2013 IEEE Ninth World Congress on Services最新文献_第3页

Cloud Verifier: Verifiable Auditing Service for IaaS Clouds 云验证器:IaaS云的可验证审计服务

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/services.2013.37

Joshua Schiffman, Yuqiong Sun, H. Vijayakumar, T. Jaeger

{"title":"Cloud Verifier: Verifiable Auditing Service for IaaS Clouds","authors":"Joshua Schiffman, Yuqiong Sun, H. Vijayakumar, T. Jaeger","doi":"10.1109/services.2013.37","DOIUrl":"https://doi.org/10.1109/services.2013.37","url":null,"abstract":"Cloud computing has commoditized compute, storage, and networking resources creating an on-demand utility. Despite the attractiveness of this new paradigm, its adoption has been stymied by cloud platform's lack of transparency, which leaves customers unsure if their sensitive data and computation can be entrusted to the cloud. While techniques like encryption can protect customers' data at rest, clouds still lack mechanisms for customers to verify that their computations are being executed as expected, a guarantee one could obtain if they were running the computation in their own data center. In this paper, we present the cloud verifier (CV), a flexible framework that cloud vendors can configure to provide cloud monitoring services for customers to validate that their computations are configured and being run as expected in Infrastructure as a Service (IaaS) clouds. The CV builds a chain of trust from the customer to their hosted virtual machine (VM) instances through the cloud platform, enabling it to check customer-specified requirements against a comprehensive view of both the VM's load-time and run-time properties. In addition, the CV enables cloud vendors to provide more responsive remediation techniques than traditional attestation mechanisms. We built a proof of concept CV for the OpenStack cloud platform whose evaluation demonstrates that a single CV enables over 20,000 simultaneous customers to verify numerous properties with little impact on cloud application performance. As a result, the CV gives cloud customers a low-overhead method for assuring that their instances are running according to their requirements.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128066828","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: 39

Towards Personalized Web-Tasking: Task Simplification Challenges 面向个性化网络任务:任务简化的挑战

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.61

Lorena Castaneda, H. Müller, Norha M. Villegas

引用次数: 7

Adaptive Web Services Composition Using Q-Learning in Cloud 在云中使用Q-Learning的自适应Web服务组合

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.33

Yu Lei, Zhili Wang, Lingli Meng, Jiang Wang, Luoming Meng, Xue-song Qiu

引用次数: 13

Going Beyond Web Browsing to Web Tasking: Transforming Web Users from Web Operators to Web Supervisors 从网络浏览到网络任务:将网络用户从网络运营者转变为网络管理者

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.22

J. Ng, Diana H. Lau

引用次数: 8

Towards DaaS 2.0: Enriching Data Models 迈向DaaS 2.0:丰富数据模型

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.59

Jonathan Martí, Daniel Gasull, A. Queralt, Toni Cortes

引用次数: 5

PALTask Chat: A Personalized Automated Context Aware Web Resources Listing Tool PALTask聊天:一个个性化的自动上下文感知网络资源列表工具

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.62

Pratik Jain, A. Bergen, Lorena Castaneda, H. Müller

引用次数: 9

A Game Theory of Cloud Service Deployment 云服务部署的博弈理论

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.35

Zexiang Mao, Jingqi Yang, Yanlei Shang, Chuanchang Liu, Junliang Chen

引用次数: 17

Cloud Security Auditing Based on Behavioral Modeling 基于行为建模的云安全审计

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1504/IJBPIM.2014.063518

A. Dolgikh, Zachary Birnbaum, Bingwei Liu, Yu Chen, V. Skormin

引用次数: 13

An Intelligent Framework for Auto-filling Web Forms from Different Web Applications 用于自动填写不同Web应用程序的Web表单的智能框架

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1504/IJBPIM.2017.082747

Shaohua Wang, Ying Zou, I. Keivanloo, Bipin Upadhyaya, J. Ng

{"title":"An Intelligent Framework for Auto-filling Web Forms from Different Web Applications","authors":"Shaohua Wang, Ying Zou, I. Keivanloo, Bipin Upadhyaya, J. Ng","doi":"10.1504/IJBPIM.2017.082747","DOIUrl":"https://doi.org/10.1504/IJBPIM.2017.082747","url":null,"abstract":"Nowadays, people use on-line services to conduct various tasks such as on-line shopping and holiday trip planning using web applications. Generally users are required to enter information into web forms to interact with the web applications. However they often have to type in the same information to different web applications repetitively. It could be a tedious job for a user to fill in a large amount of web forms with the same information. To save users from typing redundant information, it is critical to propagate and pre-fill the user's previous inputs across different web applications. However, existing software and approaches cannot meet this urgent need. In this position paper, we propose an intelligent framework to propagate user's inputs across different web applications. Our framework collects user's inputs and analyzes the patterns of user's usage. Furthermore it detects the changes of user's contexts by extracting user's contextual information from various sources such as a user's calender. Our framework clusters the user interface (UI) components to form semantic groups of similar UI components based on our proposed clustering approach. Knowing the similarity relation between UI components, the framework can pre-fill the web forms with user's previous inputs. We conduct a preliminary study on effectiveness of our proposed clustering approach. We achieved a precision of 80% and a recall of 87%.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134106530","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

Auditing CPU Performance in Public Cloud 公有云CPU性能审计

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-28 DOI: 10.1109/SERVICES.2013.39

Qiang Huang, Lin Ye, Xinran Liu, Xiaojiang Du

引用次数: 11