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.

Ousting ivory tower research: towards a web framework for providing experiments as a service

Abstract: With its close ties to the Web, the IR community is destined to leverage the dissemination and collaboration capabilities that the Web provides today. Especially with the advent of the software as a service principle, an IR community is conceivable that publishes experiments executable by anyone over the Web. A review of recent SIGIR papers shows that we are far away from this vision of collaboration. The benefits of publishing IR experiments as a service are striking for the community as a whole, and include potential to boost research profiles and reputation. However, the additional work must be kept to a minimum and sensitive data must be kept private for this paradigm to become an accepted practice. To foster experiments as a service in IR, we present a Web framework for experiments that addresses the outlined challenges and possesses a unique set of compelling features in comparison to existing solutions. We also describe how our reference implementation is already used officially as an evaluation platform for an established international plagiarism detection competition.

Management of composite software services

Abstract: A computer implemented method, data processing system, computer usable program code, and active repository are provided for management of a software service. A request is received to deploy the software service in a computer network. A dependency analysis is performed for the requested software service to determine component software services and physical resources necessary to deploy and manage new software service as a composite in responsive to the software service being the new software service. An active object is created to manage the new software service using an active template based on the analysis. The new software service is deployed in the computer network using the active object. The new software service is managed using the active object.

A Workflow Management System for Scalable Data Mining on Clouds

Abstract: The extraction of useful information from data is often a complex process that can be conveniently modeled as a data analysis workflow. When very large data sets must be analyzed and/or complex data mining algorithms must be executed, data analysis workflows may take very long times to complete their execution. Therefore, efficient systems are required for the scalable execution of data analysis workflows, by exploiting the computing services of the Cloud platforms where data is increasingly being stored. The objective of the paper is to demonstrate how Cloud software technologies can be integrated to implement an effective environment for designing and executing scalable data analysis workflows. We describe the design and implementation of the Data Mining Cloud Framework (DMCF), a data analysis system that integrates a visual workflow language and a parallel runtime with the Software-as-a-Service (SaaS) model. DMCF was designed taking into account the needs of real data mining applications, with the goal of simplifying the development of data mining applications compared to generic workflow management systems that are not specifically designed for this domain. The result is a high-level environment that, through an integrated visual workflow language, minimizes the programming effort, making easier to domain experts the use of common patterns specifically designed for the development and the parallel execution of data mining applications. The DMCF's visual workflow language, system architecture and runtime mechanisms are presented. We also discuss several data mining workflows developed with DMCF and the scalability obtained executing such workflows on a public Cloud.

Towards Provisioning the Cloud: On the Usage of Multi-Granularity Flows and Services to Realize a Unified Provisioning Infrastructure for SaaS Applications

Abstract: The automatic provisioning of applications is an important task for the success of software as a service (SaaS) providers. Different provisioning engines from different vendors and open source projects with different interfaces have been emerging lately. Additionally, infrastructure providers that provide infrastructure on demand now provide computing resources that can be integrated in a SaaS providerpsilas computing environment. In order to allow SaaS application providers to specify generic installation and maintenance flows independent from the underlying provisioning engines we propose an architecture for a generic provisioning infrastructure based on Web services and workflow technology.