2011 IEEE Third International Conference on Cloud Computing Technology and Science最新文献_第8页

Web Farm-inspired Computational Cluster in the Cloud Web farm启发的云计算集群

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.113

Justin L. Rice, V. Phoha, P. Cappelaere, D. Mandl

{"title":"Web Farm-inspired Computational Cluster in the Cloud","authors":"Justin L. Rice, V. Phoha, P. Cappelaere, D. Mandl","doi":"10.1109/CloudCom.2011.113","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.113","url":null,"abstract":"In this paper, we introduce a web farm-inspired framework for dynamic and concurrent computational processing in the cloud. We compare and contrast this with the Hadoop-cloud framework, discuss the main problems associated with our approach, and give suggestions on ways to overcome said challenges. To implement the web-inspired framework, we use Node.js - a lightweight, single threaded, server-side framework which uses asynchronous callbacks to allow non-dependent operations (parallel-like sections) to execute while waiting for I/O events such as \"fetching a file\" or \"writing a file to disk.\" We perform experiments to reveal two preliminary results that showcase the framework's functionality and scalability. One, for non-blocking operations, worker nodes which use Node.js servers are significantly faster than those which use traditional servers. In particular, a single Node.js is (on average) 2.11 times faster than one Ruby We brick server, and is (on average) 1.88 times faster than two Ruby We brick servers. Two, we find that increasing the number of worker nodes improves overall performance for blocking computational operations. As the number of worker nodes increase, the total execution time decreases exponentially and the number of requests per second increases linearly.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"29 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":"123826903","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

GridARS: A Grid Advanced Resource Management System Framework for Intercloud 网格:面向云间的网格高级资源管理系统框架

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.109

A. Takefusa, H. Nakada, Ryousei Takano, T. Kudoh, Yoshio Tanaka

引用次数: 12

A Cloud Framework for Parameter Sweeping Data Mining Applications 参数扫描数据挖掘应用的云框架

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.56

F. Marozzo, D. Talia, Paolo Trunfio

{"title":"A Cloud Framework for Parameter Sweeping Data Mining Applications","authors":"F. Marozzo, D. Talia, Paolo Trunfio","doi":"10.1109/CloudCom.2011.56","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.56","url":null,"abstract":"Data mining techniques are used in many application areas to extract useful knowledge from large datasets. Very often, parameter sweeping is used in data mining applications to explore the effects produced on the data analysis result by different values of the algorithm parameters. Parameter sweeping applications can be highly computing demanding, since the number of single tasks to be executed increases with the number of swept parameters and the range of their values. Cloud technologies can be effectively exploited to provide end-users with the computing and storage resources, and the execution mechanisms needed to efficiently run this class of applications. In this paper, we present a Data Mining Cloud App framework that supports the execution of parameter sweeping data mining applications on a Cloud. The framework has been implemented using the Windows Azure platform, and evaluated through a set of parameter sweeping clustering and classification applications. The experimental results demonstrate the effectiveness of the proposed framework, as well as the scalability that can be achieved through the parallel execution of parameter sweeping applications on a pool of virtual servers.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"1 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":"128675811","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: 30

Mapping of Cloud Standards to the Taxonomy of Interoperability in IaaS 从云标准到IaaS中互操作性分类的映射

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.78

Ralf Teckelmann, C. Reich, Anthony Sulistio

引用次数: 31

A User-Oriented, Customizable Infrastructure Sharing Approach for Hybrid Cloud Computing Environments 面向用户、可定制的混合云计算环境基础设施共享方法

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.64

Prodromos Makris, D. Skoutas, P. Rizomiliotis, C. Skianis

{"title":"A User-Oriented, Customizable Infrastructure Sharing Approach for Hybrid Cloud Computing Environments","authors":"Prodromos Makris, D. Skoutas, P. Rizomiliotis, C. Skianis","doi":"10.1109/CloudCom.2011.64","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.64","url":null,"abstract":"It is widely accepted that cloud computing technologies will soon have substantial impact on a broad range of industrial and institutional sectors such as governance, health care, education, agriculture, logistics, manufacturing, media etc. Cloud infrastructures are typically based on virtualized environments to allow physical infrastructure to be shared by multiple and diverse end users. However, the efficient sharing of a cloud infrastructure can be performed only through user-centered service admission control procedure, which should also be flexible enough to adapt to the various real market cloud deployment scenarios. Several conflicting parameters such as the type of the hybrid cloud infrastructure being deployed, multiple user priority groups, security, energy efficiency and financial costs should also be taken into account. Thus, aiming to deal with all these emerging resource management trade-off problems, we propose in this paper a user-oriented, highly customizable infrastructure sharing approach, namely IaaS Request Admission Control (IRAC), designed for Hybrid Cloud Computing Environments.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"12 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":"125791642","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

Goal-oriented Self-management of In-memory Distributed Data Grid Platforms 面向目标的内存分布式数据网格平台自我管理

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CLOUDCOM.2011.90

L. Rosa, L. Rodrigues, A. Lopes

引用次数: 6

Implementation of a Fast Vector Packing Algorithm and its Application for Server Consolidation 一种快速矢量打包算法的实现及其在服务器整合中的应用

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.52

S. Doddavula, Mudit Kaushik, Akansha Jain

{"title":"Implementation of a Fast Vector Packing Algorithm and its Application for Server Consolidation","authors":"S. Doddavula, Mudit Kaushik, Akansha Jain","doi":"10.1109/CloudCom.2011.52","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.52","url":null,"abstract":"With increasing adoption of SOA and Cloud Computing technologies where IT including infrastructure, platforms and applications are delivered as services, there is increasing use of a shared resource model where computing and IT resources are shared across multiple applications, so accordingly there is increasing need for solutions that optimize the resource allocation. Power, cooling and real estate are significant costs in operating a cloud computing platform so there is need for solutions that optimize the resources consumed in order to reduce these costs. The challenge in these is in consolidating workloads to minimal number of servers while taking into consideration the resource needs across multiple dimensions like compute, storage, IO, networking bandwidth, etc which keeps changing continuously. This is considered to be a NP hard problem for which there are several solutions based on traditional bin packing algorithms. These solutions have limitations in arriving at the optimal solution in short enough time to be able to react to changing workloads. We describe an algorithm that enables arriving at an optimal workload consolidation solution with desired accuracy by trading off the accuracy with the processing required to arrive at the optimal solution while taking into consideration multiple resource usage dimensions like CPU usage, IO usage, network bandwidth usage etc simultaneously to arrive at the optimization.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"14 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":"114298882","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

Optimizing Multiple Machine Learning Jobs on MapReduce 在MapReduce上优化多个机器学习作业

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.18

Hiroshi Tamano, S. Nakadai, Takuya Araki

引用次数: 15

Autonomic Resource Management Handling Delayed Configuration Effects 自主资源管理处理延迟配置效果

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.28

Oliver Niehörster, A. Brinkmann

引用次数: 7

A Network Virtualization Framework for IP Infrastructure Provisioning IP基础设施配置的网络虚拟化框架

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.105

Bo Peng, A. Hammad, R. Nejabati, S. Azodolmolky, D. Simeonidou, V. Reijs

{"title":"A Network Virtualization Framework for IP Infrastructure Provisioning","authors":"Bo Peng, A. Hammad, R. Nejabati, S. Azodolmolky, D. Simeonidou, V. Reijs","doi":"10.1109/CloudCom.2011.105","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.105","url":null,"abstract":"Cloud computing is a new model of consuming and delivering IT and infrastructure resources. It enables users to obtain what they need, as they need it, from advanced applications to IT infrastructure and platform services, including virtual infrastructure, servers and storage. It can provide significant economies of scale and greater business agility, while accelerating the pace of innovation. Network virtualization, as a key enabling technology in resource provisioning for cloud, has attracted extensive attention from both academia and industry. It takes cloud services to the next level by delivering optimised resources, on-demand utilisation, flexibility and scalability. This paper proposes a novel architectural solution for future cloud service providers based on the concept of Infrastructure as a Service (IaaS) framework and IP network virtualization. A number of associated schemes have also been designed as building blocks for the proposed framework, including resource description and abstraction mechanisms, virtual network request method and a resource broker mechanism named Marketplace. The proposed framework is able to respond quickly to the infrastructure needs for those cloud services with dynamic resizing of the infrastructure by aggregation or partition to meet capacity requirements of services. At the same time, it improves the utilisation of providers' resources with the creation of an infrastructure incorporating the heterogeneous resources in the data centre. In addition, the proposed marketplace, which also allows the trading of IP network resources between infrastructure providers and cloud service providers, is an important and complementary innovation within the cloud landscape.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"3 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":"121248635","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