Robust Energy-Aware Task Scheduling For Scientific Workflow In Cloud Computing

Cloud computing is an advanced computing model using which several applications, data and countless IT services are provided over the Internet. Task scheduling plays a crucial role in cloud computing systems. The issue of task scheduling can be viewed as the finding or searching an optimal mapping/assignment of a set of subtasks of different tasks over the available set of resources so that we can achieve the desired goals for tasks. In the proposed research methodology, the researcher has extended this technique using dynamic voltage fluctuation system (DVFS). By using DVFS, if further migration is not possible or the number of tasks running on the machine is going to compete, then migration further reduces the performance. In DVFS, the voltage given to under load machines has been reduced which further optimize the energy consumption to the next level. In the research, DVFS has improved the energy consumption without violating the SLA