Marek Chalupa , Fabian Muehlboeck , Stefanie Muroya Lei , Thomas A. Henzinger
{"title":"Vamos:尽力而为的第三方监控中间件","authors":"Marek Chalupa , Fabian Muehlboeck , Stefanie Muroya Lei , Thomas A. Henzinger","doi":"10.1016/j.scico.2024.103212","DOIUrl":null,"url":null,"abstract":"<div><div>As the complexity and criticality of software increase every year, so does the importance of runtime monitoring. Third-party and best-effort monitoring are especially valuable, yet under-explored areas of runtime monitoring. In this context, third-party monitoring means monitoring with a limited knowledge of the monitored software (as it has been developed by a third party). Best-effort monitoring keeps pace with the monitored software at the cost of possibly imprecise verdicts when keeping up with the monitored software would not be feasible. Most existing monitoring frameworks do not support the combination of third-party and best-effort monitoring because they either require the full access to the monitored code or the ability to process all observable events, or both.</div><div>We present a middleware framework, <span>Vamos</span>, for the runtime monitoring of software. <span>Vamos</span> is explicitly designed to support third-party and best-effort scenarios. The design goals of <span>Vamos</span> are (i) efficiency (tracing events with low overhead), (ii) flexibility (the ability to monitor a variety of different event channels, and to connect to a wide range of monitors), and (iii) ease-of-use. To achieve its goals, <span>Vamos</span> combines aspects of event broker and event recognition systems with aspects of stream processing systems.</div><div>We implemented a prototype toolchain for <span>Vamos</span> and conducted a set of experiments demonstrating the usability of the scheme. The results indicate that <span>Vamos</span> enables writing useful yet efficient monitors, and simplifies key aspects of setting up a monitoring system from scratch.</div></div>","PeriodicalId":49561,"journal":{"name":"Science of Computer Programming","volume":"240 ","pages":"Article 103212"},"PeriodicalIF":1.5000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vamos: Middleware for best-effort third-party monitoring\",\"authors\":\"Marek Chalupa , Fabian Muehlboeck , Stefanie Muroya Lei , Thomas A. Henzinger\",\"doi\":\"10.1016/j.scico.2024.103212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>As the complexity and criticality of software increase every year, so does the importance of runtime monitoring. Third-party and best-effort monitoring are especially valuable, yet under-explored areas of runtime monitoring. In this context, third-party monitoring means monitoring with a limited knowledge of the monitored software (as it has been developed by a third party). Best-effort monitoring keeps pace with the monitored software at the cost of possibly imprecise verdicts when keeping up with the monitored software would not be feasible. Most existing monitoring frameworks do not support the combination of third-party and best-effort monitoring because they either require the full access to the monitored code or the ability to process all observable events, or both.</div><div>We present a middleware framework, <span>Vamos</span>, for the runtime monitoring of software. <span>Vamos</span> is explicitly designed to support third-party and best-effort scenarios. The design goals of <span>Vamos</span> are (i) efficiency (tracing events with low overhead), (ii) flexibility (the ability to monitor a variety of different event channels, and to connect to a wide range of monitors), and (iii) ease-of-use. To achieve its goals, <span>Vamos</span> combines aspects of event broker and event recognition systems with aspects of stream processing systems.</div><div>We implemented a prototype toolchain for <span>Vamos</span> and conducted a set of experiments demonstrating the usability of the scheme. The results indicate that <span>Vamos</span> enables writing useful yet efficient monitors, and simplifies key aspects of setting up a monitoring system from scratch.</div></div>\",\"PeriodicalId\":49561,\"journal\":{\"name\":\"Science of Computer Programming\",\"volume\":\"240 \",\"pages\":\"Article 103212\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of Computer Programming\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167642324001357\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of Computer Programming","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167642324001357","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Vamos: Middleware for best-effort third-party monitoring
As the complexity and criticality of software increase every year, so does the importance of runtime monitoring. Third-party and best-effort monitoring are especially valuable, yet under-explored areas of runtime monitoring. In this context, third-party monitoring means monitoring with a limited knowledge of the monitored software (as it has been developed by a third party). Best-effort monitoring keeps pace with the monitored software at the cost of possibly imprecise verdicts when keeping up with the monitored software would not be feasible. Most existing monitoring frameworks do not support the combination of third-party and best-effort monitoring because they either require the full access to the monitored code or the ability to process all observable events, or both.
We present a middleware framework, Vamos, for the runtime monitoring of software. Vamos is explicitly designed to support third-party and best-effort scenarios. The design goals of Vamos are (i) efficiency (tracing events with low overhead), (ii) flexibility (the ability to monitor a variety of different event channels, and to connect to a wide range of monitors), and (iii) ease-of-use. To achieve its goals, Vamos combines aspects of event broker and event recognition systems with aspects of stream processing systems.
We implemented a prototype toolchain for Vamos and conducted a set of experiments demonstrating the usability of the scheme. The results indicate that Vamos enables writing useful yet efficient monitors, and simplifies key aspects of setting up a monitoring system from scratch.
期刊介绍:
Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design.
The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice.
The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including
• Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;
• Design, implementation and evaluation of programming languages;
• Programming environments, development tools, visualisation and animation;
• Management of the development process;
• Human factors in software, software for social interaction, software for social computing;
• Cyber physical systems, and software for the interaction between the physical and the machine;
• Software aspects of infrastructure services, system administration, and network management.