An infrastructure for embedded systems using task scheduling

Abstract

Task scheduling in heterogeneous environments such as cloud data centers is considered to be an NP-complete problem. Efficient task scheduling will lead to balance the load on the virtual machines (VMs) thereby achieving effective resource utilization. Hence there is a need for a new scheduling framework to perform load balancing amid considering multiple quality of service (QoS) metrics such as makespan, response time, execution time, and task priority. Multi-core Web server is difficult to achieve dynamic balance in the process of remote dynamic request scheduling, so it is necessary to improve it based on the traditional scheduling algorithm to enhance the actual effect of the algorithm. This article do research on the multi-core Web server, Focusing on multi-core Web server queuing model. On this basis, the author draws the drawbacks of the multi-core Web server in the remote dynamic request scheduling algorithm, and improves the traditional algorithm with the demand analysis. Not only it overcomes the drawbacks of traditional algorithms, but also promotes the system threads carrying the same amount of tasks, and promotes the server being always in a dynamic balance. On the basis of this, it achieves an effective solution to customer requests.

Introduction

Multi-core Web server is an inevitable trend under the premise of rapid development of computer network technology. The server has a higher system processing capabilities, can effectively improve the performance of computer systems, and can achieve a variety of remote request service [1]. Modern computer networks have been closely linked to people's lives, but need to combine a variety of technologies in the actual work, and promote people's lifestyles continuing to change on this basis [2]. The current multi-core Web server only focus on static analysis in the process of problem analysis, and did not pay attention to the effective control of remote dynamic requests. It will be difficult to achieve effective control of the computer system in this context. Some of the current Qos-based requests can not be effectively executed in the Web server, and can not be processed in order in the process of processing problems, so it will often lead to progress issues in a large number of related requests processing process.There is necessary to improve the original dynamic request scheduling algorithm based on the need for such problems [3].

People study the remote dynamic request scheduling algorithm based on multi-core Web server, and try to improve the remote dynamic request scheduling process. Through more advanced algorithms, many universities and scientific research institutions in China are fully analyzing the Web remote connection technology. For example, In China's Xi'an Jiaotong University, there is a Web server-based molding processing technology system, the technology can be remotely requested by the process of processing, and can achieve rapid data exchange [4]. The Web server technology is applied to the remote intelligent monitoring, and on this basis, it can build a monitoring system which can be used in the industrial system [5]. The experts and scholars of Chinese Academy of Sciences have also studied the system and developed an intelligent system which can be used for water source monitoring. It can also make corresponding requests through the dynamic request scheduling algorithm contained in the system and further improve the system performance [6]. The current multi-core Web server remote dynamic request scheduling algorithm used in industrial, mainly for the realization of Web server-based remote control. The US National Instruments Corporatio developed a Web module based on the virtual product in its production process, the user can achieve effective testing of the Internet system through the system [7]. Based on the results of expert and scholarly research, this paper studies the remote dynamic request scheduling algorithm of multi-core Web server.