Meta Scheduling Job Allocation for Reducing Workload in Cloud Service using Quality of Service Raman G R Anantha*,**, Dr. Sakthivel S***,*** *Assistant Professor, Adhiyamaan College of Engineering, Hosur, India **Research Scholar, Anna University, Chennai, India ***Professor, Sona College of Technology, Salem, India ****Research Coordinator, Anna University, Chennai, India Online published on 15 September, 2016. Abstract The cloud computing has become more complicated where the technology support increases in day to day basis. There are numerous strategies which had been measured for cloud computing but the huge amount parameter which affects the performance of cloud computing is scheduling and time complexity measures. The previous methods are focused towards scheduling jobs based on their priority measures. To propose a new scheduling approach this considers different attributes to schedule the workloads. The proposed method computes the multi-attribute weight for each job submitted based on meta-scheduling that will choose cloud servers which there are many jobs allotted but each has access to different resources. The importance is the availability of resource and utilization is highly performed in this proposal. We compute such a weight of job which is computed based on the access of attributes and their importance based on which the jobs are allocated. The proposed method has produced more scheduling performance and low time complexity. Top Keywords Cloud Computing, Multi-Attribute Scheduling, Parallel Computing, Prioritized Scheduling. Top |