HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.最新文献

Automatic dynamic run-time optical network reservations 自动动态运行时光网络预约

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520969

J. Lange, Ananth I. Sundararaj, P. Dinda

引用次数: 24

Building self-adapting services using service-specific knowledge 使用特定于服务的知识构建自适应服务

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520931

An-Cheng Huang, P. Steenkiste

{"title":"Building self-adapting services using service-specific knowledge","authors":"An-Cheng Huang, P. Steenkiste","doi":"10.1109/HPDC.2005.1520931","DOIUrl":"https://doi.org/10.1109/HPDC.2005.1520931","url":null,"abstract":"With the advances in middleware and Web services technologies, network sendees are evolving from simple client-sender applications to self-configuring services that can compose primitive components distributed in the Internet into a value-added service configuration that provides rich functionalities to users. A resulting research problem is how to continuously adapt such composite service configurations at run time in order to cope with the increasingly dynamic and heterogeneous network environments and computing platforms. In this paper, we propose a self-adaptation architecture that allows service developers to specify their service-specific adaptation knowledge as \"externalized\" adaptation strategies. These adaptation strategies are used by a general, shared adaptation framework to perform run-time adaptation operations that automatically incorporate service-specific knowledge. In addition to the strategies, we also identify another aspect of adaptation knowledge that is not addressed by previous solutions: adaptation coordination. Our framework provides integrated support for the specification and execution of both aspects of developers' adaptation knowledge.","PeriodicalId":120564,"journal":{"name":"HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122127893","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: 17

Generosity and gluttony in GEMS: grid enabled molecular simulations GEMS中的慷慨与暴饮暴食:网格分子模拟

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520959

J. Wozniak, P. Brenner, D. Thain, A. Striegel, J. Izaguirre

{"title":"Generosity and gluttony in GEMS: grid enabled molecular simulations","authors":"J. Wozniak, P. Brenner, D. Thain, A. Striegel, J. Izaguirre","doi":"10.1109/HPDC.2005.1520959","DOIUrl":"https://doi.org/10.1109/HPDC.2005.1520959","url":null,"abstract":"Biomolecular simulations produce more output data than can be managed effectively by traditional computing systems. Researchers need distributed systems that allow the pooling of resources, the sharing of simulation data, and the reliable publication of both tentative and final results. To address this need, we have designed GEMS, a system that enables biomolecular researchers to store, search, and share large scale simulation data. The primary design problem is striking a balance between generosity and gluttony. On one hand, storage providers wish to be generous and share resources with their collaborators. On the other hand, an unchecked data producer can be gluttonous and easily replicate data unnecessarily until it fills all available space. To balance generosity and gluttony, GEMS allows both storage providers and data producers to state and enforce policies on the consumption of storage and the replication of data. By taking advantage of known properties of simulation data, the system is able to distinguish between high value final results that must be preserved and low value intermediate results that can be deleted and regenerated if necessary. We have built a prototype of GEMS on a cluster of workstations and demonstrate its ability to store new data, to replicate within policy limits, and to recover from failures.","PeriodicalId":120564,"journal":{"name":"HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129187730","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: 22

Cluster delegation: high-performance, fault-tolerant data sharing in NFS 集群委托:在NFS中实现高性能、容错的数据共享

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520942

Alexandros Batsakis, R. Burns

引用次数: 15

Performance analysis of a file catalog for the LHC computing grid LHC计算网格的文件编目性能分析

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520941

J. Baud, J. Casey, S. Lemaitre, C. Nicholson

{"title":"Performance analysis of a file catalog for the LHC computing grid","authors":"J. Baud, J. Casey, S. Lemaitre, C. Nicholson","doi":"10.1109/HPDC.2005.1520941","DOIUrl":"https://doi.org/10.1109/HPDC.2005.1520941","url":null,"abstract":"The Large Hadron Collider (LHC) at CERN, the European Organization for Nuclear Research, needs to produce unprecedented volumes of data when it starts operation in 2007. To provide for its computational needs, the LHC computing grid (LCG) should be deployed as a worldwide computational grid service, providing the middleware upon which the physics analysis for the LHC can be carried out. In 2003, versions of this middleware were deployed which were based on the middleware produced by the European Data Grid project (EDG). In 2004 the LCG-2 release, which consisted of the EDG middleware with some minor modifications, was deployed for use by the LHC experiments. A series of data challenges by these experiments were the first real experiment production use of LCG. During the course of the data challenges, many issues and problems were exposed which had not shown up in more limited tests. The deployment, service and development teams worked closely with the experiments to understand these issues and while some of the problems were solved during the data challenges, others exposed fundamental problems with the middleware as deployed in LCG-2. One of these fundamental problems was the performance under real load of the catalog component provided by EDG, the replica location service. To solve these problems a new component was designed, the LCG file catalog (LFC). The LFC moves away from the replica location service model used in previous LCG releases, towards a hierarchical file system model which is more like a UNIX file system. It also adds missing functionality which was requested by the experiments. This paper presents the architecture and implementation of the LFC and evaluates it in a series of performance tests, with up to forty million entries and one hundred requesting threads from multiple clients. The results show good scalability up to the limits of these tests, and compare favourably with other grid catalog implementations.","PeriodicalId":120564,"journal":{"name":"HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121961570","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: 37

Design and implementation tradeoffs for wide-area resource discovery 广域资源发现的设计和实现权衡

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1145/1391949.1391952

Jeannie R. Albrecht, David L. Oppenheimer, Amin Vahdat, D. Patterson

{"title":"Design and implementation tradeoffs for wide-area resource discovery","authors":"Jeannie R. Albrecht, David L. Oppenheimer, Amin Vahdat, D. Patterson","doi":"10.1145/1391949.1391952","DOIUrl":"https://doi.org/10.1145/1391949.1391952","url":null,"abstract":"This paper describes the design and implementation of SWORD, a scalable resource discovery service for wide-area distributed systems. In contrast to previous systems, SWORD allows users to describe desired resources as a topology of interconnected groups with required intragroup, intergroup, and per-node characteristics, along with the utility that the application derives from various ranges of values of those characteristics. This design gives users the flexibility to find geographically distributed resources for applications that are sensitive to both node and network characteristics, and allows the system to rank acceptable configurations based on their quality for that application. We explore a variety of architectures to deliver SWORD's functionality in a scalable and highly-available manner. A 1000-node ModelNet evaluation using a workload of measurements collected from PlanetLab shows that an architecture based on 4-node server cluster sites at network peering facilities outperforms a decentralized DHT-based resource discovery infrastructure for all but the smallest number of sites. While such a centralized architecture shows significant promise, we find that our decentralized implementation, both in emulation and running continuously on over 200 PlanetLab nodes, performs well while benefiting from the DHT's self-healing properties.","PeriodicalId":120564,"journal":{"name":"HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.","volume":"1049 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131823319","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: 227

Techniques for tuning workflows in cluster environments 在集群环境中调优工作流的技术

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520986

B. Tierney, D. Gunter

引用次数: 0

A model for cooperative federation of distributed clusters 分布式集群的合作联合模型

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520982

R. Ranjan, R. Buyya, A. Harwood

引用次数: 9

Genetic algorithm based automatic data partitioning scheme for HPF 基于遗传算法的HPF自动数据分区方案

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520979

S. Anand, Y. Srikant

引用次数: 0

HMPI - hybrid MPI HMPI混合MPI

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005. Pub Date : 2005-07-24 DOI: 10.1109/HPDC.2005.1520987

F. I. Massetto, Augusto Mendes Gomes Junior, L. Sato

引用次数: 3