60,471 research outputs found
A study on Mobile Requirements Elicitation by Boilerplate Requirements Specification Language
With the increasing use of mobile information systems, mobile devices are being used for gradually more complex tasks. Therefore it is also necessary to pay more attention to requirements methods for such systems. One way of supporting requirements engineering is through templates for how to write requirements, often guided by taxonomies. In this paper we propose templates especially for mobility-related requirements, based on a combination of so-called requirements boilerplates as presented by Hull et al. and a taxonomy of mobility-related requirements presented in a previous publication by ourselves. The proposed requirements templates are illustrated by examples, and our work indicates that mobility-related requirements specification may benefit from the use of boilerplates as long as natural language remains an important part of such specifications
A Study On Mobile Business Through Social Media
With the increasing use of mobile information systems, mobile devices find its utility growing gradually for business processes. Equally there has been considerable growth of business opportunities over social media provides a win-win situation for both users and business people. Therefore it is also necessary to pay more attention to mobile business processes and social media methods for such systems. One way of analyzing importance of business process over social media is through mobile services acceptance model. In this paper we analyze mobile business process through social media using mobile services acceptance model as presented by Gao et al. and taxonomy of mobility-related requirements that enhances the business processes through recent portable devices. This study indicates basic requirements for Mobile business especially that fits through social media
A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing
Edge computing is promoted to meet increasing performance needs of
data-driven services using computational and storage resources close to the end
devices, at the edge of the current network. To achieve higher performance in
this new paradigm one has to consider how to combine the efficiency of resource
usage at all three layers of architecture: end devices, edge devices, and the
cloud. While cloud capacity is elastically extendable, end devices and edge
devices are to various degrees resource-constrained. Hence, an efficient
resource management is essential to make edge computing a reality. In this
work, we first present terminology and architectures to characterize current
works within the field of edge computing. Then, we review a wide range of
recent articles and categorize relevant aspects in terms of 4 perspectives:
resource type, resource management objective, resource location, and resource
use. This taxonomy and the ensuing analysis is used to identify some gaps in
the existing research. Among several research gaps, we found that research is
less prevalent on data, storage, and energy as a resource, and less extensive
towards the estimation, discovery and sharing objectives. As for resource
types, the most well-studied resources are computation and communication
resources. Our analysis shows that resource management at the edge requires a
deeper understanding of how methods applied at different levels and geared
towards different resource types interact. Specifically, the impact of mobility
and collaboration schemes requiring incentives are expected to be different in
edge architectures compared to the classic cloud solutions. Finally, we find
that fewer works are dedicated to the study of non-functional properties or to
quantifying the footprint of resource management techniques, including
edge-specific means of migrating data and services.Comment: Accepted in the Special Issue Mobile Edge Computing of the Wireless
Communications and Mobile Computing journa
LO-MATCH: A semantic platform for matching migrants' competences with labour market's needs
Citizens' mobility and employability are receiving ever more attention by the European legislation. Various instruments have been defined to overcome lexical and semantic differences in the descriptions of qualifications, résumés and job profiles. However, the above differences still represent a significant constraint when abilities of non-European people have to be validated either for education and training or occupation purposes. In this work, a web platform that exploits semantic technologies to address such heterogeneity issues is presented. The platform allows migrants to annotate their knowledge, skills and competences in a shared format based on the European tools. The resulting knowledge base is then used to enable the automatic matchmaking of job seekers' abilities with companies' needs. The platform can additionally be used to support students and workers in the identification of their competence gap with respect to a given education or occupation opportunity, so that to personalize their further trainin
Fog Computing: A Taxonomy, Survey and Future Directions
In recent years, the number of Internet of Things (IoT) devices/sensors has
increased to a great extent. To support the computational demand of real-time
latency-sensitive applications of largely geo-distributed IoT devices/sensors,
a new computing paradigm named "Fog computing" has been introduced. Generally,
Fog computing resides closer to the IoT devices/sensors and extends the
Cloud-based computing, storage and networking facilities. In this chapter, we
comprehensively analyse the challenges in Fogs acting as an intermediate layer
between IoT devices/ sensors and Cloud datacentres and review the current
developments in this field. We present a taxonomy of Fog computing according to
the identified challenges and its key features.We also map the existing works
to the taxonomy in order to identify current research gaps in the area of Fog
computing. Moreover, based on the observations, we propose future directions
for research
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