WITHDRAWN: Big Data Service in Distributed Network Environment Based on FPGA

Abstract

In a distributed network environment, due to its ability to provide resources through different locations in the world's high-speed network, it has become the choice of a cost-effective and popular, to achieve high-performance big data services. However, the dynamics and the availability of resources caused by different administrative domains resource management faces many challenges. Compared with the simulation software, it provides a fast simulation speed FPGA-based evaluation platform, which allows us to test the performance and application of power in real life / thermal management policies. This article describes the study is designed to support multi-core run-time distributed embedded systems power / thermal management FPGA-based emulator. The existing big data at hand dispatches the data center's high power energy consumption in a distributed network environment to satisfy customers, the supplier's profitability, and the important evaluation of FPGA services performed by FPGA. Based on the distributed network environment, the purpose of EWBNES (Environment Workflow Based Network Effect Scheduling Algorithm) is to increase the system throughput through resources, customers' successful application allocation according to their requirements to complete the best use of big data services and the amount of distributed network environment. It was observed that resource management market-oriented and arranged efficiently scheduled network environments, scalable, are implemented decentralized.