2012 IEEE Fifth International Conference on Cloud Computing最新文献_第2页

Analysis of the Power Consumption of a Multimedia Server under Different DVFS Policies 不同DVFS策略下多媒体服务器功耗分析

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.31

W. Dargie

{"title":"Analysis of the Power Consumption of a Multimedia Server under Different DVFS Policies","authors":"W. Dargie","doi":"10.1109/CLOUD.2012.31","DOIUrl":"https://doi.org/10.1109/CLOUD.2012.31","url":null,"abstract":"Dynamic voltage and frequency scaling (DVFS) has been a useful power management strategy in embedded systems, mobile devices, and wireless sensor networks. Recently, it has also been proposed for servers and data centers in conjunction with service consolidation and optimal resource-pool sizing. In this paper, we experimentally investigate the scope and usefulness of DVFS in a server environment. We set up a multimedia server which will be used in two different scenarios. In the first scenario, the server will host requests to download video files of known and available formats. In the second scenario, videos of unavailable formats can be accepted; in which case the server employs a trans coder to convert between AVI, MPEG and SLV formats before the videos are downloaded. The workload we generate has a uniform arrival rate and an exponentially distributed video size. We use four dynamic scaling policies which are widely used with existing mainstream Linux operating systems. Our observation is that while the gain of DVFS is clear in the first scenario (in which a predominantly IO-bound application is used), its use in the second scenario is rather counterproductive.","PeriodicalId":214084,"journal":{"name":"2012 IEEE Fifth International Conference on Cloud Computing","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127641526","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: 18

Analysis of the Power and Hardware Resource Consumption of Servers under Different Load Balancing Policies 不同负载均衡策略下服务器功耗和硬件资源消耗分析

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.30

W. Dargie, A. Schill

{"title":"Analysis of the Power and Hardware Resource Consumption of Servers under Different Load Balancing Policies","authors":"W. Dargie, A. Schill","doi":"10.1109/CLOUD.2012.30","DOIUrl":"https://doi.org/10.1109/CLOUD.2012.30","url":null,"abstract":"Most Internet applications employ some kind of load balancing policies in a cluster setting to achieve reliable service provision as well as to deal with a resource bottleneck. However, these policies may not ensure the utilization of textit{all} of the hardware resources in a server equally efficiently. This paper experimentally investigates the relationship between the power consumption and resource utilization of a multimedia server cluster when different load balancing policies are used to distribute a workload. Our observations are the following: (1) A bottleneck on a single hardware resource can lead to a significant amount of underutilization of the entire system. (2) A ten times increment in the network bandwidth of the entire cluster can double the throughput of individual servers. The associated increment in power consumption of the individual servers is 1.2% only. (3) For TCP-based applications, session information is more useful than other types of status information to utilize power more efficiently. (4) The use of dynamic frequency scaling does not affect the overall throughput of IO-bound applications but reduces the power consumption of the servers; but this reduction is only 12% of the overall power consumption. More power can be saved by avoiding a resource bottleneck or through service consolidation.","PeriodicalId":214084,"journal":{"name":"2012 IEEE Fifth International Conference on Cloud Computing","volume":"481 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131918284","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

Minimum Cost Maximum Flow Algorithm for Dynamic Resource Allocation in Clouds 云环境中动态资源分配的最小成本最大流量算法

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.36

Makhlouf Hadji, D. Zeghlache

引用次数: 69

Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures 云计算和高性能计算基础设施的图像管理和通用图像配准

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.94

Javier Diaz, G. Laszewski, Fugang Wang, G. Fox

{"title":"Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures","authors":"Javier Diaz, G. Laszewski, Fugang Wang, G. Fox","doi":"10.1109/CLOUD.2012.94","DOIUrl":"https://doi.org/10.1109/CLOUD.2012.94","url":null,"abstract":"Cloud computing has become an important driver for delivering infrastructure as a service (IaaS) to users with on-demand requests for customized environments and sophisticated software stacks. Within the FutureGrid (FG) project, we offer different IaaS frameworks as well as high performance computing infrastructures by allowing users to explore them as part of the FG testbed. To ease the use of these infrastructures, as part of performance experiments, we have designed an image management framework, which allows us to create user defined software stacks based on abstract image management and uniform image registration. Consequently, users can create their own customized environments very easily. The complex processes of the underlying infrastructures are managed by our sophisticated software tools and services. Besides being able to manage images for IaaS frameworks, we also allow the registration and deployment of images onto bare-metal by the user. This level of functionality is typically not offered in a HPC (high performance computing) infrastructure. However, our approach provides users with the ability to create their own environments changing the paradigm of administrator-controlled dynamic provisioning to user-controlled dynamic provisioning, which we also call raining. Thus, users obtain access to a testbed with the ability to manage state-of-the-art software stacks that would otherwise not be supported in typical compute centers. Security is also considered by vetting images before they are registered in a infrastructure. In this paper, we present the design of our image management framework and evaluate two of its major components. This includes the image creation and image registration. Our design and implementation can support the current FG user community interested in such capabilities.","PeriodicalId":214084,"journal":{"name":"2012 IEEE Fifth International Conference on Cloud Computing","volume":"587 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134337850","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: 19

Semantically-Rich Composition of Virtual Images 语义丰富的虚拟图像组成

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.40

Fábio Oliveira, T. Eilam, M. Kalantar, Florian Rosenberg

引用次数: 4

A Brokerage-Based Approach for Cloud Service Selection 基于经纪的云服务选择方法

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.119

Smitha Sundareswaran, A. Squicciarini, D. Lin

引用次数: 185

A Profit-Aware Virtual Machine Deployment Optimization Framework for Cloud Platform Providers 面向云平台提供商的利润感知虚拟机部署优化框架

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.60

Wei Chen, Xiaoqiang Qiao, Jun Wei, Tao Huang

{"title":"A Profit-Aware Virtual Machine Deployment Optimization Framework for Cloud Platform Providers","authors":"Wei Chen, Xiaoqiang Qiao, Jun Wei, Tao Huang","doi":"10.1109/CLOUD.2012.60","DOIUrl":"https://doi.org/10.1109/CLOUD.2012.60","url":null,"abstract":"As a rising application paradigm, cloud computing enables the resources to be virtualized and shared among applications. In a typical cloud computing scenario, customers, Service Providers (SP), and Platform Providers (PP) are independent participants, and they have their own objectives with different revenues and costs. From PPs' viewpoints, much research work reduced the costs by optimizing VM placement and deciding when and how to perform the VM migrations. However, some work ignored the fact that the balanced use of the multi-dimensional resources can affect overall resource utilization significantly. Furthermore, some work focuses on the selection of the VMs and the target servers without considering how to perform the reconfigurations. In this paper, with a comprehensive consideration of PPs' interests, we propose a framework to improve their profits by maximizing the resource utilization and reducing the reconfiguration costs. Firstly, we use the vector arithmetic to model the objective of balancing the multi-dimensional resources use and propose a VM deployment optimization method to maximize the resource utilization. Then a two-level runtime reconfiguration strategy, including local adjustment and VM parallel migration, is presented to reduce the VM migration and shorten the total migration time. Finally, we conduct some preliminary experiments, and the results show that our framework is effective in maximizing the resource utilization and reducing the costs of the runtime reconfiguration.","PeriodicalId":214084,"journal":{"name":"2012 IEEE Fifth International Conference on Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132432567","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: 35

Enterprise Architectures for Cloud Computing 云计算的企业架构

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.149

L. Aureli, Arianna Pierfranceschi, H. Wache

引用次数: 4

Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition 优化数据分区的高效Map/ reduce DBSCAN算法

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.42

Bi-Ru Dai, I-Chang Lin

引用次数: 100

Video Surveillance Based on Cloud Storage 基于云存储的视频监控

2012 IEEE Fifth International Conference on Cloud Computing Pub Date : 2012-06-24 DOI: 10.1109/CLOUD.2012.44

D. Rodríguez-Silva, Lilian Adkinson-Orellana, F. González-Castaño, I. Armiño-Franco, David González-Martínez

引用次数: 65