Prototype Algorithm Design for Web Based Service Oriented Architecture Mobile Augmented Reality System

Service oriented architecture (SOA) has been widely used in the design of enterprise applications over the last two decades. Though SOA has become popular in the integration of multiple applications using the enterprise service bus, there are few challenges related to delivery, deployment, governance, and interoperability of services. To overcome the design and maintenance challenges in SOA, a new architecture of microservices has emerged with loose coupling, independent deployment, and scalability as its key features. With the advent of microservices, software architects have started to migrate legacy systems to microservice architecture. However, many challenges arise during the migration of SOA to microservices, including the decomposition of SOA to microservice, the testing of microservices designed using different programming languages, and the monitoring the microservices. In this paper, we aim to provide patterns for the most recurring problems highlighted in the literature i.e, the decomposition of SOA services, the size of each microservice, and the detection of anomalies in microservices. The suggested patterns are combined with our experience in the migration of SOA-based applications to the microservices architecture, and we have also used these patterns in the migration of other SOA applications. We evaluated these patterns with the help of a standard web-based application.

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Integrated Supply Chain Intelligence through Collaborative Planning, Analytics and Monitoring

Advances in Business Information Systems and Analytics - Electronic Supply Network Coordination in Intelligent and Dynamic Environments ◽

10.4018/978-1-60566-808-6.ch003 ◽

2011 ◽

pp. 43-92 ◽

Cited By ~ 7

Author(s):

Nenad Stefanovic ◽

Dusan Stefanovic ◽

Bozidar Radenkovic

Keyword(s):

Supply Chain ◽

Performance Management ◽

Business Intelligence ◽

Service Oriented Architecture ◽

Collaborative Planning ◽

Research Trends ◽

Future Research ◽

Web Based ◽

Service Oriented ◽

Integrated Supply Chain

As supply chains are growing increasingly complex, from linear arrangements to interconnected, multi-echelon, collaborative networks of companies, there is much more information that needs to be stored and analyzed than there was just a few years ago. Today, there are variety of business initiatives and technologies such as joint planning and execution, business intelligence, performance management, data mining and alerting that can be used for more efficient supply chain management. However, organizations still lack methods, processes and tools to successfully design and implement these systems. In this chapter, the authors present the integrated supply chain intelligence (SCI) system that enables collaborative planning and decision making through web-based analytics and process monitoring. The system is process based and utilizes business intelligence and Internet technologies. Multi-layered and service-oriented architecture enables composition of the new breed of SCI applications. They describe main elements and capabilities of the system, its advantages over existing systems and also discuss future research trends and opportunities.

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Transitioning Business Processes to a Collaborative Business Environment with Mobility

Handbook of Research in Mobile Business, Second Edition ◽

10.4018/978-1-60566-156-8.ch007 ◽

2009 ◽

pp. 73-82

Author(s):

Bhuvan Unhelkar ◽

Amit Tiwary ◽

Abbass Ghanbary

Keyword(s):

Web Services ◽

Enterprise Architecture ◽

Business Processes ◽

Service Oriented Architecture ◽

Business Environment ◽

Web Based ◽

Software Applications ◽

Comprehensive Service ◽

Service Oriented ◽

Web Based System

Web Services (WS) technologies create the potential for an organization to collaborate with partners and customers by enabling its software applications to transact over the Internet. This collaboration is achieved by carefully incorporating Web Services in the organization’s software applications, resulting in comprehensive Service-Oriented Architecture (SOA) for the enterprise. This incorporation of WS-enabled applications and components in the organization’s overall enterprise architecture requires understanding of the service at three interrelated yet distinct layers: policies, activities, and standards. This chapter describes how the existing business processes of an organization are transitioned in to collaborative business processes that would result in a Collaborative Web- Based System (CWBS). The ideas presented in this chapter have been validated through an action-research carried out by the authors in a large energy supplier organization in Melbourne, Australia.

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A Comparative Analysis of Reliability Assessment Methods for Web-Based Software

International Journal of Software Innovation ◽

10.4018/ijsi.2013100103 ◽

2013 ◽

Vol 1 (4) ◽

pp. 31-44 ◽

Cited By ~ 4

Author(s):

Jinhee Park ◽

Yeong-Seok Seo ◽

Jongmoon Baik

Keyword(s):

Service Oriented Architecture ◽

Reliability Assessment ◽

Dynamic Environment ◽

Assessment Methods ◽

Software Systems ◽

Web Based ◽

Software Applications ◽

Web Environment ◽

Service Oriented ◽

The Web

As web technology has advanced, many business software applications are built on the web. In such web environment, it has become very important to ensure the reliabilities of web-based software systems such as Software as a Service (SaaS) or Service-Oriented Architecture (SOA) based systems because service failures in those systems may have an effect on extensive users. With the comparison to the reliability studies on traditional software, there are only a few studies on the reliability of web-based software. The dynamic environment of the web makes it much more complicated to assess the reliabilities of web-based software. In this paper, the authors investigate the characteristics of reliability assessment methods for web-based software such as SaaS and SOA based software systems. The authors also evaluate those methods based on hypothetical execution scenarios to analyze the strengths and weaknesses of each method. This analysis helps us to identify remaining problems on the reliability research in the web environment and provides insight into possible solutions.

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Mobile augmented reality system for in-situ 3D modeling and authoring

2014 International Conference on Big Data and Smart Computing (BIGCOMP) ◽

10.1109/bigcomp.2014.6741453 ◽

2014 ◽

Author(s):

Han Kyu Yoo ◽

Jong Weon Lee

Keyword(s):

Augmented Reality ◽

3D Modeling ◽

Mobile Augmented Reality ◽

Augmented Reality System

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Computational Methods Applied to Modelica Simulation Models in a Web Based Framework

Volume 2: 31st Design Automation Conference, Parts A and B ◽

10.1115/detc2005-85428 ◽

2005 ◽

Cited By ~ 1

Author(s):

Bjo¨rn Johansson

Keyword(s):

Design Optimization ◽

Computational Methods ◽

Probabilistic Analysis ◽

Service Oriented Architecture ◽

Simulation Models ◽

Computational Design ◽

Design Data ◽

Web Based ◽

Actuation System ◽

Service Oriented

In this paper, it is illustrated how computational design methods such as design optimization and probabilistic analysis is applied to system simulation models in a web based framework. Special emphasis is given models defined in the Modelica modeling language. An XML-based information system for representation and management of design data for use together with Modelica models as well as other types of models is proposed. This approach introduces a separation between the model of the system and data related to the design of the product. This is important in order to facilitate the use of computational methods in a generic way. A web based framework for integration of simulation models and computational methods is further illustrated. The framework is based on open standards for distributed computing and enables so-called service oriented architecture. Finally, an example is presented, where design optimization and probabilistic analysis is carried out on a Modelica model of an aircraft actuation system using the proposed and implemented tools and methods.

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