Investigating Topology Optimization Techniques for Enhancing Network Performance in Cloud Computing Environments

In this paper, a literature review of network optimization of cloud services and the improvement achieved in terms of performance is presented. The measures that are used in this regard were latency, throughput, utilization, packet loss, energy consumption, fault tolerance and the time the network took to recover. Optimization strategies enhance the general latency; on average from 120 ms to 85 ms = 29.17% and the throughput, increasing from 7.5 Gbps to 9.3 Gbps = 24%. A variation in the bandwidth usage from 65% to 85% was noticed (an enhancement of 30.77<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>) and a decrease in percentage of packets lost from (3.2% from 56.25<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>) to 1.4%. As with energy efficiency, it rose from 0.0028J/ bit to 0.0019J/ bit, altogether an improvement of 32.14% while the fault tolerance also improved from 85% to 92%, an improvement of 8.24%. However, the enhancement of the overall network recoveries within this project layout saw the utilisation of the slope of the recovery time within the network recovery be reduced by 46.67%, and this knocked off 8 seconds from the previous 15 seconds used in this process. The findings outlined and discussed here therefore point to the fact that while there is need to advance targeted optimization strategies for network performance, reliability, and efficiency in cloud computing settings and use contexts as above, in terms of utilization and utilization experience.