2011 IEEE Third International Conference on Cloud Computing Technology and Science最新文献_第2页

A Framework for Dynamic Resource Provisioning and Adaptation in IaaS Clouds IaaS云中动态资源供应和适应的框架

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.49

T. Duong, Xiaorong Li, R. Goh

{"title":"A Framework for Dynamic Resource Provisioning and Adaptation in IaaS Clouds","authors":"T. Duong, Xiaorong Li, R. Goh","doi":"10.1109/CloudCom.2011.49","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.49","url":null,"abstract":"Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation. The core of the framework is a set of resource adaptation algorithms that are capable of making informed provisioning decisions to adapt to workload fluctuations. The framework is designed to manage multiple sets of resources acquired from different cloud providers, and to interact with different local resource managers. We have developed a fully functional web-service based prototype of this framework, and used it for performance evaluation of various resource adaptation algorithms under different realistic settings, e.g. when input data such as jobs' wall times are inaccurate. Extensive experiments have been conducted with both synthetic and real workload traces obtained from the Grid Workload Archives, more specifically the traces from the Large Hadron Collider Computing Grid. The results demonstrate the effectiveness and robustness of our proposed algorithms.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124652830","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

An Initial Survey on Integration and Application of Cloud Computing to High Performance Computing 云计算在高性能计算中的集成与应用初探

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.94

T. Wlodarczyk, Chunming Rong

引用次数: 12

Security Framework for Virtualised Infrastructure Services Provisioned On-demand 按需提供虚拟化基础设施服务的安全框架

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.108

C. Ngo, Peter Membrey, Y. Demchenko, C. D. Laat

{"title":"Security Framework for Virtualised Infrastructure Services Provisioned On-demand","authors":"C. Ngo, Peter Membrey, Y. Demchenko, C. D. Laat","doi":"10.1109/CloudCom.2011.108","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.108","url":null,"abstract":"Cloud computing is developing as a new wave of ICT technologies, offering a common approach to on-demand provisioning computation, storage and network resources which are generally referred to as infrastructure services. Most of currently available commercial Cloud services are built and organized reflecting simple relations between single provider and single customer with simple security and trust model. New architectural models should allow multi-provider heterogeneous services environment that can be delivered to organizational customers representing multiple user groups. These models should be supported by new security approaches to create consistent security services in virtualised multi-provider Cloud environment and incorporate complex access control and trust relations among Cloud actors. The paper analyzes basis use cases in Cloud services provisioning and defines a security infrastructure reference model which is used to define other security infrastructure aspects such as dynamic trust management, distributed access control, policy and security context management. It also provides information about ongoing implementation of the proposed Dynamic Access Control Infrastructure based on Enterprise Service Bus as a part of complex infrastructure services provisioning system.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128020407","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

GEMBus as a Service Oriented Platform for Cloud-Based Composable Services GEMBus作为基于云的可组合服务的面向服务平台

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.103

M. Grammatikou, C. Marinos, Y. Demchenko, D. López, K. Dombek, Jordi Jofre

{"title":"GEMBus as a Service Oriented Platform for Cloud-Based Composable Services","authors":"M. Grammatikou, C. Marinos, Y. Demchenko, D. López, K. Dombek, Jordi Jofre","doi":"10.1109/CloudCom.2011.103","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.103","url":null,"abstract":"Cloud computing has become a common technology for provisioning infrastructure services on-demand. Modern Cloud platforms can provide cloud-based applications, software, deployment platforms, or general infrastructure services that may include both computational and storage resources. However existing Cloud provisioning models are based on proprietary solutions and don't allow the combination of services from different providers and/or user legacy application that usually are present in user home organizations or campus networks. This paper introduces GEM Bus (GEANT Multi-domain Bus), a service-oriented middleware platform that allows flexible services composition, and their on-demand provisioning and deployment to create new specialized task-oriented services and applications. GEM Bus is built upon state-of-the-art Enterprise Service Bus (ESB) technologies and extend them with new functionalities that allow dynamic component services deployment, composition and management. The current paper discusses the general case for integration of Service-Oriented Architecture (SOA) principles and technologies with the provision and deployment mechanisms of Cloud-based platforms to support on-demand infrastructure services provisioning. It describes the Composable Services Architecture (CSA) that provides a general framework for GEM Bus services design and operation. The paper also presents the current GEM Bus implementation status and discusses how it can be applied as a general SOA platform for Cloud-based service provisioning. Finally, it discusses the practical use case of the federated network monitoring service that can be used as integration component in creating/building GEM Bus based Cloud infrastructure services.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125432979","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

Virtual Infrastructure Planning in Elastic Cloud Deploying Optical Networking 弹性云部署光网络中的虚拟基础设施规划

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.106

M. Anastasopoulos, A. Tzanakaki, K. Georgakilas

引用次数: 6

Impact of Resource over-Reservation (ROR) and Dropping Policies on Cloud Resource Allocation 资源超额预留和删除策略对云资源分配的影响

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.69

Felipe Díaz Sánchez, E. Doumith, M. Gagnaire

{"title":"Impact of Resource over-Reservation (ROR) and Dropping Policies on Cloud Resource Allocation","authors":"Felipe Díaz Sánchez, E. Doumith, M. Gagnaire","doi":"10.1109/CloudCom.2011.69","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.69","url":null,"abstract":"In Cloud environment, Cloud Providers (CP) grant access to computing and storage resources through Web-portals. Resource virtualization is a key enabler for providing such services. Thanks to virtualization, multiple Virtual Machines (VMs) can be hosted by the same Physical Machine (PM). Existing CPs, such as Amazon Web Services and Windows Azure, offer pre-configured VMs with fixed-size computing, storage and network capacities. In this context, end-users can only choose from a set of predefined VM instances offered by the CPs. However, it is expected that, in the near-future, end-users will be able to access the Cloud without any restriction on the size of the required resources. They will be charged according to the amount of resources used. In such scenario, the major problem faced by a CP is to select the appropriate PM that will host a new VM while still satisfying the end-user requirements. This resource allocation problem is similar to the well-known online Bin Packing problem. In this paper, we investigate several algorithms that were proposed to solve the Bin Packing problem, and compare them in a Cloud environment in terms of resource utilization and percentage of dropped VMs. The novel concept of Resource Over-Reservation (ROR) is introduced as a mean to reduce the percentage of dropped VMs and to improve resource utilization.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750741","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

Parallel Outlier Detection Using KD-Tree Based on MapReduce 基于MapReduce的kd树并行离群点检测

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.20

Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi

引用次数: 11

Can Cloud Computing Be Used for Planning? An Initial Study 云计算可以用于规划吗?初步研究

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.11

Q. Lu, You Xu, Ruoyun Huang, Yixin Chen, Guoliang Chen

{"title":"Can Cloud Computing Be Used for Planning? An Initial Study","authors":"Q. Lu, You Xu, Ruoyun Huang, Yixin Chen, Guoliang Chen","doi":"10.1109/CloudCom.2011.11","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.11","url":null,"abstract":"Cloud computing is emerging as a prominent computing model. It provides a low-cost, highly accessible alternative to other traditional high-performance computing platforms. It also has many other benefits such as high availability, scalability, elasticity, and free of maintenance. Given these attractive features, it is very desirable if automated planning can exploit the large, affordable computational power of cloud computing. However, the latency in inter-process communication in cloud computing makes most existing parallel planning algorithms unsuitable for cloud computing. In this paper, we propose a portfolio stochastic search framework that takes advantage of and is suitable for cloud computing. We first study the running time distribution of Monte-Carlo Random Walk (MRW) search, a stochastic planning algorithm, and show that the running time distribution usually has remarkable variability. Then, we propose a portfolio search algorithm that is suitable for cloud computing, which typically has abundant computing cores but high communication latency between cores. Further, we introduce an enhanced portfolio with multiple parameter settings to improve the efficiency of the algorithm. We implement the portfolio search algorithm in both a local cloud and the Windows Azure cloud. Experimental results show that our algorithm achieves good, in many cases super linear, speedup in the cloud platforms. Moreover, our algorithm greatly reduces the running time variance of the stochastic search and improves the solution quality. We also show that our scheme is economically sensible and robust under processor failures.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128613750","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: 7

Matchmaking: A New MapReduce Scheduling Technique 配对:一种新的MapReduce调度技术

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.16

Chen He, Ying Lu, D. Swanson

引用次数: 139

End-to-End Policy-Based Encryption and Management of Data in the Cloud 端到端基于策略的云端数据加密与管理

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.118

Siani Pearson, M. C. Mont, Liqun Chen, Archie Reed

引用次数: 30