2013 IEEE 5th International Conference on Cloud Computing Technology and Science最新文献_第8页

Impact of CPU Utilization Thresholds and Scaling Size on Autoscaling Cloud Resources CPU利用率阈值和缩放大小对云资源自动伸缩的影响

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.142

F. Al-Haidari, M. Sqalli, K. Salah

{"title":"Impact of CPU Utilization Thresholds and Scaling Size on Autoscaling Cloud Resources","authors":"F. Al-Haidari, M. Sqalli, K. Salah","doi":"10.1109/CloudCom.2013.142","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.142","url":null,"abstract":"Cloud computing is currently one of the most hyped information technology fields and it has become one of the fastest growing segments of IT. A cloud introduces a resource-rich computing model with features such as flexibility, pay per use, elasticity, scalability, and others. In the context of cloud computing, auto scaling and elasticity are methods used to assure SLO (Service Level Objectives) for cloud services as well as the efficient usage of resources. There are many factors related to the auto scaling mechanism that might affect the performance of the cloud services. One of such important factors is the setting of CPU thresholds that control the triggering of the auto scaling policies, for the purpose of adding or terminating resources from the auto-scaling group. Another important factor is the scaling size, which is the number of instances that will be added every time such provisioning process takes place to add more resources to cope with workload spikes. In this paper, we simulate and study the impact of setting the upper CPU utilization threshold and the scaling size factors on the performance of the cloud services. Another contribution of this paper is on formulating and solving optimization problems for tuning these parameters based on input loads, considering both the cost and SLO response time. The study helps in deciding about the optimal setting that enables the use of the least number of cloud resources to satisfy QoS or SLO requirements.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129186408","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: 76

An Exact Placement Approach for Optimizing Cost and Recovery Time under Faulty Multi-cloud Environments 故障多云环境下优化成本和恢复时间的精确放置方法

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.116

Felipe Díaz Sánchez, S. A. Zahr, M. Gagnaire

引用次数: 10

Identity Federation with VOMS in Cloud Infrastructures 云基础设施中VOMS的身份联合

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.13

Á. García, E. Fernández-del-Castillo, Mattieu Puel

引用次数: 19

Mutant Apples: A Critical Examination of Cloud SLA Availability Definitions 变异苹果:云SLA可用性定义的关键检查

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.56

G. Hogben, Alain Pannetrat

{"title":"Mutant Apples: A Critical Examination of Cloud SLA Availability Definitions","authors":"G. Hogben, Alain Pannetrat","doi":"10.1109/CloudCom.2013.56","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.56","url":null,"abstract":"The paper examines the challenges of defining and measuring availability to support real-word service comparison and dispute resolution through SLAs. We propose a rigorous and unambiguous definition of availability in cloud services. In the light of this, we show that what appear to be apples-for-apples comparisons between real-world SLAs are often based on ambiguous definitions, and even where SLAs are well defined, they differ significantly in their interpretation of availability. We show how two example real-world SLAs, would lead one service provider to report 0% availability while another would report 100% for the same system state history. On the basis of this, the paper concludes by arguing for the importance of standardising availability definitions and examines which elements need to be standardised and, just as importantly, which do not. Many of the results of this paper can be generalised to service level attributes other than availability: in general, such standard service definitions are a key element of a true commodity market in cloud resources, allowing service comparability before purchase, redress in the case of failure to deliver expected value and enhancing accountability in the supply chain.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129465364","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: 15

An Analysis of Performance Interference Effects on Energy-Efficiency of Virtualized Cloud Environments 虚拟化云环境中性能干扰对能效的影响分析

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.22

Renyu Yang, Ismael Solís Moreno, Jie Xu, Tianyu Wo

{"title":"An Analysis of Performance Interference Effects on Energy-Efficiency of Virtualized Cloud Environments","authors":"Renyu Yang, Ismael Solís Moreno, Jie Xu, Tianyu Wo","doi":"10.1109/CloudCom.2013.22","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.22","url":null,"abstract":"Co-allocated workloads in a virtualized computing environment often have to compete for resources, thereby suffering from performance interference. While this phenomenon has a direct impact on the Quality of Service provided to customers, it also changes the patterns of resource utilization and reduces the amount of work per Watt consumed. Unfortunately, there has been only limited research into how performance interference affects energy-efficiency of servers in such environments. In reality, there is a highly dynamic and complicated correlation among resource utilization, performance interference and energy-efficiency. This paper presents a comprehensive analysis that quantifies the negative impact of performance interference on the energy-efficiency of virtualized servers. Our analysis methodology takes into account the heterogeneous workload characteristics identified from a real Cloud environment. In particular, we investigate the impact due to different workload type combinations and develop a method for approximating the levels of performance interference and energy-efficiency degradation. The proposed method is based on profiles of pair combinations of existing workload types and the patterns derived from the analysis. Our experimental results reveal a non-linear relationship between the increase in interference and the reduction in energy-efficiency as well as an average precision within +/-5% of error margin for the estimation of both parameters. These findings provide vital information for research into dynamic trade-offs between resource utilization, performance, and energy-efficiency of a data center.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124296697","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: 13

Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition 利用需求分解实现高效的云软件部署

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.159

A. Alkhalid, Chung-Horng Lung, S. Ajila

{"title":"Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition","authors":"A. Alkhalid, Chung-Horng Lung, S. Ajila","doi":"10.1109/CloudCom.2013.159","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.159","url":null,"abstract":"The major advancement in distributed and High Performance Computing (HPC) systems is the development and evolution of clouds, applications that operate these clouds, and services provided by them. Cloud computing applications are expected to facilitate running complex systems on data centers containing storage and computing units in the range of tens to hundreds of thousands of devices. Meeting the needs of cloud computing systems makes the software deployment process a challenging task. The challenge comes from difficulty in managing the tradeoffs over various dimensions, such as interaction, performance, and security while making deployment decisions. Making deployment decisions exceeds human capability in light of huge increase in computation/storage units in the clouds and software systems running on these clouds. Therefore, autonomic approaches to assist software designers in making the software deployment decisions are important. In this paper, we propose an approach based on clustering techniques for deploying software components on the cloud using requirements decomposition. The paper also demonstrates a validation study of the proposed approach with a case study.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121545420","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

E-Id Authentication and Uniform Access to Cloud Storage Service Providers E-Id认证和云存储服务提供商统一接入

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.71

J. Gouveia, P. Crocker, S. Sousa, Ricardo Azevedo

{"title":"E-Id Authentication and Uniform Access to Cloud Storage Service Providers","authors":"J. Gouveia, P. Crocker, S. Sousa, Ricardo Azevedo","doi":"10.1109/CloudCom.2013.71","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.71","url":null,"abstract":"This article describes an architecture for authentication and uniform access to protected data stored on popular Cloud Storage Service Providers. This architecture takes advantage of the OAuth authentication mechanism and the strong authentication mechanism of the National Electronic Identity (E-Id) Cards, in our case the Portuguese E-Id card or Cartao de Cidadao (CC). We shall present a comparison of authentication mechanisms and access to popular cloud storage providers, comparing the different authentication mechanisms OAuth 1.0, OAuth 1.0a and OAuth 2.0. Using the proposed architecture we have developed an implementation of this architecture that provides a uniform web based access to popular Cloud Storage Service Providers such as Drop box, Skydrive, Cloudpt and Google Drive using the authentication mechanism of the E-Id card as a unique access token. In order to provide a uniform access to these services we shall describe the differences in the various REST APIs for the targeted providers. Finally the web application that allows users that hold E-Id cards a single point of access to their various cloud storage services will be presented.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117289891","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: 11

A Self-Organizing Architecture for Cloud by Means of Infrastructure Performance and Event Data 基于基础设施性能和事件数据的云自组织架构

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.70

M. Serrano, M. Hauswirth, Nikos Kefalakis, J. Soldatos

{"title":"A Self-Organizing Architecture for Cloud by Means of Infrastructure Performance and Event Data","authors":"M. Serrano, M. Hauswirth, Nikos Kefalakis, J. Soldatos","doi":"10.1109/CloudCom.2013.70","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.70","url":null,"abstract":"The management performance of cloud systems is measured by the capacity of the cloud for controlling virtual infrastructures and their capability to run parallel-computing applications and distributed-processing services independently. The challenge about how this management performance can be done more dynamically (self-organization) by means of distributed user data and application data demands is yet an area to explore. This paper introduces first a functional architecture design, following the principles for cloud-based service lifecycle control and service composition in cloud, and second an in-house approach enabling self-organization for cloud services controlling the installation of virtual machines by using event-driven management operations acting as a proof of concept implementation. From a management point of view in cloud, enabling control of virtual infrastructures as a response to performance protocols by means of event(s) data processing is fundamental. Likewise managing cloud services lifecycle by enabling scalable applications and using distributed information systems and linked data processing, guarantee the self-organizing feature for cloud systems. Finally multiple advantages arise when infrastructure performance and end user data are used in cloud service management as it is discussed in this paper.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115978945","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: 8

Privacy Risk, Security, Accountability in the Cloud 云中的隐私风险、安全性和问责制

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.31

M. Theoharidou, N. Papanikolaou, Siani Pearson, D. Gritzalis

引用次数: 48

Competitive K-Means, a New Accurate and Distributed K-Means Algorithm for Large Datasets 竞争K-Means，一种新的面向大数据集的精确分布式K-Means算法

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.89

R. Esteves, T. Hacker, Chunming Rong

{"title":"Competitive K-Means, a New Accurate and Distributed K-Means Algorithm for Large Datasets","authors":"R. Esteves, T. Hacker, Chunming Rong","doi":"10.1109/CloudCom.2013.89","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.89","url":null,"abstract":"The tremendous growth in data volumes has created a need for new tools and algorithms to quickly analyze large datasets. Cluster analysis techniques, such as K-means can be used for large datasets distributed across several machines. The accuracy of K-means depends on the selection of seed centroids during initialization. K-means++ improves on the K-means seeder, but suffers from problems when it is applied to large datasets: (a) the random algorithm it employs can produce inconsistent results across several analysis runs under the same initial conditions; and (b) it scales poorly for large datasets. In this paper we describe a new Competitive K-means algorithm we developed that addresses both of these problems. We describe an efficient MapReduce implementation of our new Competitive K-means algorithm that we found scales well with large datasets. We compared the performance of our new algorithm with three existing cluster analysis algorithms and found that our new algorithm improves cluster analysis accuracy and decreases variance. Our results show that our new algorithm produced a speedup of 76 ± 9 times compared with the serial K-means++ and is as fast as the Streaming K-means. Our work provides a method to select a good initial seeding in less time, facilitating accurate cluster analysis over large datasets in shorter time.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131586401","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: 51