2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing最新文献_第2页

Fine-Grained Profiling for Data-Intensive Workflows 数据密集型工作流的细粒度分析

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.29

N. Dun, K. Taura, A. Yonezawa

引用次数: 2

On the Origin of Services Using RIDDL for Description, Evolution and Composition of RESTful Services 用RIDDL描述、演化和组合RESTful服务的服务起源

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.126

Juergen Mangler, P. Beran, E. Schikuta

引用次数: 17

WORKEM: Representing and Emulating Distributed Scientific Workflow Execution State WORKEM:分布式科学工作流执行状态的表示与仿真

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.89

L. Ramakrishnan, Dennis Gannon, Beth Plale

{"title":"WORKEM: Representing and Emulating Distributed Scientific Workflow Execution State","authors":"L. Ramakrishnan, Dennis Gannon, Beth Plale","doi":"10.1109/CCGRID.2010.89","DOIUrl":"https://doi.org/10.1109/CCGRID.2010.89","url":null,"abstract":"Scientific workflows have become an integral part of cyber infrastructure as their computational complexity and data sizes have grown. However, the complexity of the distributed infrastructure makes design of new workflows, determining the right management policies, debugging, testing or reproduction of errors challenging. Today, workflow engines manage the dependencies between tasks of workflows and there are tools available to wrap scientific codes. There is a need for a customizable, isolated and manageable testing container for design, evaluation and deployment of distributed workflows. To build such an environment, we need to be able to model and represent, capture and possibly reuse the execution flows within each task of a workflow that accurately captures the execution behavior. In this paper, we present the design and implementation of WORKEM, an extensible framework that can be used to represent and emulate workflow execution state. We also detail the use of the framework in two specific case studies (a) design and testing of an orchestration system (b) generation of a provenance database. Our evaluation shows that the framework has minimal overheads and can be scaled to run hundreds of workflows in short durations of time and with a high amount of parallelism.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129769619","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: 14

Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs 多gpu上有限差分方法的异步通信方案

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.86

D. Playne, K. Hawick

引用次数: 4

Predicting the Quality of Service of a Peer-to-Peer Desktop Grid 点对点桌面网格的服务质量预测

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.50

Marcus Carvalho, Renato Miceli, P. D. Maciel, F. Brasileiro, R. Lopes

{"title":"Predicting the Quality of Service of a Peer-to-Peer Desktop Grid","authors":"Marcus Carvalho, Renato Miceli, P. D. Maciel, F. Brasileiro, R. Lopes","doi":"10.1109/CCGRID.2010.50","DOIUrl":"https://doi.org/10.1109/CCGRID.2010.50","url":null,"abstract":"Peer-to-peer (P2P) desktop grids have been proposed as an economical way to increase the processing capabilities of information technology (IT) infrastructures. In a P2P grid, a peer donates its idle resources to the other peers in the system, and, in exchange, can use the idle resources of other peers when its processing demand surpasses its local computing capacity. Despite their cost-effectiveness, scheduling of processing demands on IT infrastructures that encompass P2P desktop grids is more difficult. At the root of this difficulty is the fact that the quality of the service provided by P2P desktop grids varies significantly over time. The research we report in this paper tackles the problem of estimating the quality of service of P2P desktop grids. We base our study on the OurGrid system, which implements an autonomous incentive mechanism based on reciprocity, called the Network of Favours (NoF). In this paper we propose a model for predicting the quality of service of a P2P desktop grid that uses the NoF incentive mechanism. The model proposed is able to estimate the amount of resources that is available for a peer in the system at future instants of time. We also evaluate the accuracy of the model by running simulation experiments fed with field data. Our results show that in the worst scenario the proposed model is able to predict how much of a given demand for resources a peer is going to obtain from the grid with a mean prediction error of only 7.2%.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127023493","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

Distributed Diskless Checkpoint for Large Scale Systems 大规模系统的分布式无磁盘检查点

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.40

L. Bautista-Gomez, N. Maruyama, F. Cappello, S. Matsuoka

引用次数: 72

Multi-criteria Content Adaptation Service Selection Broker 多标准内容适应服务选择代理

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.128

M. F. M. Fudzee, J. Abawajy, M. M. Deris

引用次数: 14

A High-Level Interpreted MPI Library for Parallel Computing in Volunteer Environments 面向志愿环境并行计算的高级解释MPI库

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.85

T. LeBlanc, J. Subhlok, E. Gabriel

{"title":"A High-Level Interpreted MPI Library for Parallel Computing in Volunteer Environments","authors":"T. LeBlanc, J. Subhlok, E. Gabriel","doi":"10.1109/CCGRID.2010.85","DOIUrl":"https://doi.org/10.1109/CCGRID.2010.85","url":null,"abstract":"Idle desktops have been successfully used to run sequential and master-slave task parallel codes on a large scale in the context of volunteer computing. However, execution of message passing parallel programs in such environments is challenging because a pool of nodes to execute an application may have architectural and operating system heterogeneity, can include widely distributed nodes across security domains, and nodes may become unavailable for computation frequently and without warning. The VolPEx (Parallel Execution on Volatile Nodes) tool set is building MPI support in such environments based on selective use of process redundancy and message logging. However, addressing this challenge requires tradeoffs between performance, portability, and usability. The paper introduces a robust MPI library that is designed to be highly portable across heterogeneous architectures and operating systems. This VolpexPyMPI library is built with Python, works with Linux and Windows platforms and accepts user level MPI programs written in C or FORTRAN. The performance of VolpexPyMPI is compared with a traditional C based implementation of MPI. The paper examines in detail the tradeoffs of these usability focused and performance focused approaches.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115180368","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: 7

File-Access Characteristics of Data-Intensive Workflow Applications 数据密集型工作流应用程序的文件访问特性

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.77

Takeshi Shibata, SungJun Choi, K. Taura

引用次数: 9

Enabling the Next Generation of Scalable Clusters 启用下一代可扩展集群

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing Pub Date : 2010-05-17 DOI: 10.1109/CCGRID.2010.135

W. Gropp

{"title":"Enabling the Next Generation of Scalable Clusters","authors":"W. Gropp","doi":"10.1109/CCGRID.2010.135","DOIUrl":"https://doi.org/10.1109/CCGRID.2010.135","url":null,"abstract":"Clusters revolutionized computing by making supercomputer capabilities widely available. But one of the main drivers of that revolution, the rapid doubling of processor clock rates, ran out of steam several years ago. To maintain (or even increase) the historic rate of improvement in computing power, processor designs are rapidly increasing parallelism at all levels, including more functional units, more cores, and ways to share resources among threads. Heterogeneous designs that use more specialized processors such as GPGPUs are becoming common. The scale of high-end systems is also getting larger, with 1000-core systems becoming commonplace and systems with over 300,000 cores planned for 2011. However, the software and algorithms for these systems are still basically the same as when the cluster revolution began. Drawing on experiences with the sustained PetaFLOPS system, called Blue Waters, to be installed at Illinois in 2011, and with exploratory work into Exascale system designs, this talk will discuss some of the challenges facing the cluster community as scalability becomes increasingly important and reviews some of the developments in algorithms, programming models, and software frameworks that must complement the evolution of cluster hardware.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114235262","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: 0