2011 IEEE Third International Conference on Cloud Computing Technology and Science最新文献_第4页

Drug Repositioning on the Cloud 云上的药物重新定位

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.88

V. Virvilis, Anuj Sharma, Miltiadis Koutsokeras

引用次数: 1

Energy-Efficient Resource Management for Cloud Computing Infrastructures 云计算基础设施的节能资源管理

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CLOUDCOM.2011.63

Marco Guazzone, C. Anglano, M. Canonico

{"title":"Energy-Efficient Resource Management for Cloud Computing Infrastructures","authors":"Marco Guazzone, C. Anglano, M. Canonico","doi":"10.1109/CLOUDCOM.2011.63","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.63","url":null,"abstract":"Cloud computing is growing in popularity among computing paradigms for its appealing property of considering \"Everything as a Service\". The goal of a Cloud infrastructure provider is to maximize its profit by minimizing the amount of violations of Quality-of-Service (QoS) levels agreed with service providers, and, at the same time, by lowering infrastructure costs. Among these costs, the energy consumption induced by the Cloud infrastructure, for running Cloud services, plays a primary role. Unfortunately, the minimization of QoS violations and, at the same time, the reduction of energy consumption is a conflicting and challenging problem. In this paper, we propose a framework to automatically manage computing resources of Cloud infrastructures in order to simultaneously achieve suitable QoS levels and to reduce as much as possible the amount of energy used for providing services. We show, through simulation, that our approach is able to dynamically adapt to time-varying workloads (without any prior knowledge) and to significantly reduce QoS violations and energy consumption with respect to traditional static approaches.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"226 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":"116850374","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: 53

Taxonomy and Requirements Rationalization for Infrastructure in Cloud-based Software Testing 基于云的软件测试中基础架构的分类和需求合理化

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.67

P. Robinson, C. Ragusa

引用次数: 12

Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds 弹性计算云中科学工作流的有序优化调度

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.12

Fan Zhang, Junwei Cao, K. Hwang, Cheng Wu

{"title":"Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds","authors":"Fan Zhang, Junwei Cao, K. Hwang, Cheng Wu","doi":"10.1109/CloudCom.2011.12","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.12","url":null,"abstract":"Elastic compute clouds are best represented by the virtual clusters in Amazon EC2 or in IBM RC2. This paper proposes a simulation based approach to scheduling scientific workflows onto elastic clouds. Scheduling multitask workflows in virtual clusters is a NP-hard problem. Excessive simulations in months of time may be needed to produce the optimal schedule using Monte Carlo simulations. To reduce this scheduling overhead is necessary in real-time cloud computing. We present a new workflow scheduling method based on iterative ordinal optimization (IOO). This new method outperforms the Monte Carlo and Blind-Pick methods to yield higher performance against rapid workflow variations. For example, to execute 20,000 tasks on 128 virtual machines for gravitational wave analysis, an ordinal optimized schedule can be generated in a few minutes, which is O(103)~O(104) faster than using Monte Carlo simulations. The ordinal optimized schedule results in higher throughput with lower memory demand. The cloud experimental results being reported verified our theoretical findings on the relative performance of three workflow scheduling methods studied in this paper.","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":"133032979","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: 58

A Cryptographic Protocol for Communication in a Redundant Array of Independent Net-storages 一种独立网络存储冗余阵列通信的加密协议

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.32

M. Jaatun, Gansen Zhao, S. Alapnes

引用次数: 4

Automatic Creation of an Ontological Knowledge Base from Grid and Cloud-based Wikipages 从网格和基于云的维基页面自动创建本体知识库

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.123

Chaitali Gupta, M. Govindaraju

{"title":"Automatic Creation of an Ontological Knowledge Base from Grid and Cloud-based Wikipages","authors":"Chaitali Gupta, M. Govindaraju","doi":"10.1109/CloudCom.2011.123","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.123","url":null,"abstract":"As the size of experimental data, documents, and web pages grows larger, it will be difficult for scientists to search for appropriate data and grid web-services through keyword-based grid search portal interfaces. A well designed and dynamically updated knowledge base can help understand user queries when they are structurally different, but semantically correlated, with actual data stored in a grid or cloud. In this paper we discuss the implementation of a knowledge base creation tool for grid and cloud based wikipages. In order to achieve accurate results in the query match-making process, we store the knowledge base in the rich OWL format and update it automatically with subsequent inference of new facts. Our framework extracts grid and cloud related wikipages and web pages using syntactic Link Grammar Parser and creates core ontology models specific to the grid and cloud domain. In this paper we describe two core components of the ontology generation framework - an information extraction framework and a core ontology model. We present the accuracy of search in terms of precision and recall and its relationship with the dynamically updated ontological domain knowledge base.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"5 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":"127699358","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: 0

A Conceptual Framework of Deploying Cloud IaaS in Higher Educational Institutions 高等院校部署云IaaS的概念框架

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.72

Mary-Jane Sule

引用次数: 7

QoS-aware SLA-based Advanced Reservation of Infrastructure as a Service 基于qos的基于sla的基础设施即服务高级预订

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.46

K. Lu, T. Röblitz, R. Yahyapour, Edwin Yaqub, Constantinos Kotsokalis

{"title":"QoS-aware SLA-based Advanced Reservation of Infrastructure as a Service","authors":"K. Lu, T. Röblitz, R. Yahyapour, Edwin Yaqub, Constantinos Kotsokalis","doi":"10.1109/CloudCom.2011.46","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.46","url":null,"abstract":"Cloud computing effectively implements the vision of utility computing by employing a pay-as-you-go cost model and allowing on-demand (re-)leasing of IT resources. Small or medium-sized Infrastructure-as-a-Service providers, however, find it challenging to satisfy all requests immediately due to their limited resource capacity. In that situation, both providers and customers may benefit greatly from advanced reservation of virtual resources, i.e. virtual machines. In our work, we assume SLA-based resource requests and introduce an advanced reservation methodology during SLA negotiation by using computational geometry. Thereby, we are able to verify, record and manage the infrastructure resources efficiently. Based on that model, service providers can easily verify the available capacity for satisfying the customer's Quality-of-Service requirements. Furthermore, we introduce flexible alternative counter-offers, when the service provider lacks resources. Therefore, our mechanism increases the utilization of the resources and attempts to satisfy as many customers as possible.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"23 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":"129041785","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

A Bi-Criteria Truthful Mechanism for Scheduling of Workflows in Clouds 云环境下工作流调度的双标准真实机制

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.92

H. M. Fard, R. Prodan, G. Moser, T. Fahringer

引用次数: 11

QoS-control of Structured Parallel Computations: A Predictive Control Approach 结构化并行计算的qos控制:一种预测控制方法

2011 IEEE Third International Conference on Cloud Computing Technology and Science Pub Date : 2011-11-29 DOI: 10.1109/CloudCom.2011.47

G. Mencagli, M. Vanneschi

引用次数: 12