No abstract

A CPU is the very important part of the computer system; hence it must be utilized efficiently. When the demand for computing power increases, then scheduling problem becomes very important. The problem of task scheduling and load balancing are most important and challenging area of research in computer engineering. Task scheduling can be defined as allocating processes to processor so that total execution time will be minimized, utilization of processors will be optimized. Load balancing is the process of improving the performance of system through a redistribution of load among processor. In this paper, the performance analysis of various task scheduling algorithms based on different qualitative parameters is presented. The analysis indicates that task scheduling algorithms have some advantages as well as disadvantages. The main purpose of this paper is to help in design of new scheduling algorithms in future by studying existing task scheduling algorithms.

No abstract

No abstract

Quality-of-service (QoS) is very important issues in load balancing and task scheduling process in distributed network system. The non-efficient load balancing and task scheduling algorithm decreases Quality-of-service (QoS) parameters like schedule delay, energy consumption, throughput etc. In this research paper, we proposed QoS improved load balancing frameworks for wireless networks (WNs). We improve QoS of distributed frameworks by using particle swarm optimization and cuckoo search method. The proposed technique improves QoS, such as energy consumption, latency, throughput, network life time. Keywords: wireless networks (WNs), load balancing, task scheduling, particle swarm optimization (PSO), cuckoo search (CS) I.INTRODUCTION A Distributed Network System can be viewed as a collection of computing and communication resources shared by active users [2][3]. The distributed network system can be classified into cloud computing, cluster computing, P2P system, grid computing etc. In distributed network systems the management of resources and applications is a very difficult task [1]. Resource sharing is the most important features of distributed system. The applications of distributed networks are internet, telecommunication networks and computer networks etc. When the demand for computing power increases, the load balancing and task scheduling problems becomes very important. The load balancing and task scheduling in distributed network system are most challenging research area in computer science and engineering. Load balancing and task scheduling in distributed network system has an important role in overall quality of service (QoS). Task scheduling in distributed system can be defined as allocating processes to processor so that total execution time will be minimized, utilization of processors will be optimized. Load balancing is the process of improving the performance of system through a redistribution of load among processor. In this research paper, we proposed QoS improved load balancing frameworks for wireless networks (WNs). We improve QoS of distributed frameworks by using particle swarm optimization and cuckoo search method. The proposed technique improves QoS, such as energy consumption, latency, throughput, network life time.