Proceedings. IEEE International Conference on Cluster Computing最新文献

{"title":"Launching into the future of commodity cluster computing","authors":"T. Sterling","doi":"10.1109/CLUSTR.2002.1137765","DOIUrl":"https://doi.org/10.1109/CLUSTR.2002.1137765","url":null,"abstract":"Summary form only given. It is observed that once you've finally made it to the North Pole, no matter what direction your next step takes, you can't go anywhere but South. To some, it appears that Commodity Cluster computing is in somewhat of a similar position. Having firmly established itself as the leading approach to scalable high performance computing, commodity clusters such as Beowulf-class systems have no where to go. Yes, they will continue to track Moore's exponential growth in peak performance and storage capacity, and system software will become incrementally better But in terms of strategic advances, commodity clusters are largely corralled in a paradigm cul-de-sac. In some sense there is a kind of truth in this assessment: the fundamental premise of commodity clustering is invariant; Existing, i.e. predeveloped and standalone, systems (uninformatively referred to as \"nodes\") are integrated by means of a commercially available interconnect network and supporting software. However the flaw of this defeatist perspective is that the nodes look like more of the same, only faster The future of commodity cluster computing will be defined, not solely by Moore's Law, but by the revolutionary structures embodied by the nodes and the innovative ways in which they will be employed. This plenary presentation will explore the innovations in both hardware and software that are likely to drive the future of commodity cluster computing throughout the rest of this decade and toward the trans-Petaflops performance regime of performance. In so doing, we will examine current projections of device technology to anticipate the performance, capacity, power, size, and cost curves of future commodity clusters. Perhaps of more impact are the changes anticipated in hardware architecture including blade technology, system and SMP on a chip, processor in memory architecture, and anticipated advances in networking including Infiniband and optical switching. As new uses are found for clusters with a rapidly expanding customer base including commercial and business communities, a combination of open source and commercial software tools will be developed for ease of use and high productivity as well as resource management and fault recovery As system scale explodes even for moderate cost systems, the software tools to manage them will take on new responsibilities alleviating much of the burden experienced by today's practitioners. The talk will conclude with a look at some more bizarre possibilities made driven by other market and product trends. The future of clusters can show that even at the North Pole, with the right technology and vision, you can also go straight up.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"1 1","pages":"345-"},"PeriodicalIF":0.0,"publicationDate":"2002-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90723955","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}

{"title":"Noncontiguous I/O through PVFS","authors":"A. Ching, A. Choudhary, W. Liao, R. Ross, W. Gropp","doi":"10.1109/CLUSTR.2002.1137773","DOIUrl":"https://doi.org/10.1109/CLUSTR.2002.1137773","url":null,"abstract":"With the tremendous advances in processor and memory technology, I/O has risen to become the bottleneck in high-performance computing for many applications. The development of parallel file systems has helped to ease the performance gap, but I/O still remains an area needing significant performance improvement. Research has found that noncontiguous I/O access patterns in scientific applications combined with current file system methods, to perform these accesses lead to unacceptable performance for large data sets. To enhance performance of noncontiguous I/O, we have created list I/O, a native version of noncontiguous I/O. We have used the Parallel Virtual File System (PVFS) to implement our ideas. Our research and experimentation shows that list I/O outperforms current noncontiguous I/O access methods in most I/O situations and can substantially enhance the performance of real-world scientific applications.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"291 1","pages":"405-414"},"PeriodicalIF":0.0,"publicationDate":"2002-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83150850","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}

{"title":"Algorithmic mechanism design for load balancing in distributed systems","authors":"Daniel Grosu, Anthony T. Chronopoulos","doi":"10.1109/CLUSTR.2002.1137780","DOIUrl":"https://doi.org/10.1109/CLUSTR.2002.1137780","url":null,"abstract":"Computational grids are large scale computing systems composed of geographically distributed resources (computers, storage etc.) owned by self interested agents or organizations. These agents may manipulate the resource allocation algorithm for their own benefit and their selfish behavior may lead to severe performance degradation and poor efficiency. In this paper we investigate the problem of designing protocols for resource allocation involving selfish agents. Solving this kind of problem is the object of mechanism design theory. Using this theory we design a truthful mechanism for solving the static load balancing problem in heterogeneous distributed systems. We prove that by using the optimal allocation algorithm the output function admits a truthful payment scheme satisfying voluntary participation. We derive a protocol that implements our mechanism and present experiments to show its effectiveness.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"26 1","pages":"445-450"},"PeriodicalIF":0.0,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74122050","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}

{"title":"The Parallel Virtual File System for Commodity Clusters","authors":"W. Ligon, R. Ross","doi":"10.1109/CLUSTER.2001.10006","DOIUrl":"https://doi.org/10.1109/CLUSTER.2001.10006","url":null,"abstract":"One benefit of cluster computer architectures is the opportunity for large I/O bandwidths. High performance applications that require significant I/O throughput are increasingly of interest to the clustercomputing community. Parallel file systems are critical system software components that allow parallel applications to take advantage of the parallel I/O disk subsystems in a cluster architecture. The Parallel Virtual File System (PVFS) was the first parallel file system developed specifically for cluster architectures and today is a popular choice for fast disk access. This tutorial introduces the basic concepts behind parallel file systems and specific information about PVFS. The emphasis is on using PVFS to implement effective applications that require substantial I/O performance. Topics include fundamental concepts, PVFS specifics, I/O interfaces including MPI-IO, example applications, performance tuning, and the future of PVFS. Dr. Ligon is an Associate Professor in the Holcombe Department of Electrical and Computer Engineering at Clemson University. His research interests are in high performance computing, focusing on parallel file systems, problem solving environments, and reconfigurable computing. Current projects include the Parallel Virtual File System (PVFS), Clemson Environment for Remote Sensing (CERSe), and the Reconfigurable Computing Application Development Environment (RCADE). Dr. Ross is a postdoctoral researcher in the Mathematics and Computer Science Division at Argonne National Laboratory. His research interests are in message passing and storage systems for high performance computing environments, in particular cluster computing environments. Current projects include the Parallel Virtual File System (PVFS), the ROMIO MPI-IO implementation, and the MPICH implementation of the MPI message passing interface. Proceedings of the 2001 IEEE International Conference on Cluster Computing (CLUSTER’01) 0-7695-1116-3/02 $17.00 © 2002 IEEE","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"1 1","pages":"456"},"PeriodicalIF":0.0,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77252819","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}

{"title":"Emerging Technologies for MultiCluster/Grid Computing","authors":"R. Buyya, M. Baker","doi":"10.1109/CLUSTER.2001.10001","DOIUrl":"https://doi.org/10.1109/CLUSTER.2001.10001","url":null,"abstract":"The growing popularity of the Internet along with the availability of powerful computers and high-speed networks as low-cost commodity components is changing the way we do computing. The emergence of two computing paradigms, \"cluster computing\" and \"global computing\" (Grid computing), is making developers rethink the way they design and implement their applications. The emerging technologies are enabling the coupling of a wide variety of geographically distributed resources such as desktop computers, clusters, storage systems and scientific instruments, and allowing them to be used as a single unified resource and thus forms what is popularly known as a Grid. In this tutorial we raise a number of open issues that the Grid community of researchers and developers need to address. Special emphasis will be placed on create a Grid of clusterscomputing on multiple clusters geographically distributed across the campus, nation, or world. We first discuss a number of social and architectural issues that are guiding the design of the next generation of Internet technologies and applications. We then describe some major international efforts in developing self-organising Grid software systems and applications both in academic, research and commercial settings. We then go onto to present some economics issues in Grid computing that are being developed, as well as the results of some experiments on wide-area high-throughput computing across the Internet. We conclude the tutorial by highlighting sociological and intellectual implications of this new Internet computing paradigm and its impact on the marketplace. Rajkumar Buyya is a Research Scholar at the School of Computer Science and Software Engineering, Monash University, Melbourne, Australia. He was awarded Dharma Ratnakara Memorial Trust Gold Medal for his academic excellence during 1992 by Kuvempu/Mysore University. He is co-author of books: Mastering C++ and Microprocessor x86 Programming; and recently, he has edited a two volume book on High Performance Cluster Computing: Architectures and Systems (Vol. 1); Programming and Application (Vol.2) published by Prentice Hall, USA. He served as Guest Editor for the special issues of international journals: Parallel and Distributed Computing Practices, Informatica: An International Journal of Computing and Informatics, and Journal of Supercomputing. Proceedings of the 2001 IEEE International Conference on Cluster Computing (CLUSTER’01) 0-7695-1116-3/02 $17.00 © 2002 IEEE Rajkumar is a speaker in the IEEE Computer Society Chapter Tutorials Program. Along with Mark Baker, he co-chairs the IEEE Computer Society Task Force on Cluster Computing. He has contrbuted to the development of HPCC system software environment for PARAM supercomputer developed by the Centre for Development of Advanced Computing, India. Rajkumar conducted tutorials on advanced technologies such as Parallel, Distributed and Multithreaded Computing, Client/Server Computing, Internet and Java, C","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"51 1","pages":"457-458"},"PeriodicalIF":0.0,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91372116","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}

{"title":"Dense Computing with Transmeta's Crusoe (invited)","authors":"D. Gaudet","doi":"10.1109/CLUSTR.2001.959953","DOIUrl":"https://doi.org/10.1109/CLUSTR.2001.959953","url":null,"abstract":"Summary form only given, as follows. Transmeta's Crusoe x86 processor is capable of running at peak performance with low thermal requirements. This allows for a dense arrangement of CPUs with minimal cooling requirements, while achieving competitive performance per watt. We will discuss various performance results using the Crusoe processor.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"316 1","pages":"73"},"PeriodicalIF":0.0,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85421701","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}

{"title":"The Scyld Beowulf System","authors":"D. Becker","doi":"10.1109/CLUSTER.2001.10004","DOIUrl":"https://doi.org/10.1109/CLUSTER.2001.10004","url":null,"abstract":"Beowulf systems are high performance computers constructed from commodity hardware connected by a private internal network and running an open source operating system infrastructure. This tutorial will cover design, installation, deployment and running Beowulf clusters. It will be focused on the Scyld Beowulf system, and will include specific examples and a complete cluster installation CD-ROM.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"40 9","pages":"455"},"PeriodicalIF":0.0,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72449539","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}

{"title":"Design and Implementation of Highly Available Linux Clusters","authors":"I. Haddad, F. Rossi","doi":"10.1109/CLUSTER.2001.10005","DOIUrl":"https://doi.org/10.1109/CLUSTER.2001.10005","url":null,"abstract":"Fueled by the Internet revolution and the lure of opportunities in the new converging world of voice, data and video over cost-effective networks, telecom and networking companies are attempting to offer the most complete and compelling end-to-end enterprise solutions. The interest in clustering from the telecom world comes from the fact that we can address the availability and scaled performance using cost-effective hardware and software while maintaining near telecom-grade characteristics. These characteristics include continuous service availability, high reliability, superior performance, high throughput for fast and reliable data streaming, flexibility in terms of fast reconfiguration, linear scalability, and ease and completeness of management. In 2000, the ARIES (Advanced Research on Internet E-Servers) project started at Ericsson Research Canada, aimed at finding and prototyping the necessary technology to prove the feasibility of a clustered Internet Server that provides telecom-grade characteristics. In 2001, ARIES evolved into a new direction to enhance the clustering capabilities Linux to fulfill the future demands for Mobile Internet Servers. This tutorial will address in detail all the design and implementation issues we faced building Linux clusters using Linux and Open Source Software as the base technology; in addition it will provide a how-to for building Linux clusters starting from scratch. Ibrahim Haddad is a System Designer at the Ericsson Research Open Architecture Lab in Montreal, Canada where he is primarily involved in researching carrier-class server nodes for real-time all-IP networks. The focus of his work at Ericsson is to bring telecom grade characteristics to Linux so that it can be considered as a potential operating system for carrier-class servers. Ibrahim received his Bachelor and Masters degrees in Computer Science from the Lebanese American University and he is currently a Dr.Sc. Candidate at Concordia University. Ibrahim is also involved in several Open Source projects and is a regular contributor to the Linux Journal. Frederic Rossi is a System Designer at the Ericsson Research Open Architecture Lab in Montreal, Canada where he is researching new load balancing and traffic distribution algorithms to improve Linux capabilities to be considered as a platform of choice for telecom grade clusters. Frederic received his Bachelor and Masters degrees in Computer Science from the University of Paris VIII. Proceedings of the 2001 IEEE International Conference on Cluster Computing (CLUSTER’01) 0-7695-1116-3/02 $17.00 © 2002 IEEE","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"53 1","pages":"454"},"PeriodicalIF":0.0,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87725824","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}

{"title":"Advanced Cluster Programming with MP","authors":"W. Gropp","doi":"10.1109/CLUSTER.2001.10003","DOIUrl":"https://doi.org/10.1109/CLUSTER.2001.10003","url":null,"abstract":"","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"27 1","pages":"453"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75712052","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}

{"title":"\"Architecture Recapitulates Phylogeny\": How Scalability Requires Specializatio","authors":"S. Oberlin","doi":"10.1109/CLUSTER.2001.10000","DOIUrl":"https://doi.org/10.1109/CLUSTER.2001.10000","url":null,"abstract":"","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"50 1","pages":"3-"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80896311","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}