Service oriented architecture for load balancing with fault tolerant in grid computing

2016 ◽  
Author(s):  
V. Indhumathi ◽  
G. M. Nasira
Keyword(s):  
Load Balancing ◽  
Grid Computing ◽  
Service Oriented Architecture ◽  
Fault Tolerant ◽  
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.

Elastic Optical Network Service-Oriented Architecture (SOA) Used for Cloud Computing and Its Resource Mapping Optimization Scheme

2020 ◽  
Vol 15 (4) ◽  
pp. 442-449
Author(s):  
Xun Xia ◽  
Ling Chen
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
Service Oriented Architecture ◽  
Optical Network ◽  
Spectrum Utilization ◽  
Mapping Algorithm ◽  
Resource Mapping ◽  
Elastic Optical Network ◽  
Service Oriented

In this study, starting from the elastic optical network, the layered and function isolated service-oriented architecture (SOA) is introduced, so as to propose an elastic optical network SOA for cloud computing, and further study the resource mapping of optical network. Linear mapping model, random routing mapping algorithm, load balancing mapping algorithm and link separation mapping algorithm are introduced respectively, and the resource utilization effect of different mapping algorithms for the proposed optical network is compared. During the experiment, firstly, the elastic optical network is tested. It is found that the node utilization and spectrum utilization of the underlying optical fiber level network are significantly improved. Within the average service time of 0.312 s∼0.416 s, the corresponding node utilization and spectrum utilization are 90% and 80% respectively. In the resource mapping experiment, load balancing algorithm and link separation algorithm can effectively improve the mapping success rate of services. Among them, the link separation mapping algorithm can improve the spectrum resource utilization of optical network by 15.6%. The elastic optical network SOA proposed in this study is helpful to improve the use of network resources.

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.

A Flight Simulator that Grouping Aircrafts Simultaneously Take off and Land in Open Grid Computing Environment

2012 ◽  
Vol 182-183 ◽  
pp. 1292-1297 ◽  
Author(s):  
Zhi Lü ◽  
Zhan Gao ◽  
Yi Lü
Keyword(s):  
Distributed Computing ◽  
Thermodynamic Properties ◽  
Grid Computing ◽  
Service Oriented Architecture ◽  
Performance Measure ◽  
Flight Simulator ◽  
Computing Environment ◽  
Commercial Airline ◽  
Service Oriented ◽  
Aircraft Accident

The performance of airplane in commercial airline environment is determined by, and therefore an indicator of performance measure of, the thermodynamic properties of airplane. The aim of this study was to establish the use of simulators to determine aircraft accident for a flight of airplanes and evaluate the potential of new airspace structure and airport’s runway. This indicates that there is a possibility of obtaining airplane performance from analysis and verification simulating airplane. As compared with AIRBUS Full Flight Simulator, a multiple aircrafts flight simulator that grouping aircrafts simultaneously take off and land was presented, which is basis on a parallel distributed computing in Open Grid Computing Environment (OGCE), and service oriented architecture (SOA) of software in multiple aircraft simulator, the performance of collaborative flight of multiple aircrafts is evaluated.

scholarly journals Service Oriented Load Balancing Framework in Computational Grid Environment

2013 ◽  
Vol 9 (3) ◽  
pp. 1091-1098 ◽  
Author(s):  
Sukalyan Goswami ◽  
Ajanta De Sarkar
Keyword(s):  
Load Balancing ◽  
Grid Computing ◽  
High Performance Computing ◽  
Resource Sharing ◽  
High Performance ◽  
Computational Grid ◽  
Computing Systems ◽  
Grid Systems ◽  
Service Oriented ◽  
Performance Computing

Grid computing or computational grid has become a vast research field in academics. It is a promising platform that provides resource sharing through multi-institutional virtual organizations for dynamic problem solving. Such platforms are much more cost-effective than traditional high performance computing systems. Due to the provision of scalability of resources, these days grid computing has become popular in industry as well. However, computational grid has different constraints and requirements to those of traditional high performance computing systems. In order to fully exploit such grid systems, resource management and scheduling are key challenges, where issues of task allocation and load balancing represent a common problem for most grid systems as because the load scenarios of individual grid resources are dynamic in nature. The objective of this paper is to review different existing load balancing algorithms or techniques applicable in grid computing and propose a layered service oriented framework for computational grid to solve the prevailing problem of dynamic load balancing.

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

2010 ◽  
pp. 190-212
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.

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