Improving the Efficiency of IPv6 Network using High Performance Computing Techniques

Abstract

The deployment of IPv6 networks has seen substantial expansion, which has made it necessary to improve quality of IPv6 addressing using metaheuristic mechanisms and to enhance Quality of Service (QoS) standards in order to meet the ever-increasing demand. Thus, the fundamental approach is to provide a novel method to improve IPv6 addressing using hybrid bio-inspired algorithms using Genetic Algorithm (GA), Particle Swarn Optimization (PSO) and Ant or Bee Colony Optimization (A/BCO) methods. As a direct result of this, effective algorithms are necessary in order to improve the functionality of these networks. An examination of temporal performance is used to show the design of an effective Deep Dynamic Q Network (DDQN) with the use of reconfigurable blockchain, which aims to improve quality of service levels and security in IPv6 deployments. The DDQN method make use of a neural network to approximate the Q-function. newlineDDQN algorithm is able to optimize important QoS metrics like as delay, throughput, Packet Delivery Ratio (PDR), and energy usage by quickly exploring the solution space sets against the mentioned attacks. This holistic strategy makes it possible to make significant improvements in Quality of Service in IPv6 networks. newlineThe performance of the proposed method is analyzed and compared to that of previous Q-learning-based algorithms by using simulations of IPv6 networks as the testing environment. The findings show that the quality of service (QoS) levels have been significantly improved, as seen by enhancements in delay, throughput, PDR, and energy newlinexx newlineusage respectively. These data demonstrate that the suggested method is successful in improving the performance of IPv6 type of networks in the real world. newlineThis study makes a contribution to the area of IPv6 network optimization by tackling the issues connected with QoS improvement. This is accomplished by applying the DDQN algorithms in conjunction with one another. The suggested approach offers an all-encompassing framework for analyzing and bettering temporal performance, which, as a consequence, leads to IPv6 installations that are both more efficient and dependable. This need for high-performance networks is expected to continue to expand in the coming years and processes. newline