Jones Edward Chiwinga, Muhammad Salihu Isa, Jinbiao Wu
{"title":"Cost–benefit evaluation of computer network systems with warm standby units and general repair times","authors":"Jones Edward Chiwinga, Muhammad Salihu Isa, Jinbiao Wu","doi":"10.1016/j.compeleceng.2025.110724","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid growth of artificial intelligence (AI) and internet of things (IoT) across several industries emphasizes on the necessity for reliable and strong network infrastructure. In our increasingly interconnected world, network availability and reliability are critical for the success of diverse sectors such as businesses, academic institutions, communication, and healthcare systems. However, issues like software bugs, hardware malfunctions, and human error pose serious threats to the stability of the network. Addressing these problems is becoming more and more crucial as the need for uninterrupted connectivity keeps rising. To address these challenges this paper compares three retrial computer network systems comprising warm standby units, a single repairman with planned vacations, and general repair time distributions. The steady state probabilities and related availabilities for three retrial systems are systematically derived by employing supplementary variable technique and recursive analytical method. Additionally, comparison of the cost–benefit ratios and availabilities for these systems is presented. The best retrial system is obtained by sorting the efficiency of the three retrial systems under consideration. The adopted technique outperforms typical models by a significant margin, according to numerical results, this enhances efficiency of system availability even in case of unit failures. Based on the calculated numerical outcomes, more strategies for decision making management are also suggested for practical implications.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110724"},"PeriodicalIF":4.9000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625006676","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid growth of artificial intelligence (AI) and internet of things (IoT) across several industries emphasizes on the necessity for reliable and strong network infrastructure. In our increasingly interconnected world, network availability and reliability are critical for the success of diverse sectors such as businesses, academic institutions, communication, and healthcare systems. However, issues like software bugs, hardware malfunctions, and human error pose serious threats to the stability of the network. Addressing these problems is becoming more and more crucial as the need for uninterrupted connectivity keeps rising. To address these challenges this paper compares three retrial computer network systems comprising warm standby units, a single repairman with planned vacations, and general repair time distributions. The steady state probabilities and related availabilities for three retrial systems are systematically derived by employing supplementary variable technique and recursive analytical method. Additionally, comparison of the cost–benefit ratios and availabilities for these systems is presented. The best retrial system is obtained by sorting the efficiency of the three retrial systems under consideration. The adopted technique outperforms typical models by a significant margin, according to numerical results, this enhances efficiency of system availability even in case of unit failures. Based on the calculated numerical outcomes, more strategies for decision making management are also suggested for practical implications.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.