Abstract
Efficient data processing is extremely important for the development of modern communications. Modern communication networks require high-performance data processing facilities to support the data transfer process itself (using virtual network functions), Big Data analytic, and new applications (such as vehicle-to-vehicle communications, virtual and augmented reality, etc.). Among the requirements for data processing in communication networks are high processing rate and low latency, any-time availability, and energy efficiency. Within this academic demonstration, we present an experimental analysis of several energy-efficient approaches to distributed workload processing in communications networks with the focus on the PCPB-2 algorithm proposed by the authors in the related study. We also provide a short overview of this approach within this description.
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