Cluster Based Real Time Scheduling for Distributed System

Abstract

Real time tasks scheduling on a distributed system is a complex problem. The existing real time tasks scheduling techniques are primarily based on partitioned and global scheduling. In partitioned based scheduling the tasks are assigned on a dedicated processor. The advantages of partitioned based approach is existing uni-processor scheduling techniques can be used; no migration overheads but task assignment is NP hard problem and optimal utilization of processing nodes is not possible. In global scheduling all tasks are maintained in a single tasks queue and allocated to multiple processing nodes. The advantage of global scheduling is optimal utilization of processing nodes but suffer from high migration and preemption overheads. This paper proposed cluster based real time tasks scheduling on a distributed system which is a hybrid scheduling approach where processing nodes group into cluster and scheduling using global scheduling. The simulation result shows that the proposed scheduling increases the tasks acceptance ratio, resource utilization as compared to partitioned and global scheduling and reduces migration as well as preemption overheads.

A Case Study of Implementation Strategy for Performance Optimization in Distributed Cluster System

“…Distributed System Cluster (DSC) is the grouping or merging of uniform functions from nodes/servers/VMs, aiming to enable applications to process data simultaneously with large and fast capacities (Talmale, 2021), (Mohd, 2001), (Cheng, 2018). The large capacity is achieved through the distribution of tasks within the cluster system.…”