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: Hecker, a developer at Netscape, discusses the business of commercial open-source software, including why a company might adopt an open- source model, how open- sources works, what business models might be usable and how various objections relating to open source might be answered.
Abstract: Hecker, a developer at Netscape, discusses the business of commercial open-source software, including why a company might adopt an open-source model, how open-source licensing works, what business models might be usable and how various objections relating to open source might be answered
235 citations
20 Sep 2010
TL;DR: As this paper advocates, a wrong architectural choice might entail that multi-tenancy becomes a maintenance nightmare, making the technology attractive for service providers targeting small and medium enterprises (SME).
Abstract: Multi-tenancy is a relatively new software architecture principle in the realm of the Software as a Service (SaaS) business model. It allows to make full use of the economy of scale, as multiple customers - "tenants" - share the same application and database instance. All the while, the tenants enjoy a highly configurable application, making it appear that the application is deployed on a dedicated server. The major benefits of multi-tenancy are increased utilization of hardware resources and improved ease of maintenance, in particular on the deployment side. These benefits should result in lower overall application costs, making the technology attractive for service providers targeting small and medium enterprises (SME). However, as this paper advocates, a wrong architectural choice might entail that multi-tenancy becomes a maintenance nightmare.
234 citations
27 Jun 2013
TL;DR: This paper proposes the CloudThings architecture, a Cloud-based Internet of Things platform which accommodates CloudThings IaaS, PaaS and SaaS for accelerating IoT application, development, and management.
Abstract: The Internet of Things presents the user with a novel means of communicating with the Web world through ubiquitous object-enabled networks. Cloud Computing enables a convenient, on demand and scalable network access to a shared pool of configurable computing resources. This paper mainly focuses on a common approach to integrate the Internet of Things (IoT) and Cloud Computing under the name of CloudThings architecture. We review the state of the art for integrating Cloud Computing and the Internet of Things. We examine an IoT-enabled smart home scenario to analyze the IoT application requirements. We also propose the CloudThings architecture, a Cloud-based Internet of Things platform which accommodates CloudThings IaaS, PaaS, and SaaS for accelerating IoT application, development, and management. Moreover, we present our progress in developing the CloudThings architecture, followed by a conclusion.
234 citations
TL;DR: An extensive evaluation study is conducted to analyse which solution suits best in which scenario to maximize SaaS [email protected]?s profit and shows that the proposed algorithms provide substantial improvement over reference ones across all ranges of variation in QoS parameters.
229 citations
TL;DR: At the core of cloud computing is a simple concept: software as a service, or SaaS, but a complex concoction of paradigms, concepts, and technologies envelop cloud computing.
Abstract: At the core of cloud computing is a simple concept: software as a service, or SaaS. Whether the underlying software is an application, application component, platform, framework, environment, or some other soft infrastructure for composing applications to be delivered as a service on the Web, it's all software in the end. But the simplicity ends there. Just a step away from that core, a complex concoction of paradigms, concepts, and technologies envelop cloud computing.
229 citations