205,386 research outputs found
A framework and tool to manage Cloud Computing service quality
Cloud Computing has generated considerable interest in both companies specialized
in Information and Communication Technology and business context in general.
The Sourcing Capability Maturity Model for service (e-SCM) is a capability model for
offshore outsourcing services between clients and providers that offers appropriate strategies
to enhance Cloud Computing implementation. It intends to achieve the required
quality of service and develop an effective working relationship between clients and
providers. Moreover, quality evaluation framework is a framework to control the quality of
any product and/or process. It offers a tool support that can generate software artifacts to
manage any type of product and service efficiently and effectively. Thus, the aim of this
paper was to make this framework and tool support available to manage Cloud Computing
service quality between clients and providers by means of e-SCM.Ministerio de Ciencia e InnovaciĂłn TIN2013-46928-C3-3-RJunta de AndalucĂa TIC-578
An Intelligent QoS Identification for Untrustworthy Web Services Via Two-phase Neural Networks
QoS identification for untrustworthy Web services is critical in QoS
management in the service computing since the performance of untrustworthy Web
services may result in QoS downgrade. The key issue is to intelligently learn
the characteristics of trustworthy Web services from different QoS levels, then
to identify the untrustworthy ones according to the characteristics of QoS
metrics. As one of the intelligent identification approaches, deep neural
network has emerged as a powerful technique in recent years. In this paper, we
propose a novel two-phase neural network model to identify the untrustworthy
Web services. In the first phase, Web services are collected from the published
QoS dataset. Then, we design a feedforward neural network model to build the
classifier for Web services with different QoS levels. In the second phase, we
employ a probabilistic neural network (PNN) model to identify the untrustworthy
Web services from each classification. The experimental results show the
proposed approach has 90.5% identification ratio far higher than other
competing approaches.Comment: 8 pages, 5 figure
Application of context knowledge in supporting conceptual design decision making
Conceptual design is the most important phase of the product life cycle as the decisions taken at conceptual design stage affect the downstream phases (manufacture, assembly, use, maintenance, and disposal) in terms of cost, quality and function performed by the product. This research takes a holistic view by incorporating the knowledge related to the whole context (from the viewpoint of product, user, product's life cycle and environment in which the product operates) of a design problem for the consideration of the designer to make an informed decision making at the conceptual design stage. The design context knowledge comprising knowledge from these different viewpoints is formalised and a new model and corresponding computational framework is proposed to support conceptual design decision making using this formalised context knowledge. Using a case study, this paper shows the proof of the concept by selecting one concept among different design alternatives using design context knowledge thereby proactively supporting conceptual design decision making for an informed and effective decision making
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