S. Fiore, Alessandro Negro, S. Vadacca, G. Aloisio
{"title":"iGRelC: A Dashboard Implementation for Grid Environments","authors":"S. Fiore, Alessandro Negro, S. Vadacca, G. Aloisio","doi":"10.1109/PDCAT.2008.75","DOIUrl":null,"url":null,"abstract":"Nowadays production grids such as EGEE, Teragrid, DEISA adopt several tools in order to monitor jobs, check the status of the grid, manage accounting information, etc. Anyway, from the end-user perspective, monitoring the global status of the grid taking into account machines, networks, services, databases, job, etc. is not straightforward, uniform, and tightly coupled. What we present in this paper is the iGRelC dashboard, an integrated approach able to retrieve, process and display information coming from different data sources (both relational and non-relational) and published in grid by heterogeneous systems and services.","PeriodicalId":282779,"journal":{"name":"2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2008.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays production grids such as EGEE, Teragrid, DEISA adopt several tools in order to monitor jobs, check the status of the grid, manage accounting information, etc. Anyway, from the end-user perspective, monitoring the global status of the grid taking into account machines, networks, services, databases, job, etc. is not straightforward, uniform, and tightly coupled. What we present in this paper is the iGRelC dashboard, an integrated approach able to retrieve, process and display information coming from different data sources (both relational and non-relational) and published in grid by heterogeneous systems and services.