Grid economy comes of age: emerging gridbus tools for service-oriented cluster and grid computing

2005 ◽  
Author(s):  
R. Buyya
Keyword(s):  
Grid Computing ◽  
Service Oriented ◽  
Grid Economy

Service-Oriented Grid Computing for SAFORAH

2010 ◽  
pp. 283-291
Author(s):  
Ashok Agarwal ◽  
Patrick Armstrong ◽  
Andre Charbonneau ◽  
Hao Chen ◽  
Ronald J. Desmarais ◽  
...  
Keyword(s):  
Grid Computing ◽  
Service Oriented

Web 2.0

2010 ◽  
pp. 119-134
Author(s):  
Wail M. Omar
Keyword(s):  
Grid Computing ◽  
Web 2.0 ◽  
Health Information ◽  
Service Oriented Architecture ◽  
Bottom Layer ◽  
End Users ◽  
Web 2.0 Technology ◽  
Enterprise Applications ◽  
Service Oriented

Web 2.0 is expected to be the next technology in the interaction between the enterprise applications and end users. Such interaction will be utilized in producing self-governance applications that are able to readjacent and reconfigure the operation framework based on users’ feedback. To achieve this, huge numbers of underneath resources (infrastructures and services) are required. Therefore, this work proposes the merge of Web 2.0 technology and grid computing overlay to support Web 2.0 framework. Such merge between technologies is expected to offer mutual benefits for both communities. Through this work, a model for managing the interaction between the two technologies is developed based on the adapting of service oriented architecture (SOA) model, this model is known as SOAW2G. This model manages the interaction between the users at the top level and resources at the bottom layer. As a case study, managing health information based on users’ (doctors, medicine companies, and others) experiences is explored through this chapter.

Service Level Agreements for Real-Time Service-Oriented Infrastructures

2011 ◽  
pp. 133-159
Author(s):  
Roland Kübert ◽  
Georgina Gallizo ◽  
Theodoros Polychniatis ◽  
Theodora Varvarigou ◽  
Eduardo Oliveros ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Real Time ◽  
Service Level ◽  
Service Level Agreements ◽  
Real Time Systems ◽  
Service Oriented Architectures ◽  
Time Service ◽  
Service Oriented ◽  
Time Systems

Service Level Agreements (SLAs) are nowadays used as a cornerstone for building service-oriented architectures. SLAs have been closely investigated in the scope of distributed and Grid computing and are now gaining uptake in cloud computing as well. However, most solutions have been developed for specific purposes and are not applicable generally, even though the most approaches propose a general usability. Only rarely have SLAs been applied to real-time systems. The purpose of this chapter is to analyze different fields where SLAs are used, examine the proposed solutions, and investigate how these can be improved in order to better support the creation of real-time service-oriented architectures.

Service Level Agreements for Real-Time Service-Oriented Infrastructures

2012 ◽  
pp. 1836-1862 ◽  
Author(s):  
Roland Kübert ◽  
Georgina Gallizo ◽  
Thodoris Polychniatis ◽  
Theodora Varvarigou ◽  
Eduardo Oliveros ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Real Time ◽  
Service Level ◽  
Service Level Agreements ◽  
Real Time Systems ◽  
Service Oriented Architectures ◽  
Time Service ◽  
Service Oriented ◽  
Time Systems

Service Level Agreements (SLAs) are nowadays used as a cornerstone for building service-oriented architectures. SLAs have been closely investigated in the scope of distributed and Grid computing and are now gaining uptake in cloud computing as well. However, most solutions have been developed for specific purposes and are not applicable generally, even though the most approaches propose a general usability. Only rarely have SLAs been applied to real-time systems. The purpose of this chapter is to analyze different fields where SLAs are used, examine the proposed solutions, and investigate how these can be improved in order to better support the creation of real-time service-oriented architectures.

Healthcare Collaborative Framework Based on Web 2.0, Grid Computing and SOA

2012 ◽  
pp. 429-452
Author(s):  
Wail M. Omar
Keyword(s):  
Grid Computing ◽  
Web 2.0 ◽  
Service Oriented Architecture ◽  
Data Availability ◽  
Healthcare Applications ◽  
Storage Devices ◽  
Robust Model ◽  
Enterprise Applications ◽  
Open Standard ◽  
Service Oriented

Web 2.0 has been adopted by many as the best way for forming a collaborative framework e.g., sharing resources, experiences, information, knowledge and feedback. A collaborative framework for application to e-health is necessary to provide patients with the awareness that assists in improving their health. Moreover, collaborative framework can be used by physician to exchange experiences and discuss challenge cases. However, the use of Web 2.0 with healthcare applications is not simple as the use of Web 20 with other enterprise applications according to the privacy of healthcare applications, which requires high quality and security of data, availability of resources, maintainability of services, system security, and Quality of Services (QoS). To offer the required requirements, grid computing is proposed here. Grid computing supporting enterprise applications through offering massive resources through resources collaborative framework that is offering power computing, storage devices, and services. The use of grid computing by Web 2.0 requires robust model that is able to deploy, discover, invoke, and integrate resources in open standard format. Therefore, Service Oriented Architecture (SOA) is adopted as a model for managing the mixing between Web 2.0 and grid computing technologies. SOA for Web 2.0 and Grid Computing (SOAW2G) are used throughout this work to offer a fabric for e-health applications.

Grid, P2P and SOA Orchestration

2012 ◽  
pp. 52-76
Author(s):  
Tran Vu Pham ◽  
Lydia M.S. Lau ◽  
Peter M Dew
Keyword(s):  
Grid Computing ◽  
Large Scale ◽  
Service Oriented Architecture ◽  
Web Based ◽  
Collaborative Environment ◽  
Integrated Environment ◽  
Service Oriented ◽  
Computational Resources ◽  
And Control ◽  
Scientific Collaborations

Supporting global scientific collaborations are becoming more important due to the increasing complexity of modern scientific problems as well as the need for sharing specialized expensive instruments and huge amount of data required for solving these problems. The combination of Grid computing and Web-based architecture has been a common technological architecture employed to address the need for an integrated environment for scientific collaborations. However, this approach is subjected to a certain level of centralized administration and control. This has been seen as inflexible and does not scale well with respect to the heterogeneity of distributed user communities. This chapter introduces an orchestration of P2P and Grid computing for supporting distributed scientific collaborations. In the resulted architecture, a P2P collaborative environment is used for heterogeneous users to collaborate and tap into large-scale computational resources and experimental datasets in the Grid computing environment. The service oriented architecture is used as a means of integrating these two environments.

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