2010 11th IEEE/ACM International Conference on Grid Computing最新文献_第2页

Fine-grained tracking of Grid infections 网格感染的细粒度跟踪

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697969

Ashish Gehani, Basim Baig, Salman Mahmood, Dawood Tariq, Fareed Zaffar

引用次数: 17

Accurate energy accounting for shared virtualized environments using PMC-based power modeling techniques 使用基于pmc的功率建模技术实现共享虚拟化环境的准确能源核算

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697889

Ramon Bertran Monfort, Y. Becerra, David Carrera, Vicencc Beltran, Marc González, X. Martorell, J. Torres, E. Ayguadé

{"title":"Accurate energy accounting for shared virtualized environments using PMC-based power modeling techniques","authors":"Ramon Bertran Monfort, Y. Becerra, David Carrera, Vicencc Beltran, Marc González, X. Martorell, J. Torres, E. Ayguadé","doi":"10.1109/GRID.2010.5697889","DOIUrl":"https://doi.org/10.1109/GRID.2010.5697889","url":null,"abstract":"Virtualized infrastructure providers demand new methods to increase the accuracy of the accounting models used to charge their customers. Future data centers will be composed of many-core systems that will host a large number of virtual machines (VMs) each. While resource utilization accounting can be achieved with existing system tools, energy accounting is a complex task when per-VM granularity is the goal. In this paper, we propose a methodology that brings new opportunities to energy accounting by adding an unprecedented degree of accuracy on the per-VM measurements. We present a system -which leverages CPU and memory power models based in performance monitoring counters (PMCs)- to perform energy accounting in virtualized systems. The contribution of this paper is twofold. First, we show that PMC-based power modeling methods are still valid on virtualized environments. And second, we introduce a novel methodology for accounting of energy consumption in virtualized systems. In overall, the results for an Intel® Core™ 2 Duo show errors in energy estimations below the 5%. Such approach brings flexibility to the chargeback models used by service and infrastructure providers. For instance, we show that VMs executed during the same amount of time, present more than 20% differences in energy consumption even only taking into account the consumption of the CPU and the memory.","PeriodicalId":6372,"journal":{"name":"2010 11th IEEE/ACM International Conference on Grid Computing","volume":"1 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91328574","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: 39

A parallel island-based hybrid genetic algorithm for precedence-constrained applications to minimize energy consumption and makespan 一种基于并行岛的混合遗传算法，用于优先级约束应用，以最小化能耗和完工时间

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697985

M. Mezmaz, Y. Kessaci, Young Choon Lee, N. Melab, E. Talbi, Albert Y. Zomaya, D. Tuyttens

引用次数: 12

High-performance remote data access for remote visualization 用于远程可视化的高性能远程数据访问

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697967

A. Hutanu, Gabrielle Allen, T. Kosar

引用次数: 7

Towards automating the configuration of a distributed storage system 迈向分布式存储系统配置自动化

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697971

L. Costa, M. Ripeanu

{"title":"Towards automating the configuration of a distributed storage system","authors":"L. Costa, M. Ripeanu","doi":"10.1109/GRID.2010.5697971","DOIUrl":"https://doi.org/10.1109/GRID.2010.5697971","url":null,"abstract":"Versatile storage systems aim to maximize storage resource utilization by supporting the ability to ‘morph’ the storage system to best match the application's demands. To this end, versatile storage systems significantly extend the deployment- or run-time configurability of the storage system. This flexibility, however, introduces a new problem: a much larger, and potentially dynamic, configuration space makes manually configuring the storage system an undesirable if not unfeasible task. This paper presents our initial progress towards answering the question: “How can we configure a distributed storage system (i.e., enable/disable its various optimizations and configure their parameters) with minimal human intervention?” We discuss why manually configuring the storage system is undesirable; present the success criteria for an automated configuration solution; propose a generic architecture that supports automated configuration; and, finally, instantiate this architecture into a first prototype, which controls the configuration of similarity detection optimizations in the MosaStore distributed storage system. Our evaluation results demonstrate that the prototype can provide performance close to the optimal configuration at the cost of minimal overhead.","PeriodicalId":6372,"journal":{"name":"2010 11th IEEE/ACM International Conference on Grid Computing","volume":"68 1","pages":"201-208"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78950648","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: 25

Dynamic Cloud provisioning for scientific Grid workflows 科学网格工作流的动态云配置

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697953

S. Ostermann, R. Prodan, T. Fahringer

{"title":"Dynamic Cloud provisioning for scientific Grid workflows","authors":"S. Ostermann, R. Prodan, T. Fahringer","doi":"10.1109/GRID.2010.5697953","DOIUrl":"https://doi.org/10.1109/GRID.2010.5697953","url":null,"abstract":"Scientific computing requires an ever-increasing number of resources to deliver results for growing problem sizes in a reasonable timeframe. In the last decade, while the largest research projects were able to afford expensive supercomputers, others were forced to opt for cheaper resources such as commodity clusters or computational Grids. Today, Cloud computing proposes an alternative by which resources are no longer hosted by the scientists' computational facilities, but leased from specialized data centers only when and for how long they are needed. In this paper, we analyze the problem of dynamic provisioning of Cloud resources to scientific workflows that do not have sufficient Grid resources available, as required by their computational demands. We propose and study four provisioning aspects that deal with the general leasing model encountered in today's commercial Cloud environments based on resource bulks, fuzzy descriptions, and hourly payment intervals: Cloud start, instance type, Grid rescheduling, and Cloud stop. We study the impact of our techniques to the overall execution time, overall cost, and cost per unit of saved time with respect to various instance types offered by the Amazon EC2.","PeriodicalId":6372,"journal":{"name":"2010 11th IEEE/ACM International Conference on Grid Computing","volume":"3 1","pages":"97-104"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89665264","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: 59

A proposal for WS-Agreement Negotiation WS-Agreement协商的建议

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697976

Dominic Battré, F. Brazier, K. Clark, M. Oey, A. Papaspyrou, Oliver Wäldrich, P. Wieder, W. Ziegler

引用次数: 36

A distributed storage system allowing application users to reserve I/O performance in advance for achieving SLA 分布式存储系统，允许应用用户提前预留I/O性能，实现SLA

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697948

Y. Tanimura, Hidetaka Koie, T. Kudoh, I. Kojima, Yoshio Tanaka

{"title":"A distributed storage system allowing application users to reserve I/O performance in advance for achieving SLA","authors":"Y. Tanimura, Hidetaka Koie, T. Kudoh, I. Kojima, Yoshio Tanaka","doi":"10.1109/GRID.2010.5697948","DOIUrl":"https://doi.org/10.1109/GRID.2010.5697948","url":null,"abstract":"Performance assurance has become an important aspect in grid and cloud computing which provide services over the Internet, and Service Level Agreements (SLA) are frequently contracted between users and the service providers. However, the I/O performance of the storage or data access service is still provided on a best effort basis. Some distributed storage systems implement performance reservation, but the reservation is implemented inside of the storage and works in an adaptive manner. In order to promise performance guarantees to users, we propose a distributed storage system allowing application users to explicitly make an advanced and time-based reservation for I/O access and storage space. Thus the requested performance is guaranteed during the reserved time. This paper describes our proposed concept and the design architecture of the storage system, including the reservation interface, resource management and I/O control frameworks. Then it explains our prototype which implements a simple resource allocation strategy and I/O control of the storage network along the design. The experiment results using the prototype are also shown. They indicate that the reservation cost entailed only a low performance impact on users, and that the requested performance was achieved by the reservation feature.","PeriodicalId":6372,"journal":{"name":"2010 11th IEEE/ACM International Conference on Grid Computing","volume":"25 31","pages":"193-200"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91479569","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

Cloud auto-scaling with deadline and budget constraints 具有截止日期和预算限制的云自动扩展

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697966

Ming Mao, Jie Li, M. Humphrey

{"title":"Cloud auto-scaling with deadline and budget constraints","authors":"Ming Mao, Jie Li, M. Humphrey","doi":"10.1109/GRID.2010.5697966","DOIUrl":"https://doi.org/10.1109/GRID.2010.5697966","url":null,"abstract":"Clouds have become an attractive computing platform which offers on-demand computing power and storage capacity. Its dynamic scalability enables users to quickly scale up and scale down underlying infrastructure in response to business volume, performance desire and other dynamic behaviors. However, challenges arise when considering computing instance non-deterministic acquisition time, multiple VM instance types, unique cloud billing models and user budget constraints. Planning enough computing resources for user desired performance with less cost, which can also automatically adapt to workload changes, is not a trivial problem. In this paper, we present a cloud auto-scaling mechanism to automatically scale computing instances based on workload information and performance desire. Our mechanism schedules VM instance startup and shut-down activities. It enables cloud applications to finish submitted jobs within the deadline by controlling underlying instance numbers and reduces user cost by choosing appropriate instance types. We have implemented our mechanism in Windows Azure platform, and evaluated it using both simulations and a real scientific cloud application. Results show that our cloud auto-scaling mechanism can meet user specified performance goal with less cost.","PeriodicalId":6372,"journal":{"name":"2010 11th IEEE/ACM International Conference on Grid Computing","volume":"10 1","pages":"41-48"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77340886","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: 336

How dynamic is the Grid? Towards a quality metric for Grid information systems 网格有多动态?面向网格信息系统的质量度量

2010 11th IEEE/ACM International Conference on Grid Computing Pub Date : 2010-10-01 DOI: 10.1109/GRID.2010.5697957

L. Field, R. Sakellariou

引用次数: 5