2012 International Conference on Cloud and Service Computing最新文献

A Power-aware Job Scheduling Algorithm 一种功率感知的作业调度算法

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.9

Haitao Chen, Yutong Lu, Qinghua Zhu

引用次数: 1

Privacy Enhancing Framework on PaaS 平台即服务的私隐加强架构

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.27

Gansen Zhao, Ziliu Li, Wen J. Li, H. Zhang, Yong Tang

引用次数: 8

Reconciling Cost and Performance Objectives for Elastic Web Caches 协调弹性Web缓存的成本和性能目标

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.21

Farhana Kabir, David Chiu

引用次数: 7

Applications of Different Web Service Composition Standards 不同Web服务组合标准的应用

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.17

M. Beraka, H. Mathkour, Sofien Gannouni, H. Hashimi

引用次数: 8

A context-aware collaborative filtering approach for service recommendation 用于服务推荐的上下文感知协同过滤方法

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.30

Rong Hu, Wanchun Dou, Jianxun Liu

引用次数: 8

One Solution to Improve the Confidentiality of Customer's Private Business Data in SaaS Model SaaS模式下提高客户私有业务数据保密性的一种解决方案

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.28

L. Yi, Kai X. Miao

{"title":"One Solution to Improve the Confidentiality of Customer's Private Business Data in SaaS Model","authors":"L. Yi, Kai X. Miao","doi":"10.1109/CSC.2012.28","DOIUrl":"https://doi.org/10.1109/CSC.2012.28","url":null,"abstract":"One common feature in SaaS (Software as a Service) business model is that the customer's private business data is hosted by the service provider. This causes a problem to SMB (Small and Medium Business) consumers: it is hard to guarantee the confidentiality of theirs private business data. This paper presents a solution to this problem: the customer's private business data are stored and protected in SMB side, and the business data is guaranteed visible only to the customer itself. Smart MSBG (Multi-Service Business Gateway) is introduced in this paper. Smart MSBG and Service Management Center are two main components to implement the service management. Every SMB customer hosts one Smart MSBG. The Smart MSBG is used to store the SMB customer private business data at customer side. The Management Center is used to manage all Smart MSBGs at service provider side. Service management operations including service subscription, service delivery, and service upgrade, service availability management can be performed through the coordination between Management Center and Smart MSBG. In this paper, we first studied the problem in current SaaS business model, and then we presented the architecture of our solution and test bed. We also described the structure of Management Center and Smart MSBG, as well as how they work together in typical service management scenarios.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132401198","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: 1

Two-Step-Ranking Secure Multi-Keyword Search over Encrypted Cloud Data 加密云数据安全多关键字搜索两步排名

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.26

Jun Xu, Weiming Zhang, Ce Yang, Jiajia Xu, Nenghai Yu

引用次数: 21

An Ontology-based Service Model for Smart Infrastructure Design 基于本体的智能基础设施设计服务模型

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.11

Tianshu Chu, Jie Wang, J. Leckie

{"title":"An Ontology-based Service Model for Smart Infrastructure Design","authors":"Tianshu Chu, Jie Wang, J. Leckie","doi":"10.1109/CSC.2012.11","DOIUrl":"https://doi.org/10.1109/CSC.2012.11","url":null,"abstract":"As a fundamental building block of smart cities, smart infrastructure has been increasingly drawing attention in both academia and industry across the globe. Many research efforts have been directed toward models for smart city infrastructure and city service. The existing models focus on either general description for features and criteria of smart infrastructure, or domain-specific investigation in an ad-hoc way, which, for example, applies optimization to smart transportation and smart buildings. However, a general model optimally augmenting smart features into traditional infrastructure is not reported in the literature so far. We propose such a service model for smart infrastructure designers to fill this gap in two steps. A static ontology of the service model is firstly setup to identify a general framework of the underlying infrastructure expressed by a multi-agent system (MAS) and a dynamic ontology is then designed to manage informed decision-making between global and local scales inside the system. With this approach we can accomplish the design of specific smart infrastructures based on expected goals, availability of information, and the feasibility of implementation. In order to demonstrate the effectiveness of the proposed approach we design and present two smart transportation systems as examples of this procedure. We also propose some future improvements of the service model.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116599958","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: 3

Improving the Efficiency of Deploying Virtual Machines in a Cloud Environment 提高云环境下虚拟机的部署效率

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.43

Risto Laurikainen, Jarno Laitinen, P. Lehtovuori, J. Nurminen

{"title":"Improving the Efficiency of Deploying Virtual Machines in a Cloud Environment","authors":"Risto Laurikainen, Jarno Laitinen, P. Lehtovuori, J. Nurminen","doi":"10.1109/CSC.2012.43","DOIUrl":"https://doi.org/10.1109/CSC.2012.43","url":null,"abstract":"Flexible allocation of resources is one of the main benefits of cloud computing. Virtualization is used to achieve this flexibility: one or more virtual machines run on a single physical machine. These virtual machines can be deployed and destroyed as needed. One obstacle to flexibility in current cloud systems is that deploying multiple virtual machines simultaneously on multiple physical machines is slow due to the inefficient usage of available resources. We implemented and evaluated three methods of transferring virtual machine images for the Open Nebula cloud middleware. One of the implementations was based on BitTorrent and the other two were based on multicast. Our evaluation results showed that the implemented methods were significantly more scalable than the default methods available in Open Nebula when tens of virtual machines were deployed simultaneously. However, the implemented methods were slower than the default unicast methods for deploying only one or a few virtual machines at a time due to overhead related to managing the transfer process. If the usage pattern of the cloud is such that deploying large batches of virtual machines at once is common, using the new transfer methods will significantly speed up the deployment process and reduce its resource usage.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117132300","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: 12

A Service Level Agreement for the Resource Transaction Risk Based on Cloud Bank Model 基于云银行模型的资源交易风险服务水平协议

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.38

Mojun Su, Hao Li, Shenglin Yang, Joan Lu

引用次数: 5