Proceedings the Ninth International Symposium on High-Performance Distributed Computing最新文献_第3页

Development of Web toolkits for computational science portals: the NPACI HotPage 计算科学门户网站的Web工具包开发:NPACI HotPage

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868671

Mary P. Thomas, S. Mock, J. Boisseau

引用次数: 66

Application placement using performance surfaces 使用性能表面放置应用程序

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868654

A. Turgeon, Q. Snell, M. Clement

{"title":"Application placement using performance surfaces","authors":"A. Turgeon, Q. Snell, M. Clement","doi":"10.1109/HPDC.2000.868654","DOIUrl":"https://doi.org/10.1109/HPDC.2000.868654","url":null,"abstract":"Heterogeneous parallel clusters of workstations are being used to solve many important computational problems. Scheduling parallel applications on the best collection of machines in a heterogeneous computing environment is a complex problem. Performance prediction is vital to good application performance in this environment since utilization of an ill-suited machine can slow the computation down significantly. The heterogeneity of the different pieces composing the parallel platform (network links, CPU, memory, and OS) makes it incredibly difficult to accurately predict performance. This paper addresses the problem of network performance prediction. Since communication speed is often the bottleneck for parallel application perfomance, network performance prediction is important to the overall performance prediction problem. A new methodology for characterizing network links and application's need for network resources is developed which makes use of performance surfaces (Clement et al., 1998). Mathematical operations on the performance surfaces are introduced that calculate an application's affinity for a network configuration. These affinity measures can be used for the scheduling of parallel applications.","PeriodicalId":400728,"journal":{"name":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131926755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Event services for high performance computing 用于高性能计算的事件服务

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868641

G. Eisenhauer, F. Bustamante, K. Schwan

{"title":"Event services for high performance computing","authors":"G. Eisenhauer, F. Bustamante, K. Schwan","doi":"10.1109/HPDC.2000.868641","DOIUrl":"https://doi.org/10.1109/HPDC.2000.868641","url":null,"abstract":"The Internet and the Grid are changing the face of high-performance computing. Rather than tightly-coupled SPMD-style components running in a single cluster, on a parallel machine, or even on the Internet programmed in MPI, applications are evolving into sets of collaborating components scattered across diverse computational elements. These collaborating components may run on different operating systems and hardware platforms and may be written by different organizations in different languages. Complete \"applications\" are constructed by assembling these components in a plug-and-play fashion. This new vision for high-performance computing demands features and characteristics which are not easily provided by traditional high-performance communications middleware. In response to these needs, we have developed ECho, a high-performance event-delivery middleware that meets the new demands of the Grid environment. ECho provides efficient binary transmission of event data with unique features that support data-type discovery and enterprise-scale application evolution. We present measurements detailing ECho's performance to show that ECho significantly outperforms other systems intended to provide this functionality, and that it provides throughput and latency comparable to the most efficient middleware infrastructures available.","PeriodicalId":400728,"journal":{"name":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114150779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 94

The Modeler's Workbench: a system for dynamically distributed simulation and data collection 建模者的工作台:一个用于动态分布仿真和数据收集的系统

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868667

Daniel Andresen, R. Novotny

引用次数: 1

Creating large scale database servers 创建大型数据库服务器

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868659

J. Becla, A. Hanushevsky

{"title":"Creating large scale database servers","authors":"J. Becla, A. Hanushevsky","doi":"10.1109/HPDC.2000.868659","DOIUrl":"https://doi.org/10.1109/HPDC.2000.868659","url":null,"abstract":"The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of B-meson produced from electron-positron interactions. The experiment, started in May 1999, will generate approximately 300 TB/year of data for 10 years. All of the data will reside in objectivity databases (object oriented databases), accessible via the Advanced Multi-threaded Server (AMS). To date, over 70 TB of data have been placed in Objectivity/DB, making it one of the largest databases in the world. Providing access to such a large quantity of data through a database server is a daunting task. A full-scale testbed environment had to be developed to tune various software parameters and a fundamental change had to occur in the AMS architecture to allow it to scale past several hundred terabytes of data. Additionally, several protocol extensions had to be implemented to provide practical access to large quantities of data. The paper describes the design of the database and the changes that we needed to make in the AMS for scalability reasons and how the lessons we learned would be applicable to virtually any kind of database server seeking to operate in the Petabyte region.","PeriodicalId":400728,"journal":{"name":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114618299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Incorporating job migration and network RAM to share cluster memory resources 结合作业迁移和网络RAM来共享集群内存资源

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868636

Li Xiao, Xiaodong Zhang, Stefan A. Kubricht

{"title":"Incorporating job migration and network RAM to share cluster memory resources","authors":"Li Xiao, Xiaodong Zhang, Stefan A. Kubricht","doi":"10.1109/HPDC.2000.868636","DOIUrl":"https://doi.org/10.1109/HPDC.2000.868636","url":null,"abstract":"Job migrations and network RAM are two approaches for effectively using global memory resources in a workstation cluster, aimed at reducing page faults in each local workstation and improving the overall performance of cluster computing. Using either remote executions or pre-emptive migrations, a load-sharing system is able to migrate a job from a workstation without sufficient memory space to a lightly loaded workstation with a large idle memory space for the migrated job. In a network RAM system, if a job cannot find sufficient memory space for its working sets, it utilizes idle memory space from other workstations in the cluster through remote paging. Conducting trace-driven simulations, we have compared the performance and tradeoffs of the two approaches and their impacts on job execution time and cluster scalability. Job migration-based load-sharing schemes are able to balance executions of jobs in a cluster well, while network RAM is able to satisfy data-intensive jobs which may not be migratable by sharing all the idle memory resources in a cluster. A network RAM cluster of workstations is scalable only if the network is sufficiently fast. We propose an improved load-sharing scheme by combining job migrations with network RAM for cluster computing. This scheme uses remote execution to initially allocate a job to the most lightly loaded workstation and, if necessary, network RAM to provide a larger memory space for the job than would be available otherwise. The improved scheme has the merits of both job migrations and network RAM. Our experiments show its effectiveness and scalability for cluster computing.","PeriodicalId":400728,"journal":{"name":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129134690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

A component based services architecture for building distributed applications 用于构建分布式应用程序的基于组件的服务体系结构

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868634

R. Bramley, K. Chiu, S. Diwan, Dennis Gannon, M. Govindaraju, N. Mukhi, B. Temko, Madhuri Yechuri

{"title":"A component based services architecture for building distributed applications","authors":"R. Bramley, K. Chiu, S. Diwan, Dennis Gannon, M. Govindaraju, N. Mukhi, B. Temko, Madhuri Yechuri","doi":"10.1109/HPDC.2000.868634","DOIUrl":"https://doi.org/10.1109/HPDC.2000.868634","url":null,"abstract":"Describes an approach to building a distributed software component system for scientific and engineering applications that is based on representing Computational Grid services as application-level software components. These Grid services provide tools such as registry and directory services, event services and remote component creation. While a service-based architecture for grids and other distributed systems is not new, this framework provides several unique features. First, the public interfaces to each software component are described as XML documents. This allows many adaptors and user interfaces to be generated from the specification dynamically. Second, this system is designed to exploit the resources of existing Grid infrastructures like Globus and Legion, and commercial Internet frameworks like e-speak. Third, and most important, the component-based design extends throughout the system. Hence, tools such as application builders, which allow users to select components, start them on remote resources, and connect and execute them, are also interchangeable software components. Consequently, it is possible to build distributed applications using a graphical \"drag-and-drop\" interface, a Web-based interface, a scripting language like Python, or an existing tool such as Matlab.","PeriodicalId":400728,"journal":{"name":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129241157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 111

Failure-atomic file access in an interposed network storage system 插入式网络存储系统中的故障原子文件访问

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868646

Darrell C. Anderson, J. Chase

引用次数: 11

Robust resource management for metacomputers 元计算机健壮的资源管理

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868640

J. Gehring, A. Streit

引用次数: 32

Data mining on NASA's Information Power Grid NASA信息电网的数据挖掘

Proceedings the Ninth International Symposium on High-Performance Distributed Computing Pub Date : 2000-08-01 DOI: 10.1109/HPDC.2000.868663

T. Hinke, Jason Novotny

引用次数: 48