{"title":"NEMO: A network monitoring framework for high-performance computing","authors":"E. P. Calle","doi":"10.5220/0002968700610066","DOIUrl":null,"url":null,"abstract":"The volume of data generated by the Large Hadron Collider (LHC), several PetaBytes (PB) per year, requires a distributed tier-organised structure of computing resources for mass storage and analysis. The complexity and diversity of the components of this structure (hardware, software and networks) require a control mechanism to guarantee high-throughput high-reliability computing services. NEMO is a monitoring framework that has been developed in one of the computing clusters that receive data from LHC and has been designed to measure and publish the state of a cluster resources, maximize performance and efficiency and guarantee the integrity of the cluster.","PeriodicalId":165879,"journal":{"name":"2010 International Conference on Data Communication Networking (DCNET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Data Communication Networking (DCNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0002968700610066","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
The volume of data generated by the Large Hadron Collider (LHC), several PetaBytes (PB) per year, requires a distributed tier-organised structure of computing resources for mass storage and analysis. The complexity and diversity of the components of this structure (hardware, software and networks) require a control mechanism to guarantee high-throughput high-reliability computing services. NEMO is a monitoring framework that has been developed in one of the computing clusters that receive data from LHC and has been designed to measure and publish the state of a cluster resources, maximize performance and efficiency and guarantee the integrity of the cluster.