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.

Wireless sensor networks - new challenges in software engineering

Abstract: Software development for wireless sensor networks requires novel programming paradigms and technologies This article describes the concept of a new service oriented software architecture for mobile sensor networks With this architecture, a flexible, scalable programming of applications based on an adaptive middleware is possible The middleware supports mechanisms for cooperative data mining, self-organization, networking, and energy optimization to build higher-level service structures The purpose of our research activities is the development of a framework, which radically simplifies the development of software for sensor network applications

Software as a service: A look at the customer benefits

Abstract: This paper introduces readers to the concept of software as a service (SaaS) and helps them evaluate a business case for where to use SaaS in the enterprise. While the underlying concept behind SaaS — renting your business application as a service — is not new, changes in technology and the software landscape now make this model a viable and smart alternative to licensed software. By looking at the history of enterprise computing, the author illustrates why this new wave in computing models represents a natural evolution in technology. More importantly, by examining the hidden costs behind licensed software or the total cost of ownership, the author helps the reader better evaluate the trade-offs between licensed and hosted software.

Autonomic Cloud Computing: Open Challenges and Architectural Elements

Abstract: As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that are secure, reliable, and cost-efficient. Hence, effective management of services becomes fundamental in software platforms that constitute the fabric of computing Clouds. In this direction, this paper identifies open issues in autonomic resource provisioning and presents innovative management techniques for supporting SaaS applications hosted on Clouds. We present a conceptual architecture and early results evidencing the benefits of autonomic management of Clouds.

SaaS performance and scalability evaluation in clouds

Abstract: Cloud computing not only changes today's computing infrastructure, but also alters the way of obtaining computing resources, managing and delivering software and services. Meanwhile, cloud computing brings new issues, challenges, and needs in performance testing, evaluation and scalability measurement due to the special features of cloud computing, such as elasticity and scalability. This paper focuses on performance evaluation and scalability measurement issue for Software as a Service (SaaS) in clouds. It proposes new formal graphic models and metrics to evaluate SaaS performance and analyze system scalability in clouds. In addition, the paper reports an evaluation approach based on Amazon's EC2 cloud technology and detailed case study results using the proposed models and metrics.