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.

Cloud voip system with bypass for ip media

Abstract: The cloud computing VoIP system includes a software as a service (SaaS) site and one or more additional sites. The SaaS site includes a gateway and a call manager and is coupled for communication across an IP network and the PSTN. The call manager includes a media monitoring module, a bypass module, a PSTN control module and a GUI module. The SaaS site handles and controls voice and video calls over the IP network and the PSTN for endpoints at the one or more additional sites. In another embodiment, the cloud computing VoIP system is also coupled to a cellular network and the endpoints include an associated cellular phone. The cloud computing VoIP system also includes a method for falling back to a secondary network, namely the cellular network, when there is insufficient quality on a primary network.

Introducing the Open Source CUAHSI Hydrologic Information System Desktop Application (HIS Desktop)

Abstract: The U.S. National Science Foundation supported Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI) Hydrologic Information System (HIS) project includes extensive development of data storage and delivery tools and standards including WaterML (a language for sharing hydrologic data sets via web services), and HIS Server (a software tool set for delivering WaterML from a server). These and other CUASHI HIS tools have been under development and deployment for several years and together present a relatively complete software "stack", to support the consistent storage and delivery of hydrologic and other environmental observation data. This paper describes the development of a new HIS software tool called "HIS Desktop" and the development of an online open source software development community to update and maintain the software. HIS Desktop was envisioned as a local (i.e. not server-based) client side software tool that ultimately will run on multiple operating systems and will provide a highly usable level of access to HIS Services. The software will provide several capabilities including data query, map-based visualization, data download, local data maintenance, editing, graphing, data export to selected model-specific data formats, linkage with integrated modeling systems such as OpenMI, and ultimately upload to the HIS server from the local desktop software. As the software is presently in the early stages of development, this paper focuses on design approach and paradigm and is presented to encourage participation in the open development community. Indeed, recognizing the value of community based code development as a means of ensuring end-user adoption, this project has adopted an "iterative" or "spiral" software development approach where 1) the general project requirements and hard boundary conditions are specified at the outset; 2) an initial brief functionality requirements list is developed; 3) the initial limited system is produced primarily by the core funded developer team, but with voluntary external programmer support as it becomes available; 4) testing and bug fixes by the developer team; 5) deployment of an installation package for end-users; 6) collection of bug notices and feature requests from end-users; 7) identification of specific bugs and features to be addressed in a new release; 8) addition of these features by the developer team, etc. This development approach is the most common approach used by open source projects because of its flexible and dynamic nature. This model is well suited to a community project where it is difficult (and often not useful) to fully-specify the functionality set required for a software release (i.e. as in the "waterfall" development approach), but rather it is desirable to maintain an open structure that can easily be extended through the development of third party plug-ins to support as-yet unknown functions and capabilities, as well as a clear policy on how code is moved into the core system, and how external developers are included in the developer team.

Cloud4Psi: Cloud Computing for 3D Protein Structure Similarity Searching

Abstract: Summary: Popular methods for 3D protein structure similarity searching, especially those that generate high-quality alignments such as Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) are still time consuming. As a consequence, performing similarity searching against large repositories of structural data requires increased computational resources that are not always available. Cloud computing provides huge amounts of computational power that can be provisioned on a pay-as-you-go basis. We have developed the cloud-based system that allows scaling of the similarity searching process vertically and horizontally. Cloud4Psi (Cloud for Protein Similarity) was tested in the Microsoft Azure cloud environment and provided good, almost linearly proportional acceleration when scaled out onto many computational units. Availability and implementation: Cloud4Psi is available as Software as a Service for testing purposes at: http://cloud4psi.cloudapp.net/. For source code and software availability, please visit the Cloud4Psi project home page at http://zti.polsl.pl/dmrozek/science/cloud4psi.htm. Contact: lp.lslop@kezorm.zsuirad

Agricultural planting and breeding-based Internet of things cloud service system and service flow method

Abstract: The invention relates to an agricultural planting and breeding-based Internet of things cloud service system, which comprises a cloud terminal node core network element, a ubiquitous information transmission network core network element and a cloud service center core network element. The agricultural planting and breeding-based Internet of things cloud service system has the advantages of combining internet of things and cloud computation with agricultural planting and the breeding industry, realizing butt joint between the internet of things technology and the cloud computation technology in the agricultural planting and breeding information service, better solving a plurality of problems existing in current protected agriculture and public agricultural product information service, realizing access of scale farming perception terminals and fusion of mass data traffic, effectively reducing the using threshold of agricultural information server according to an SaaS (Software as a Service) model to be served, improving the agricultural information service efficiency, providing automatic, refined and intelligentized management and control on various production and operation links for producers and managers in the agricultural planting and bleeding process, providing traceability management for agricultural product information for consumers, enhancing safety management and control of agricultural products and reducing the food safety accidents.