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

On the Performance of Virtualized Infrastructures for Processing Realtime Streaming Data 处理实时流数据的虚拟化基础设施性能研究

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.15

Kathleen Ericson, S. Pallickara

{"title":"On the Performance of Virtualized Infrastructures for Processing Realtime Streaming Data","authors":"Kathleen Ericson, S. Pallickara","doi":"10.1109/UCC.2012.15","DOIUrl":"https://doi.org/10.1109/UCC.2012.15","url":null,"abstract":"Clouds have become ubiquitous and several data processing tasks have migrated to these settings. The dominant approach in cloud settings is to provision virtual machines (VMs) rather than provision direct access to the physical machine. One artifact of such provisioning is that multiple VMs may be collocated on the same physical machine and possibly interfere with each other. In this paper, we focus on the impact of virtualized infrastructures on real time stream processing, we use the classification of electrocardiograms (ECG) as a motivating example. Stream processing in such a setting strains resources differently than the traditional web services or analytics on large datasets traditionally performed in the cloud. In streaming environments all processing per packet needs to be completed in a timely manner, and the number and rate at which these packets are generated is high. Our focus is to study the implications of various combinations of virtualization strategies on the performance of real time stream processing. We have done extensive performance benchmarks (using Xen and KVM) the results of which form the basis for our recommendations for the trade-offs involved in these settings.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802364","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: 4

Do More Replicas of Object Data Improve the Performance of Cloud Data Centers? 对象数据副本越多，云数据中心的性能就越好吗?

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.11

Zeng Zeng, B. Veeravalli

{"title":"Do More Replicas of Object Data Improve the Performance of Cloud Data Centers?","authors":"Zeng Zeng, B. Veeravalli","doi":"10.1109/UCC.2012.11","DOIUrl":"https://doi.org/10.1109/UCC.2012.11","url":null,"abstract":"Nowadays, more and more researchers have focused on the performance of cloud data centers. Successful development of cloud data center paradigm necessitates the best QoS for the end users and the Mean Response Time (MRT) of the data requests is one of the most important performance indicators that shall be emphasized on. A cloud data center consists clusters of Rawdata Servers (RDS) that can provide raw data retrieval service. For a single data stored in the data center, there may be several RDS with the target raw data replicas. Hence, when a data request arriving, it has many potential data request paths and the system shall determine the best one for it. In this paper, we aim at answering an interesting question: “Do More Replicas of Object Data Improve the Performance of Cloud Data Centers?”, in order to achieve the minimum MRT of all the requests. The target optimal constrained function has been formulated and two novel load balancing algorithms based on virtual routing method has been proposed, which can achieve near-optimal solutions by theoretical proof. We also found distributing the requests for the same objects among several RDS for load balancing purpose, which is widely used in most data centers, would worsen the system performance. We validate our findings via rigorous simulations with respect to several influencing factors and prove that our proposed strategy is scalable, flexible and efficient for the real-life applications.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750148","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: 10

Autonomic Management of Cloud Neighborhoods through Pulse Monitoring 基于脉冲监测的云社区自主管理

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.60

T. Lorimer, Roy Sterritt

引用次数: 5

Discrete Control for the Coordination of Administration Loops 行政循环协调的离散控制

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.57

Soguy Mak Karé Gueye, É. Rutten, A. Tchana

{"title":"Discrete Control for the Coordination of Administration Loops","authors":"Soguy Mak Karé Gueye, É. Rutten, A. Tchana","doi":"10.1109/UCC.2012.57","DOIUrl":"https://doi.org/10.1109/UCC.2012.57","url":null,"abstract":"The increasing complexity of computer systems has led to the automation of administration functions, in the form of autonomic managers. One important aspect requiring such management is the issue of energy consumption of computing systems, in the perspective of green computing. As these managers address each a specic aspect, there is a need for using several managers to cover all the domains of administration. However, coordinating them is necessary for proper and eective global administration. Such coordination is a problem of synchronization and logical control of administration operations that can be applied by autonomous managers on the managed system at a given time in response to events observed on the state of this system. We therefore propose to investigate the use of reactive models with events and states, and discrete control techniques to solve this problem. In this paper, we illustrate this approach by integrating a controller obtained by synchronous programming, based on Discrete Controller Synthesis, in an autonomic system administration infrastructure. The role of this controller is to orchestrate the execution of reconfiguration operations of all administration policies to satisfy properties of logical consistency. We apply this approach to coordinate three managers : two energy-aware ones, which control server provisioning and processor frequency, and a repair manager.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488785","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: 5

A Semantic Framework to Support Cloud Markets in Interoperable Scenarios 在互操作场景中支持云市场的语义框架

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.24

G. Modica, G. Petralia, O. Tomarchio

引用次数: 7

Using Layered Bottlenecks for Virtual Machine Provisioning in the Clouds 在云中的虚拟机配置中使用分层瓶颈

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.10

Yasir Shoaib, O. Das

引用次数: 6

An Inter-cloud Outsourcing Model to Scale Performance, Availability and Security 可扩展性能、可用性和安全性的跨云外包模型

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.16

E. Casalicchio, L. Silvestri

引用次数: 8

Understanding Elasticity of Cloud Services Compositions 理解云服务组合的弹性

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.58

T. Baker, A. Taleb-Bendiab, M. Randles, A. Hussien

引用次数: 5

A Cloud-Based Architecture for Citizen Services in Smart Cities 智慧城市中基于云的市民服务架构

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1109/UCC.2012.43

Z. Khan, Saad Liaquat

{"title":"A Cloud-Based Architecture for Citizen Services in Smart Cities","authors":"Z. Khan, Saad Liaquat","doi":"10.1109/UCC.2012.43","DOIUrl":"https://doi.org/10.1109/UCC.2012.43","url":null,"abstract":"With continuous increase in urban population, the need to plan and implement smart cities based solutions for better urban governance is becoming more evident. These solutions are driven, on the one hand, by innovations in ICT and, on the other hand, to increase the capability and capacity of cities to mitigate environmental, social inclusion, economic growth and sustainable development challenges. In this respect, citizens' science or public participation provides a key input for informed and intelligent planning decision and policy making. However, the challenge here is to facilitate public in acquiring the right contextual information in order to be more productive, innovative and be able to make appropriate decisions which impact on their well being, in particular, and economic and environmental sustainability in general. Such a challenge requires contemporary ICT solutions, such as using Cloud computing, capable of storing and processing significant amount of data and produce intelligent contextual information. However, processing and visualising contextual information in a Cloud environment is not straightforward due to user profiling and contextual segregation of data that could be used in different applications of a smart city. In this regard, we present a Cloud-based architecture for context-aware citizen services for smart cities and walkthrough it using a hypothetical case study.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422570","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: 83

CPU Frequency Emulation Based on DVFS 基于DVFS的CPU频率仿真

2012 IEEE Fifth International Conference on Utility and Cloud Computing Pub Date : 2012-11-05 DOI: 10.1145/2553070.2553076

Christine Mayap Kamga

{"title":"CPU Frequency Emulation Based on DVFS","authors":"Christine Mayap Kamga","doi":"10.1145/2553070.2553076","DOIUrl":"https://doi.org/10.1145/2553070.2553076","url":null,"abstract":"Nowadays, virtualization is present in almost all computing infrastructures. Thanks to VM migration and server consolidation, virtualization helps in reducing power consumption in distributed environments. On another side, Dynamic Voltage and Frequency Scaling (DVFS) allows servers to dynamically modify the processor frequency (according to the CPU load) in order to achieve less energy consumption. We observe that DVFS is mainly used, but still generates a waste of energy. In fact, the DVFS frequency scaling policies are based on advertised processor frequency. By default and thanks to the on demand governor, it scales up or down the processor frequency according to the current load and the different predefined threshold (up and down). However, the set of frequencies constitutes a discrete range of frequencies. In this case, the frequency required for a specific load will almost be scaled to a frequency more higher than expected, which leads to a non-efficient use of energy. In this paper, we analyze and address a way of emulating a precise CPU frequency thanks to the DVFS management in virtualized environments. We implemented and evaluated our prototype in the Xen hyper visor.","PeriodicalId":122639,"journal":{"name":"2012 IEEE Fifth International Conference on Utility and Cloud Computing","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887049","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: 21