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.

Log-Based Reliability Analysis of Software as a Service (SaaS)

Abstract: Software as a Service (SaaS) has gained momentum in the past few years and businesses have been increasingly moving to SaaS model for their IT solutions. SaaS is a newer and transformed model where software is delivered to customers as a service over the web. With the SaaS model, there is a need for service providers to ensure that the services are available and reliable for end users at all times, which introduces significant pressure on the service provider to ensure right test processes and methodologies to minimize any impact to the provisions in Service Level Agreements (SLA). There is lack of research on the unique approaches to reliability analysis of SaaS suites. In this paper, we expand traditional approaches to reliability analysis of traditional web servers and propose methods tailored towards assessing the workload and reliability of SaaS applications. In addition we show the importance of data filtration when assessing SaaS reliability from log files. Finally, we discuss the suitability of reliability measures with respect to their relevance in the context of SLAs.

Cloud computing challenges and opportunities: A survey

Abstract: The approval rating of cloud computing as an emerging technology has been enhanced significantly and these days, there are many cloud storage and computing providers who offer their services regarding IaaS, PaaS, and SaaS. Despite these considerable benefits, there are serious concerns and challenges about this new technology. The most important issue is related to security and privacy subjects in cloud-based environments. Furthermore, resource allocation, load balancing, data management, data availability, scalability, compatibility and interoperability are the other challenges in cloud-based environments that decrease efficiency and reliability of this technology. In this paper, challenges and concerns related to cloud-based environments have been identified and most appropriate current solutions for each challenge have been described.

The Financial Clouds Review

Abstract: This paper demonstrates financial enterprise portability, which involves moving entire application services from desktops to clouds and between different clouds, and is transparent to users who can work as if on their familiar systems. To demonstrate portability, reviews for several financial models are studied, where Monte Carlo Methods MCM and Black Scholes Model BSM are chosen. A special technique in MCM, Least Square Methods, is used to reduce errors while performing accurate calculations. Simulations for MCM are performed on different types of Clouds. Benchmark and experimental results are presented for discussion. 3D Black Scholes are used to explain the impacts and added values for risk analysis. Implications for banking are also discussed, as well as ways to track risks in order to improve accuracy. A conceptual Cloud platform is used to explain the contributions in Financial Software as a Service FSaaS and the IBM Fined Grained Security Framework. This study demonstrates portability, speed, accuracy, and reliability of applications in the clouds, while demonstrating portability for FSaaS and the Cloud Computing Business Framework CCBF.

From on-premise software to cloud services: the impact of cloud computing on enterprise software vendors' business models

Abstract: Cloud computing is an emerging paradigm that allows users to conveniently access computing resources as pay-per-use services. Whereas cloud offerings such as Amazon's Elastic Compute Cloud and Google Apps are rapidly gaining a large user base, enterprise software's migration towards the cloud is still in its infancy. For software vendors the move towardscloud solutions implies profound changes in their value-creation logic. Not only are they forced to deliver fully web-enabled solutions and to replace their license model with service fees, they also need to build the competencies to host and manage business-critical applications for their customers. This motivates our research, which investigates cloud computing's implications for enterprise software vendors' business models. From multiple case studies covering traditional and pure cloud providers, we find that moving from on-premise software to cloud services affects all business model components, that is, the customer value proposition, resource base, value configuration, and financial flows. It thus underpins cloud computing's disruptive nature in the enterprise software domain. By deriving two alternative business model configurations, SaaS and SaaS+PaaS, our research synthesizes the strategic choices for enterprise software vendors and provides guidelines for designing viable business models.

Dynamic software licensing and purchase architecture

Abstract: A method, computer program product, and data processing system for supporting application-generic licensing and purchasing of software in an intranet or internet in disclosed. A client license application resides on a client computer. The client license application cooperates with a software delivery server to install new software. The software delivery server uses a resource discovery protocol to identify software applications meeting requirements of the client license application. The software delivery server initiates the purchase of licenses at a purchase server and the installation of the software on the client computer. A license database is used to keep track of software licensed for use by particular users, organizations, or data processing systems. The software delivery server provides the additional feature of periodically consulting the license database to determine whether to notify a user of an expired or soon-to-expire software license or new versions of software that may replace currently installed versions.