Hill-climbing based Virtual Machine Adaptive Fault Tolerance for Online Tasks in Cloud Computing

摘要

although cloud computing is a new model of computing with a lot of benefits, it has difficult challenges to be resolved in order to enhance the performance of cloud environment. The most important from these challenges are related to power consumption, load balancing management, fault tolerance and different security issues. In this research, the essential interest is the cloud computing fault tolerance based on load balancing. Load balancing is the technique of distributing the work load among various virtual machines (VMs) of the cloud to avoid the situation where some of the resources are heavily loaded and others resources are unemployed. There is also a necessity and a growing demand for fault tolerance to fulfill the availability and reliability because the use?s services are processed remotely on cloud resources. This scenario may results in more chances of errors and missing control over cloud VMs. The main goal of this research is proposing a hillclimbing scheduling algorithm based on load balancing and adaptive virtual machine (VM) reliability. Experimental results clarifies that the proposed algorithm increases the overall performance by reducing the degree of imbalancing between available VMs, and distributes the tasks on the ready VMs based its reliability.