Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)最新文献_第8页

IPMI-based Efficient Notification Framework for Large Scale Cluster Computing 基于ipmi的大规模集群计算高效通知框架

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.150

C. Leangsuksun, T. Rao, Anand Tikotekar, S. Scott, Richard Libby, J. Vetter, Yung-Chin Fang, H. Ong

引用次数: 11

Applying Trust Mechanisms in an agent-based P2P Network of Service Providers and Requestors 基于代理的P2P服务提供者和请求者网络信任机制的应用

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.123

Electra Tamani, P. Evripidou

引用次数: 5

Improving a Local Learning Technique for QueueWait Time Predictions 改进队列等待时间预测的局部学习技术

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.57

Hui Li, Juan Chen, Ying Tao, D. Groep, L. Wolters

{"title":"Improving a Local Learning Technique for QueueWait Time Predictions","authors":"Hui Li, Juan Chen, Ying Tao, D. Groep, L. Wolters","doi":"10.1109/CCGRID.2006.57","DOIUrl":"https://doi.org/10.1109/CCGRID.2006.57","url":null,"abstract":"Local learning has been proposed as a common framework to predict both application run times and queue wait times based on workload traces [8]. The queue wait time is shown to be more difficult and expensive to predict because its distance calculations typically involve not only job attributes but also resource states. In this paper methods and algorithms are investigated to improve prediction accuracy and prediction performance for queue wait times. Firstly, the so-called \"local tuning\" is adopted to tune parameters for each training subset divided by a pivot attribute (e.g., group or queue name). Bias-variance analysis of error is conducted on local tuning and its global counterparts - tuning parameters on the whole training set. A method is then developed to select tuning type adaptively based on the generalization error and bias-variance decomposition. Secondly, an efficient search tree structure called \"M-Tree\" is integrated into our algorithm to speed up k-nearest neighbor search. Experimental studies are conducted to evaluate the proposed methods and algorithms using real-world workload traces, which are collected from the NIKHEF production cluster on the LHC Computing Grid and Blue Horizon in the San Diego Supercomputer Center (SDSC). The results show that adaptive tuning can reduce the average prediction error by 3 to 10 percents compared to global tuning, and that the M-Tree nearest neighbor search is up to 8 times faster than the sequential search.","PeriodicalId":419226,"journal":{"name":"Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630623","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: 42

Enabling Transparent Data Sharing in Component Models 在组件模型中启用透明数据共享

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.40

Gabriel Antoniu, Hinde-Lilia Bouziane, Landry Breuil, M. Jan, Christian Pérez

引用次数: 15

Group-based dynamic computational replication mechanism in peer-to-peer grid computing 点对点网格计算中基于组的动态计算复制机制

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.142

SungJin Choi, MaengSoon Baik, Joon-Min Gil, Chan Yeol Park, S. Jung, C. Hwang

引用次数: 26

Solving the Protein Folding Problem with a Bicriterion Genetic Algorithm on the Grid 用双准则遗传算法求解网格上的蛋白质折叠问题

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.172

Alexandru-Adrian Tantar, N. Melab, E. Talbi, B. Toursel

引用次数: 2

Scalable Grid Application Scheduling via Decoupled Resource Selection and Scheduling 通过解耦资源选择和调度的可伸缩网格应用程序调度

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.89

Yang Zhang, A. Mandal, H. Casanova, A. Chien, Yang-Suk Kee, K. Kennedy, C. Koelbel

引用次数: 30

A relaxed-criteria bargaining protocol for grid resource management 一种网格资源管理的放宽标准议价协议

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.113

K. Sim, Ka Fung Ng

引用次数: 24

A portable grid infrastructure for resource-aware applications 用于资源感知应用程序的便携式网格基础设施

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.7

Michal Wegiel, G. Czajkowski, L. Daynès, K. Palacz

{"title":"A portable grid infrastructure for resource-aware applications","authors":"Michal Wegiel, G. Czajkowski, L. Daynès, K. Palacz","doi":"10.1109/CCGRID.2006.7","DOIUrl":"https://doi.org/10.1109/CCGRID.2006.7","url":null,"abstract":"Modern, resource-intensive enterprise and scientific applications are increasingly architected using parallel and distributed components deployed on grid platforms. Grid environments are typically heterogeneous and subject to large load variations. Such characteristics require a portable programming infrastructure and comprehensive support for resource management as well as dynamic adaptation to varying resource availability. Resource-aware applications pro-actively monitor and dynamically adapt their behavior to accommodate to changing resource consumption constraints. Strategies such as internal load-balancing and job re-submission can correct sub-optimal scheduling decisions and thus enhance performance. As utilizing the potential of resource awareness requires close interaction with resource management subsystems, implementations often rely on low-level, platform-specific features, which impair portability. What is needed is uncompromised portability of all aspects of resource management in grid systems. We demonstrate that the Java platform, equipped with the APIs for distributed resource management, can be used for building a portable grid infrastructure. In particular, we describe the design and implementation of a cluster management system capable of controlled execution of parallel, resource-aware Java applications. We empirically show that our solution allows for efficient, fine-grained resource management, sufficient for tapping the performance benefits promised by the resource-conscious applications.","PeriodicalId":419226,"journal":{"name":"Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130093080","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: 1

Supporting the collaborative construction of learning objects using the grid 支持使用网格协同构建学习对象

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06) Pub Date : 2006-05-16 DOI: 10.1109/CCGRID.2006.100

M. Rosatelli, H. Senger, Fabrício A. B. Silva, S. Stanzani, Cesar Nunes

引用次数: 3