Abstract-The entire networking society is tremendously moving towards the IPv6 addressing architecture leaving behind the IPv4 address space. This happens due to the tremendous growth of Internet usage over the networking. The government has mandated that all the devices would be IPv6 compatible as the delay in the deployment of IPv6 would result in the negative impact of future growth and global connectivity of the internet. In this paper we are dealing with the impact of different interfaces like IPv4 only, IPv6 only and Dual stack mechanism over wireless networks with varying PHY and MAC layer interface of 802.11 a/g and 802.11 b standards. The results are simulated over Qualnet 5.1 simulator with various parameters like throughput, delay, jitter and packet delivery ratio is been calculated.
Abstract:As the cloud computing technology is gaining popularity with time, more and more users and applications are shifting towards it. This is why clouds are experiencing high load, which demands for load balancing of user tasks submitted to cloud for execution. This makes load balancing of non-preemptive tasks a key issue in cloud computing. Superior task scheduling leads to balanced loads among cloud nodes, which results in faster execution of tasks. Task scheduling in cloud environment is an instance of NP-hard optimization problem. When few nodes in a cloud are overloaded whereas other nodes are under loaded then in such situation the performance of overloaded VMs is diminished. It demands a task scheduling so that the incoming tasks can be distributed uniformly across virtual machines (VMs) for proper utilization of available resources. In this study, we propose a novel load balancing algorithm named Viral System Based Load Balancing (VSB-LB) algorithm, which is based on bio-inspired viral system algorithm that distributes the tasks uniformly among VMs. The proposed algorithm is compared with basic load balancing algorithms such as First Come First Serve (FCFS), Weighted Round Robin (WRR) as well as newer bio-inspired Load balance Aware Genetic Algorithm (LAGA) to show its effectiveness. Simulation results proved that VSBLB outperforms FCFS and WRR and LAGA for performing load balancing.
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