Business Models for Cloud Computing: Experiences from Developing Modeling & Simulation as a Service Applications in Industry

The potential of cloud computing is gaining significant interest in Modeling & Simulation (M&S). The underlying concept of using computing power as a utility is very attractive to users that can access state-of-the-art hardware and software without capital investment. Moreover, the cloud computing characteristics of rapid elasticity and the ability to scale up or down according to workload make it very attractive to numerous applications including M&S. Research and development work typically focuses on the implementation of cloud-based systems supporting M&S as a Service (MSaaS). Such systems are typically composed of a supply chain of technology services. How is the payment collected from the end-user and distributed to the stakeholders in the supply chain? We discuss the business aspects of developing a cloud platform for various M&S applications. Business models from the perspectives of the stakeholders involved in providing and using MSaaS and cloud computing are investigated and presented.

The Data of Things: Strategies, Patterns and Practice of Cloud-based Participatory Sensing

The broad capabilities of current mobile devices have paved the way for Mobile Crowd Sensing (MCS) applications. The success of this emerging paradigm strongly depends on the quality of received data which, in turn, is contingent to mass user participation; the broader the participation, the more useful these systems become. However, there is an ongoing trend that tries to integrate MCS applications with emerging computing paradigms such as cloud computing. The intuition is that such a transition can significantly improve the overall efficiency while at the same time it offers stronger security and privacy-preserving mechanisms for the end-user. In this position paper, we dwell on the underpinnings of incorporating cloud computing techniques to facilitate the vast amount of data collected in MCS applications. That is, we present a list of core system, security and privacy requirements that must be met if such a transition is to be successful. To this end, we first address several competing challenges not previously considered in the literature such as the scarce energy resources of battery-powered mobile devices as well as their limited computational resources that they often prevent the use of computationally heavy cryptographic operations and thus offering limited security services to the end-user. Finally, we present a use case scenario as a comprehensive example. Based on our findings, we posit open issues and challenges, and discuss possible ways to address them, so that security and privacy do not hinder the migration of MCS systems to the cloud.

Accessibility Instrument Survey

This chapter presents the main results of the Accessibility Instrument Survey (AIS), collecting basic information on each of the accessibility instruments reviewed in this report (for more detail on these Instruments see Chapter 3). The aim of the survey was to enable quick, objective and comparable overviews of each of the reviewed accessibility instruments. The information collected will enable the categorization of accessibility instruments present in this research, aiming to be a reference for future categorization of accessibility instruments for planning practice. These categories will support the analysis of the coverage of accessibility instruments in this research, i.e., identify how representative this research is across different accessibility instrument types. In addition, these will be used to analyse the characteristics and concerns which most frequently underlie the development of accessibility instruments. Finally, the survey also collects developer’s perceptions on the usefulness of their accessibility instruments in planning practice, enabling the first insight into the main research question of this COST Action, although limited to the developer’s point of view. In summary, the results of the survey will be used for four purposes: Development of an accessibility instrument sheet for each accessibility instrument summarizing its main characteristics (Appendix A); Identify the coverage of accessibility instrument types present in this research (Section 4.3.1) discussing the representativeness of this Action; Provide a glimpse on the characteristics and concerns which most frequently underlie the development of accessibility instruments (Section 4.3.2); Provide a first insight into the perceived usefulness of accessibility instruments in planning practice from the point of view of the developer (Section 4.3.2 and Section 4.3.3). The next section provides an overview of the Survey describing the information collected. This section also describes the development process of this survey including data collection, dates and means. The results of the survey are analysed in the third section starting with a discussion on the coverage of accessibility instruments reviewed by this research (Section 4.3.1), identifying accessibility measure types which are represented and which are absent. This discussion is accompanied by the presentation of the main categories of accessibility instruments from the perspective of the end user. These categories try to summarize the main concerns planning practitioners are expected to have when searching for an accessibility instrument and is built upon some of the information collected by the survey. Following, the third section also presents a general analysis of the results (Section 4.3.2), focussing on the dominant characteristics of the accessibility instruments reviewed and on the developer’s perception of the usefulness their instrument will have for end users. The section ends with a brief cross analysis of results (Section 4.3.3) trying to identify relationships between accessibility instrument characteristics and perceptions of usefulness by developers. The fourth and last section presents the main conclusions of this study.

Simulating Business Processes of Manufacturing SMEs on the Cloud

Simulating the efficiency of business processes could reveal crucial bottlenecks for manufacturing companies and could lead to significant optimizations resulting in decreased time to market, more efficient resource utilization, and larger profit. While such business optimization software is widely utilized by larger companies, SMEs typically do not have the required expertise and resources to efficiently exploit these advantages. The aim of this work is to explore how simulation software vendors and consultancies can extend their portfolio to SMEs by providing business process optimization based on a cloud computing platform. By executing simulation runs on the cloud, software vendors and associated business consultancies can get access to large computing power and data storage capacity on demand, run large simulation scenarios on behalf of their clients, analyze simulation results, and advise their clients regarding process optimization. The solution is mutually beneficial for both vendor/consultant and the end-user SME. End-user companies will only pay for the service without requiring large upfront costs for software licenses and expensive hardware. Software vendors can extend their business towards the SME market with potentially huge benefits.