effective memory computing solution with Objectification Parallel Computing (OPC) for PC. In the solution, the unstructured data and structured can be formatted into object. Then the objects are distributed stored in the computer memories and parallel compute to complete tasks. The OPC is applied to the Electric Asset Quality Supervision Manage System (EAQSMS) of State Grid of China, the result shows that with PCs the system is efficiently available, reliable, and flexible expansible.