2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid最新文献_第5页

Optimal Power Management for Server Farm to Support Green Computing

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.89

D. Niyato, Sivadon Chaisiri, Bu-Sung Lee

{"title":"Optimal Power Management for Server Farm to Support Green Computing","authors":"D. Niyato, Sivadon Chaisiri, Bu-Sung Lee","doi":"10.1109/CCGRID.2009.89","DOIUrl":"https://doi.org/10.1109/CCGRID.2009.89","url":null,"abstract":"Green computing is a new paradigm of designing the computer system which considers not only the processing performance but also the energy efficiency. Power management is one of the approaches in green computing to reduce the power consumption in distributed computing system. In this paper, we first propose an optimal power management (OPM) used by a batch scheduler in a server farm. This OPM observes the state of a server farm and makes the decision to switch the operation mode (i.e., active or sleep) of the server to minimize the power consumption while the performance requirements are met. An optimization problem based on constrained Markov decision process (CMDP) is formulated and solved to obtain an optimal decision of OPM. Given that OPM is used in the server farm, then an assignment of users to the server farms by a job broker is considered. This assignment is to ensure that the cost due to power consumption and network transportation is minimized. The performance of the system is extensively evaluated. The result shows that with OPM the job waiting time can be maintained below the maximum threshold while the power consumption is much smaller than that without OPM.","PeriodicalId":118263,"journal":{"name":"2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132046064","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: 75

Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids 计算网格下工作流应用的容错与调度技术

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.59

Yang Zhang, A. Mandal, C. Koelbel, K. Cooper

引用次数: 68

Distributed Indexing for Resource Discovery in P2P Networks 面向P2P网络资源发现的分布式索引

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.57

M. Hentschel, Maozhen Li, M. Ponraj, M. Qi

引用次数: 5

On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud 使用Amazon的弹性计算云为BPEL工作流提供按需资源配置

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.30

Tim Dörnemann, Ernst Juhnke, Bernd Freisleben

引用次数: 142

Self-Chord: A Bio-inspired Algorithm for Structured P2P Systems 自弦:结构化P2P系统的生物启发算法

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.39

Agostino Forestiero, C. Mastroianni, M. Meo

引用次数: 34

Handling Persistent States in Process Checkpoint/Restart Mechanisms for HPC Systems 处理HPC系统进程检查点/重启机制中的持久状态

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.29

Pierre Riteau, A. Lèbre, C. Morin

引用次数: 7

Hierarchical Caches for Grid Workflows 网格工作流的分层缓存

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.10

David Chiu, G. Agrawal

{"title":"Hierarchical Caches for Grid Workflows","authors":"David Chiu, G. Agrawal","doi":"10.1109/CCGRID.2009.10","DOIUrl":"https://doi.org/10.1109/CCGRID.2009.10","url":null,"abstract":"From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and cluster paradigms, middlewares and other large-scale applications often seek caching solutions. Among these distributed applications, scientific workflow management systems have gained ground towards mitigating the often painstaking process of composing sequences of scientific data sets and services to derive virtual data. In the past, workflow managers have relied on low-level system cache for reuse support. But in distributed query intensive environments, where high volumes of intermediate virtual data can potentially be stored anywhere on the grid, a novel cache structure is needed to efficiently facilitate workflow planning. In this paper, we describe an approach to combat the challenges of maintaining large, fast virtual data caches for workflow composition. A hierarchical structure is proposed for indexing scientific data with spatiotemporal annotations across grid nodes. Our experimental results show that our hierarchical index is scalable and outperforms a centralized indexing scheme by an exponential factor in query intensive environments.","PeriodicalId":118263,"journal":{"name":"2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126804306","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

Self-Tuning Virtual Machines for Predictable eScience 面向可预测科学的自调优虚拟机

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.84

Sang-Min Park, M. Humphrey

引用次数: 47

GenLM: License Management for Grid and Cloud Computing Environments GenLM:网格和云计算环境的许可证管理

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.31

M. Dalheimer, F. Pfreundt

引用次数: 32

File Clustering Based Replication Algorithm in a Grid Environment 网格环境下基于文件聚类的复制算法

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid Pub Date : 2009-05-18 DOI: 10.1109/CCGRID.2009.73

Hitoshi Sato, S. Matsuoka, Toshio Endo

{"title":"File Clustering Based Replication Algorithm in a Grid Environment","authors":"Hitoshi Sato, S. Matsuoka, Toshio Endo","doi":"10.1109/CCGRID.2009.73","DOIUrl":"https://doi.org/10.1109/CCGRID.2009.73","url":null,"abstract":"Replication in grid file systems can significantly improve I/O performance of data-intensive applications. However, most of existing replication techniques apply to individual files, which may introduce inefficient replication overheads for a large number of files. We propose a file clustering based replication algorithm for grid file systems. Our algorithm groups files according to a relationship of simultaneous accesses between files and stores replicas of the clustered files into storage nodes, to satisfy expected most of future read access times to the clustered files and replication times for individual files being minimized under the given storage capacity limitation. Our experiments on a given grid environment, 20 nodes of 5 sites, suggest that the proposed algorithm achieves accurate file clustering and efficient replica management; our clustering policy with the file cluster size limit of 5120 MB and the storage capacity limit for replicas of 10240 MB exhibits 1.58 times efficiency than the policy that never groups related files. The results also indicate that the overheads required for introducing our algorithm significantly affect I/O performance of running applications.","PeriodicalId":118263,"journal":{"name":"2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126730950","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