S. Agarwala, C. Poellabauer, J. Kong, K. Schwan, M. Wolf
{"title":"Resource-aware stream management with the customizable dproc distributed monitoring mechanisms","authors":"S. Agarwala, C. Poellabauer, J. Kong, K. Schwan, M. Wolf","doi":"10.1109/HPDC.2003.1210034","DOIUrl":null,"url":null,"abstract":"Monitoring the resources of distributed systems is essential to the successful deployment and execution of grid applications, particularly when such applications have well-defined QoS requirements. The dproc system-level monitoring mechanisms implemented for standard Linux kernels have several key components. First, utilizing the familiar /proc filesystem, dproc extends this interface with resource information collected from both local and remote hosts. Second, to predictably capture and distribute monitoring information, dproc uses a kernel-level group communication facility, termed KECho, which is based on events and event channels. Third and the focus of this paper is dproc's run-time customizability for resource monitoring, which includes the generation and deployment of monitoring functionality within remote operating system kernels. Using dproc, we show that: (a) data streams can be customized according to a client's resource availabilities (dynamic stream management); (b) by dynamically varying distributed monitoring (dynamic filtering of monitoring information), appropriate balance can be maintained between monitoring overheads and application quality; and (c) by performing monitoring at kernel-level, the information captured enables decision making that takes into account the multiple resources used by applications.","PeriodicalId":430378,"journal":{"name":"High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPDC.2003.1210034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Monitoring the resources of distributed systems is essential to the successful deployment and execution of grid applications, particularly when such applications have well-defined QoS requirements. The dproc system-level monitoring mechanisms implemented for standard Linux kernels have several key components. First, utilizing the familiar /proc filesystem, dproc extends this interface with resource information collected from both local and remote hosts. Second, to predictably capture and distribute monitoring information, dproc uses a kernel-level group communication facility, termed KECho, which is based on events and event channels. Third and the focus of this paper is dproc's run-time customizability for resource monitoring, which includes the generation and deployment of monitoring functionality within remote operating system kernels. Using dproc, we show that: (a) data streams can be customized according to a client's resource availabilities (dynamic stream management); (b) by dynamically varying distributed monitoring (dynamic filtering of monitoring information), appropriate balance can be maintained between monitoring overheads and application quality; and (c) by performing monitoring at kernel-level, the information captured enables decision making that takes into account the multiple resources used by applications.