2010 IEEE Second International Conference on Cloud Computing Technology and Science最新文献

Inadequacies of Current Risk Controls for the Cloud 当前云风险控制的不足之处

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.49

M. Auty, S. Creese, M. Goldsmith, P. Hopkins

引用次数: 17

Voronoi-Based Geospatial Query Processing with MapReduce 基于voronoi的MapReduce地理空间查询处理

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.92

Afsin Akdogan, Ugur Demiryurek, F. Kashani, C. Shahabi

引用次数: 142

Recommendations for Virtualization Technologies in High Performance Computing 高性能计算中的虚拟化技术推荐

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.71

Nathan Regola, Jean-Christophe Ducom

{"title":"Recommendations for Virtualization Technologies in High Performance Computing","authors":"Nathan Regola, Jean-Christophe Ducom","doi":"10.1109/CloudCom.2010.71","DOIUrl":"https://doi.org/10.1109/CloudCom.2010.71","url":null,"abstract":"The benefits of virtualization are typically considered to be server consolidation, (leading to the reduction of power and cooling costs) increased availability, isolation, ease of operating system deployment and simplified disaster recovery. High Performance Computing (HPC) environments pose one main challenge for virtualization: the need to maximize throughput with minimal loss of CPU and I/O efficiency. However, virtualization is usually evaluated in terms of enterprise workloads and assumes that servers are underutilized and can be consolidated. In this paper we evaluate the performance of several virtual machine technologies in the context of HPC. A fundamental requirement of current high performance workloads is that both CPU and I/O must be highly efficient for tasks such as MPI jobs. This work benchmarks two virtual machine monitors, Open VZ and KVM, specifically focusing on I/O throughput since CPU efficiency has been extensively studied [1]. Open VZ offers near native I/O performance. Amazon’s EC2 “ClusterCompute Node” product is also considered for comparative purposes and performs quite well. The EC2 “Cluster ComputeNode” product utilizes the Xen hyper visor in hvm mode and 10Gbit/s Ethernet for high throughput communication. Therefore, we also briefly studied Xen on our hardware platform (in hvmmode) to determine if there are still areas of improvement in KVM that allow EC2 to outperform KVM (with InfiniBand host channel adapters operating at 20 Gbit/s) in MPI benchmarks. We conclude that KVM’s I/O performance is sub optimal, potentially due to memory management problems in the hyper visor. Amazon’sEC2 service is promising, although further investigation is necessary to understand the effects of network based storage on I/O throughput in compute nodes. Amazon’s offering may be attractive for users searching for “InfiniBand-like” performance without the upfront investment required to build an InfiniBand cluster or users wishing to dynamically expand their cluster during periods of high demand.","PeriodicalId":130987,"journal":{"name":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115197503","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: 135

CloudBATCH: A Batch Job Queuing System on Clouds with Hadoop and HBase CloudBATCH:基于Hadoop和HBase的云上批处理作业排队系统

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.22

Chen Zhang, H. Sterck

引用次数: 21

Pepper: An Elastic Web Server Farm for Cloud Based on Hadoop Pepper:基于Hadoop的云弹性Web服务器群

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.39

S. Krishnan, Jean Christophe Counio

{"title":"Pepper: An Elastic Web Server Farm for Cloud Based on Hadoop","authors":"S. Krishnan, Jean Christophe Counio","doi":"10.1109/CloudCom.2010.39","DOIUrl":"https://doi.org/10.1109/CloudCom.2010.39","url":null,"abstract":"Web application based processing is traditionally used to handle high throughput traffic. Web applications are hosted on server farms. However, providing application level scalability and isolation on such server farms has been a challenge. Using cloud-serving infrastructures instead could potentially provide advantages such as scalability, centralized deployment and capacity planning. They also possess attractive qualities such as self-healing as well as ease in isolation and monitoring. The problem with this approach lies in the complicated nature and operational overhead of bootstrapping and operating cloud virtualization infrastructure. We present Pepper, a novel, simple, low cost and elastic web serving cloud platform built leveraging Hadoop and Zookeeper. The design of Pepper demonstrates its ability to run in isolation different web applications and scale dynamically on a cluster of machines. Pepper is being successfully used in Yahoo! to run web applications that acquire and pre-process high frequency web feeds such as breaking news and finance quotes. Pepper processes feeds with low latency with the ability to scale to millions of feeds every day that enables us to retain content freshness.","PeriodicalId":130987,"journal":{"name":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129345105","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

A MapReduce-Based Architecture for Rule Matching in Production System 基于mapreduce的生产系统规则匹配体系结构

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.11

Bin Cao, Jianwei Yin, Qi Zhang, Yanming Ye

引用次数: 18

Fine-Grained Data Access Control Systems with User Accountability in Cloud Computing 云计算中具有用户责任的细粒度数据访问控制系统

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.44

Jin Li, Gansen Zhao, Xiaofeng Chen, Dongqing Xie, Chunming Rong, Wen J. Li, Lianzhang Tang, Yong Tang

{"title":"Fine-Grained Data Access Control Systems with User Accountability in Cloud Computing","authors":"Jin Li, Gansen Zhao, Xiaofeng Chen, Dongqing Xie, Chunming Rong, Wen J. Li, Lianzhang Tang, Yong Tang","doi":"10.1109/CloudCom.2010.44","DOIUrl":"https://doi.org/10.1109/CloudCom.2010.44","url":null,"abstract":"Cloud computing is an emerging computing paradigm in which IT resources and capacities are provided as services over the Internet. Promising as it is, this paradigm also brings forth new challenges for data security and access control when users outsource sensitive data for sharing on cloud servers, which are likely outside of the same trust domain of data owners. To maintain the confidentiality of, sensitive user data against untrusted servers, existing work usually apply cryptographic methods by disclosing data decryption keys only to authorized users. However, in doing so, these solutions inevitably introduce heavy computation overhead on the data owner for key distribution and data management when fine-grained data access control is desired, and thus do not scale well. In this paper, we present a way to implement, scalable and fine-grained access control systems based on attribute-based encryption (ABE). For the purpose of secure access control in cloud computing, the prevention of illegal key sharing among colluding users is missing from the existing access control systems based on ABE. This paper addresses this challenging open issue by defining and enforcing access policies based on data attributes and implementing user accountability by using traitor tracing. Furthermore, both the user grant and revocation are efficiently supported by using the broadcast encryption technique. Extensive analysis shows that the proposed scheme is highly efficient and provably secure under existing security models.","PeriodicalId":130987,"journal":{"name":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126346233","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: 95

Self-Organizing Agents for Service Composition in Cloud Computing 云计算中服务组合的自组织代理

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CLOUDCOM.2010.10

Octavio Gutiérrez, K. Sim

{"title":"Self-Organizing Agents for Service Composition in Cloud Computing","authors":"Octavio Gutiérrez, K. Sim","doi":"10.1109/CLOUDCOM.2010.10","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2010.10","url":null,"abstract":"In Cloud service composition, collaboration between brokers and service providers is essential to promptly satisfy incoming Cloud consumer requirements. These requirements should be mapped to Cloud resources, which are accessed via web services, in an automated manner. However, distributed and constantly changing Cloud-computing environments pose new challenges to automated service composition such as: (i) dynamically contracting service providers, which set service fees on a supply-and-demand basis, and (ii) dealing with incomplete information regarding Cloud resources (e.g., location and providers). To address these issues, in this work, an agent-based Cloud service composition approach is presented. Cloud participants and resources are implemented and instantiated by agents. These agents sustain a three-layered self-organizing multi-agent system that establishes a Cloud service composition framework and an experimental test bed. The self-organizing agents make use of acquaintance networks and the contract net protocol to evolve and adapt Cloud service compositions. The experimental results indicate that service composition is efficiently achieved despite dealing with incomplete information as well as coping with dynamic service fees.","PeriodicalId":130987,"journal":{"name":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132215027","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: 105

The Ethics of Cloud Computing: A Conceptual Review 云计算伦理:一个概念回顾

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.59

J. Timmermans, B. Stahl, V. Ikonen, Engin Bozdag

引用次数: 62

MapReduce in the Clouds for Science MapReduce在云中用于科学

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI: 10.1109/CloudCom.2010.107

Thilina Gunarathne, T. Wu, J. Qiu, G. Fox

{"title":"MapReduce in the Clouds for Science","authors":"Thilina Gunarathne, T. Wu, J. Qiu, G. Fox","doi":"10.1109/CloudCom.2010.107","DOIUrl":"https://doi.org/10.1109/CloudCom.2010.107","url":null,"abstract":"The utility computing model introduced by cloud computing combined with the rich set of cloud infrastructure services offers a very viable alternative to traditional servers and computing clusters. MapReduce distributed data processing architecture has become the weapon of choice for data-intensive analyses in the clouds and in commodity clusters due to its excellent fault tolerance features, scalability and the ease of use. Currently, there are several options for using MapReduce in cloud environments, such as using MapReduce as a service, setting up one’s own MapReduce cluster on cloud instances, or using specialized cloud MapReduce runtimes that take advantage of cloud infrastructure services. In this paper, we introduce Azure MapReduce, a novel MapReduce runtime built using the Microsoft Azure cloud infrastructure services. Azure MapReduce architecture successfully leverages the high latency, eventually consistent, yet highly scalable Azure infrastructure services to provide an efficient, on demand alternative to traditional MapReduce clusters. Further we evaluate the use and performance of MapReduce frameworks, including Azure MapReduce, in cloud environments for scientific applications using sequence assembly and sequence alignment as use cases.","PeriodicalId":130987,"journal":{"name":"2010 IEEE Second International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130961947","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: 184