Rick Rabiser, Michael Vierhauser, Sam Guinea, W. Hasselbring
{"title":"Session details: First International Workshop on Monitoring in Large-Scale Software Systems (MoLS'17)","authors":"Rick Rabiser, Michael Vierhauser, Sam Guinea, W. Hasselbring","doi":"10.1145/3254602","DOIUrl":null,"url":null,"abstract":"It is our great pleasure to welcome you to MoLS 2017, the First International Workshop on Monitoring in Large-Scale Software Systems. MoLS 2017 aims to explore and explicate the current state, ongoing work and open issues regarding monitoring in large-scale software systems. We also want to support the transfer of knowledge between different disciplines and domains working on this topic. Large-scale, heterogeneous software systems – e.g., cyber-physical systems, cloud-based systems, or service-based systems – are ubiquitous in many domains. Such systems’ full behavior emerges only at runtime, when the involved systems interact with each other, hardware, third-party systems, or legacy systems. Thus, engineers are interested in monitoring the overall system, for instance, to verify components’ correct timing or measure performance and resource consumption. The complexity and heterogeneity of large-scale software systems, however, complicates monitoring. Properties need to be checked across the boundaries of multiple constituent systems and heterogeneous, domainspecific technologies need to be instrumented. Also, different types of properties must be checked and systems exist in many different versions and variants. In response to these and other challenges, MoLS 2017 focuses on methods and tools supporting monitoring in large-scale software systems and explores how software systems of realistic complexity can be monitored effectively and efficiently.","PeriodicalId":115833,"journal":{"name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3254602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
It is our great pleasure to welcome you to MoLS 2017, the First International Workshop on Monitoring in Large-Scale Software Systems. MoLS 2017 aims to explore and explicate the current state, ongoing work and open issues regarding monitoring in large-scale software systems. We also want to support the transfer of knowledge between different disciplines and domains working on this topic. Large-scale, heterogeneous software systems – e.g., cyber-physical systems, cloud-based systems, or service-based systems – are ubiquitous in many domains. Such systems’ full behavior emerges only at runtime, when the involved systems interact with each other, hardware, third-party systems, or legacy systems. Thus, engineers are interested in monitoring the overall system, for instance, to verify components’ correct timing or measure performance and resource consumption. The complexity and heterogeneity of large-scale software systems, however, complicates monitoring. Properties need to be checked across the boundaries of multiple constituent systems and heterogeneous, domainspecific technologies need to be instrumented. Also, different types of properties must be checked and systems exist in many different versions and variants. In response to these and other challenges, MoLS 2017 focuses on methods and tools supporting monitoring in large-scale software systems and explores how software systems of realistic complexity can be monitored effectively and efficiently.