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

Author(s):  
Bjo¨rn Johansson

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.

Author(s):  
Vinay Raj ◽  
Ravichandra Sadam

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.


Author(s):  
Nenad Stefanovic ◽  
Dusan Stefanovic ◽  
Bozidar Radenkovic

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.


Author(s):  
Bhuvan Unhelkar ◽  
Amit Tiwary ◽  
Abbass Ghanbary

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.


2013 ◽  
Vol 1 (4) ◽  
pp. 31-44 ◽  
Author(s):  
Jinhee Park ◽  
Yeong-Seok Seo ◽  
Jongmoon Baik

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.


Author(s):  
Daniel (Jian) Sun ◽  
Zhong-Ren Peng ◽  
Xiaofang Shan ◽  
Weiya Chen ◽  
Xiaoqing Zeng

Author(s):  
Kamatchi Pillai ◽  
Cagil Ozansoy

This chapter introduces the Digital Ecosystem (DE) concept and its application in the home environments. DEs are clusters of distributed and diverse digital components, which interact with each other in a self-organising, scalable, and sustainable manner. This could be viewed similar to the interaction of living organisms in a biological ecosystem. The DE concept has traditionally found widespread use in the business environments. However, the concept can well be applied to the home environment, giving rise to the concept of Digital Habitat Ecosystem (DHE). Thus a DHE refers to a cluster of devices for measurement, control, and sensing of environment parameter with the help of Information and Communication Technologies (ICTs). The primary incentive behind this chapter is to show how the DHE concept can be used for maximising the utilisation of vital resources, such as water and electricity, in the home environment and leading to a more sustainable living. Furthermore, the work outlined in this chapter proposes Digital Habitat Ecosystem Architecture (DHEA), which integrates the various digital elements of a home network in a holistic manner. However, there are some current digital system architectures such as Service Oriented Architecture (SOA) available these days; this chapter discusses the shortcomings of the SOA architecture and how the proposed DHEA will rectify the same. In addition, this chapter gives an overview of the static web based model of the home management system, how dynamic DHE varies from those existing models.


2012 ◽  
pp. 52-76
Author(s):  
Tran Vu Pham ◽  
Lydia M.S. Lau ◽  
Peter M Dew

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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