Abstract
With cloud computing's powerful computing power, many end users can create a variety of effective network applications using the cloud's services without having to worry about computing technology or access methods. Based on CC technology's on-demand service characteristics and unlimited dynamic expansion capability, this article designs and implements a shared network examination system. In the Web mode, the functions of receiving and distributing examination data, identity verification, online examination, and examination result collection can be realized using the SaaS deployment structure, MVC three-tier architecture, Java modeling language, XFIE, JSON, web service, DES, and other technologies combined with MySQL database. At the same time, the improved parallel genetic annealing algorithm (IPGAA) is proposed as a CC resource scheduling strategy. The IPGAA has better adaptability in the CC system with various cloud resources because it combines the fast global search ability of the genetic algorithm (GA) with the local search ability of the simulated annealing algorithm. Simulation tests show that the IPGAA is effective.
Highlights
With the application of various modern information technologies and the rapid development of network technology, many schools or institutions have gradually replaced the traditional paper examinations with online examination systems, improving the examination efficiency and the examination quality, and making the examinations no longer restricted by places and regions [1]. e existing online examination system structure modes mainly include client/server (C/S) structure and browser/server (B/S) structure [2, 3]
The administrator pushes the examination questions and examinee information down to the examination center, and the examinee takes the examination at the examination center. is kind of structure is mainly distributed in the local area network, and candidates can only take exams in the prescribed environment, which is limited to a certain extent in time and space
To solve the above problems, this study proposes a Cloud computing (CC) resource scheduling strategy based on the improved parallel genetic annual algorithm (IPGAA)
Summary
With the application of various modern information technologies and the rapid development of network technology, many schools or institutions have gradually replaced the traditional paper examinations with online examination systems, improving the examination efficiency and the examination quality, and making the examinations no longer restricted by places and regions [1]. e existing online examination system structure modes mainly include client/server (C/S) structure and browser/server (B/S) structure [2, 3]. Is kind of structure is mainly distributed in the local area network, and candidates can only take exams in the prescribed environment, which is limited to a certain extent in time and space. This kind of system has limited carrying capacity, is not easy to expand, and is easy to cause candidates’ answers to be lost in emergencies, and there are some phenomena such as disconnected examination systems and difficult data synchronization, which makes it difficult for examination systems based on the B/S structure to be widely used. It solves the problems of single-point failure, high communication overhead, and relatively low efficiency of scheduling algorithm in existing resource scheduling
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