Topic
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.
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TL;DR: A multi-cloud PaaS management as a result of the Cloud4SOA European project that addresses interoperability challenges in the Cloud Platform as a Service market.
Abstract: Cloud Platform as a Service (PaaS) is a novel paradigm that enables software developers to create (develop or integrate), deploy, execute, and manage business applications, using a service provided by a third party. The diversity and heterogeneity of the existing PaaS offerings raises several interoperability challenges. The actual Platform as a Service market is still quite young, chaotic and highly fragmented, dominated by a few providers which use and promote incompatible standards and formats. This introduces adoption barriers due to the lock-in issues that prevent the portability of data and software from one PaaS to another. Moreover, software developers do not only need to deploy applications into a specific Cloud platform, but also to migrate applications from one Cloud platform to another, and to manage distributed applications spanning multiple PaaS. In this paper, we present a multi-cloud PaaS management as a result of the Cloud4SOA European project that addresses these challenges.
32 citations
TL;DR: Experimental results exhibit that the proposed framework achieves high accuracy as compared to the state-of-the-art approaches in terms of disease risk assessment and expert user recommendation.
32 citations
TL;DR: This paper has identified the four key activities required by scientists with whom the authors work, and designed an integrated system—e-Science Central—to provide them, which exploits three emerging technologies: software as a service to avoid the need for users to deploy and maintain any of their own software.
Abstract: Scientists face many severe challenges in extracting value from the increasingly large volumes of data they generate. In this paper we describe the requirements we have derived from working across a wide range of e-science projects. In particular, the CARMEN neuroinformatics project has exposed a range of challenges due to a need to analyse and share large volumes of data. We have identified the four key activities required by scientists with whom we work, and designed an integrated system—e-Science Central—to provide them. This exploits three emerging technologies: software as a service to avoid the need for users to deploy and maintain any of their own software; social networking to allow users to collaborate by sharing data, services and workflows in a controlled manner and Cloud computing to provide scalable compute resources. The system can not only be used through any web browser, but also provides an API so that applications can build on the core functionality. We describe the requirements, and the design that flows from them. This includes data storage with in-built versioning and signing, an in-browser workflow editor and a job scheduling system that allows workflows to be run both on local ‘private’ clouds and the Microsoft Azure Cloud. Copyright © 2010 John Wiley & Sons, Ltd.
32 citations
11 Sep 2004
TL;DR: In this paper, the authors report findings from a survey that has been conducted in Finland to study how the software product companies have matured and evolved over the years, and provide some overall data on the sector, and discuss some specific issues related to the software RD and their biggest challenges in growth are not technical but management and marketing related.
Abstract: We report findings from a survey that has been conducted in Finland to study how the software product companies have matured and evolved over the years. In addition to introducing some key terms for characterizing the software product business, we provide some overall data on the sector, and discuss some specific issues related to the software RD and their biggest challenges in growth are not technical but management and marketing related. Furthermore, we also discovered that the most important improvement areas are improving the degree of productization and level of competence of personnel and that the ability to network with other companies is critical for younger companies. This survey also revealed that programming and planning are the two most common types of subcontracting, and difficulties in modularity and specifications are the biggest hurdles that prevent wider use of subcontracting.
32 citations
TL;DR: Results indicate that the overall complexity of the studied distributed systems overwhelmed the ease-of-use and simplicity of their components — thus increasing the overall difficulty of software maintenance.
32 citations