AN OPTIMIZED AND ARTIFICIAL INTELLIGENCE BASED TASK SCHEDULING IN PARALLEL CLOUD COMPUTING

In parallel computing, scheduling can be defined as a collection of laws in which execution order has been defined in detailed manner. To perform scheduling in parallel computing, multiprocessor is utilized and it required to arranging the resources for all processors. The problem of task scheduling can be utilized to finding or, searching the best allocation of distinguished task from available resources such as processors, computers to obtain desired aim. Task scheduling and managing the resources is the main challenge of parallel computing to resolve this issue, n this proposed work the DAG (Directed Acyclic graph) is used. To optimize the resources and scheduling of task better here the optimization algorithm is utilized named as Cuckoo Search (CS). After get the optimized task for classification purpose the neural network i.e. Artificial Neural Network (ANN) is applied here, by which it’s easy to allocation of resources to processes