Software as a service

About: Software as a service is a research topic. Over the lifetime, 8514 publications have been published within this topic receiving 136177 citations. The topic is also known as: Service as a Software Substitute & SaaSS.

A cloud computing platform for ERP applications

Abstract: A CloudERP platform was proposed.Customers can select web services and customize an ERP system.The proposed process builds on the GA and incorporates with the rough set theory.A prototype was built on the Google App Engine to verify the proposed process. Cloud computing enables many applications of Web services and rekindles the interest of providing ERP services via the Internet. It has the potentials to reshape the way IT services are consumed. Recent research indicates that ERP delivered thru SaaS will outperform the traditional IT offers. However, distributing a service compared to distributing a product is more complicated because of the immateriality, the integration and the one-shot-principle referring to services. This paper defines a CloudERP platform on which enterprise customers can select web services and customize a unique ERP system to meet their specific needs. The CloudERP aims to provide enterprise users with the flexibility of renting an entire ERP service through multiple vendors. This paper also addresses the challenge of composing web services and proposes a web-based solution for automating the ERP service customization process. The proposed service composition method builds on the genetic algorithm concept and incorporates with knowledge of web services extracted from the web service platform with the rough set theory. A system prototype was built on the Google App Engine platform to verify the proposed composition process. Based on experimental results from running the prototype, the composition method works effectively and has great potential for supporting a fully functional CloudERP platform.

Semantic Modeling for Cloud Computing, Part 1

Abstract: Cloud computing has lately become the attention grabber in both academia and industry. The promise of seemingly unlimited, readily available utility-type computing has opened many doors previously considered difficult, if not impossible, to open. The cloud computing landscape, however, is still evolving, and we must overcome many challenges to foster widespread adoption of clouds. The main challenge is interoperability.

Workload Migration into Clouds Challenges, Experiences, Opportunities

Abstract: The steady drumbeat of Cloud as a disruptive influence for Infrastructure Service Providers (ISP’s) and the enablement vehicle for Software As A Service (SAAS)providers can be heard loud and clear in the industry today. In fact, Cloud is probably at the peak of the hype curve, and already there are identified challenges associated with effective deployment for business critical applications (so called Production Applications) in mature enterprises. One of these challenges is the smooth migration of workload from the previous environment to the new cloud enabled environment in a cost effective way, with minimal disruption and risk. In this paper we introduce extensions to an integrated automation capability called the Darwin framework that enables workload migration for this scenario and discuss the impact that automated migration has on the cost and risks normally associated with migration to clouds.

Cloud Computing: Architectural and Policy Implications

Abstract: Cloud computing has emerged as perhaps the hottest development in information technology. Despite all of the attention that it has garnered, existing analyses focus almost exclusively on the issues that surround data privacy without exploring cloud computing’s architectural and policy implications. This article offers an initial exploratory analysis in that direction. It begins by introducing key cloud computing concepts, such as service-oriented architectures, thin clients, and virtualization, and discusses the leading delivery models and deployment strategies that are being pursued by cloud computing providers. It next analyzes the economics of cloud computing in terms of reducing costs, transforming capital expenditures into operating expenditures, aggregating demand, increasing reliability, and reducing latency. It then discusses the architectural implications of cloud computing for access networking (focusing on bandwidth, reliability, quality of service, and ubiquity) and data center interconnectivity (focusing on bandwidth, reliability, security and privacy, control over routing policies, standardization, and metering and payment). It closes by offering a few observations on the impact of cloud computing on the industry structure for data centers, server-related technologies, router-based technologies, and access networks, as well as its implications for regulation.

Applying Cloud Computing Technology to BIM Visualization and Manipulation

Abstract: A current trend in the construction sector is the application of Building Information Modeling (BIM) for the efficient integration and management of engineering information. Today, engineering consultant, construction and architectural companies conduct research into the development of BIM in order to integrate and visualize engineering information. The capabilities of BIM for information integration, visualization and parametric design, reduce duplication of work and interface integration complexity, significantly saving both time and cost. At present, BIM desktop applications such as Autodesk Architecture, Bentley Architecture and Graphsoft ArchiCAD, can only integrate and visualize information on-site. Difficulties remain in obtaining and updating information from other sites, which restricts communication and information distribution between different sites. As visualization efficiencies and hardware capabilities mature and continue to improve, the development framework of applications is now moving form “Client-Server” to “Host-based”, which is referred to as “Cloud Computing” technology. In this research, we utilize the concept of Software as a Service (SaaS) and Cloud Computing in order to develop a visual system for BIM visualization and manipulation. This system can not only visualize three-dimensional (3D) BIM models, it can also manipulate 3D BIM models through the web without the limitations of time or distance. This system can facilitate communication and distribution of information between related participants, such as construction companies, building owners and architectural companies in order to manage projects effectively and efficiently.