2011 IEEE World Congress on Services最新文献

A Framework for Cloud Embedded Web Services Utilized by Cloud Applications 云应用程序使用的云嵌入式Web服务框架

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.56

M. Wahib, Asim Munawar, M. Munetomo, K. Akama

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引用次数: 7

SOA Service Design and Governance: Experience at Credit Suisse SOA服务设计和治理:在Credit Suisse工作的经验

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.73

B. Liver, K. Tice

引用次数: 2

Interoperability and Integration Considerations for a Process-Oriented Clinical Decision Support System 面向过程的临床决策支持系统的互操作性和集成考虑

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.14

Hemant Shah, Ganesh Krishnan, P. Williams, A. Vogler, R. D. Allard, P. Nadkarni

引用次数: 4

Performance and QoS in Service-Based Systems 基于服务的系统中的性能和QoS

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.106

R. Maule, W. Lewis

引用次数: 9

SSC4Cloud Tooling: An Integrated Environment for the Development of Business Processes with Security Requirements in the Cloud SSC4Cloud工具:用于在云中开发具有安全需求的业务流程的集成环境

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.72

F. Lins, Robson W. A. Medeiros, Bruno Silva, Andre R. R. Souza, David Aragão, J. Damasceno, P. Maciel, N. Rosa, Bryan Stephenson, Jun Yu Li

{"title":"SSC4Cloud Tooling: An Integrated Environment for the Development of Business Processes with Security Requirements in the Cloud","authors":"F. Lins, Robson W. A. Medeiros, Bruno Silva, Andre R. R. Souza, David Aragão, J. Damasceno, P. Maciel, N. Rosa, Bryan Stephenson, Jun Yu Li","doi":"10.1109/SERVICES.2011.72","DOIUrl":"https://doi.org/10.1109/SERVICES.2011.72","url":null,"abstract":"Cloud Computing, Business Process Modeling (BPM) and Service-oriented architectures (SOA) are playing a relevant role in the evolution of Information Technology (IT). A considerable number of system developers are using Cloud technologies to deploy and make available systems over the Internet. Business Process Management standards are being widely used to model business requirements. In addition, SOA-based systems are considered an interesting approach to execute high-level business process specifications. Based on the fact that business processes are executed, usually, using services available in network environments, security requirements should be considered, especially when dealing with sensitive data (e.g., credit card information or personal data). Despite the increasing need for specifying security mechanisms in web service compositions in the Cloud, this topic remains a challenge for many reasons, including the known difficulty of expressing security requirements at a business level and the enforcement of such requirements at an execution level in a cloud environment. This work presents an environment to collaboratively model business processes considering security requirements and to automatically deploy them in the Cloud with security requirements enforcement. The business process is realized through the utilization of web service composition. This environment consists of a set of tools to support the business process modeling and secure service composition execution in the Cloud. Security-related information can be shared among different users in the Cloud and used to enable the activation and configuration of security mechanisms. The proposed approach is showcased in a Virtual Travel Agency scenario to show its feasibility.","PeriodicalId":429726,"journal":{"name":"2011 IEEE World Congress on Services","volume":"18 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033692","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

Autonomic Business-Driven Decision Making for Adaptation of Web Service Compositions 用于适应Web服务组合的自主业务驱动决策制定

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.17

Q. Lu

引用次数: 2

Local and Global Optimization of MapReduce Program Model MapReduce程序模型的局部和全局优化

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.64

Congchong Liu, Shujia Zhou

引用次数: 4

Leveraging the Cloud for Big Data Biometrics: Meeting the Performance Requirements of the Next Generation Biometric Systems 利用云实现大数据生物识别:满足下一代生物识别系统的性能要求

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.95

Edmund Kohlwey, Abel Sussman, J. Trost, Amber Maurer

引用次数: 57

Facilitating Service Creation via Partial Specification and Automated Composition 通过部分规范和自动组合促进服务创建

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.53

R. Dantas, Ernani Azevedo, C. Dias, Thiago Lima, D. Sadok, C. Kamienski, B. Ohlman

引用次数: 4

Approaches for Implementing Persistent Queues within Data-Intensive Scientific Workflows 在数据密集型科学工作流中实现持久队列的方法

2011 IEEE World Congress on Services Pub Date : 2011-07-04 DOI: 10.1109/SERVICES.2011.57

Michael Agun, S. Bowers

{"title":"Approaches for Implementing Persistent Queues within Data-Intensive Scientific Workflows","authors":"Michael Agun, S. Bowers","doi":"10.1109/SERVICES.2011.57","DOIUrl":"https://doi.org/10.1109/SERVICES.2011.57","url":null,"abstract":"Many scientific workflow systems are built on dataflow-based models of computation in which data drives the execution of workflow components. An advantage of using dataflow models is their straightforward semantics (which includes support for branching, merging, and looping) and their ability to concurrently execute workflow steps. However, for many data-intensive workflows the dataflow model often requires data buffering. Current systems largely perform buffering through in-memory queues which can lead to buffer overflow and performance degradation as queues reach capacity (e.g., because of paging). We describe an alternative framework that leverages external storage to implement buffers (which we refer to as persistent queues) within data-intensive scientific workflows. Our framework can easily be used with different underlying storage technologies, and we consider and evaluate three distinct approaches: a traditional relational database implementation, a non-relational implementation designed for fast reads and writes, and a specialized approach that can further reduce external buffering overhead. In addition, the use of persistent queues can provide detailed provenance information ``for free'' by capturing the input and output information of each workflow component during workflow execution. Although many systems provide such provenance information, we show how this information can be captured both efficiently and can be used to improve overall workflow performance through persistent queues.","PeriodicalId":429726,"journal":{"name":"2011 IEEE World Congress on Services","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124384540","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