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Traditional methods simply attempt to maximize user satisfaction by provisioning the composite service instance with the best QoS.
The continuously growing number of applications competing for resources in current communication networks highlights the necessity for efficient resource allocation mechanisms to maximize user satisfaction.
A set of experiments shows that the Promethee scheduler is able to maximize user satisfaction expressed accordingly to three distinct criteria: price, expected completion time and trust, while maximizing the infrastructure useful employment from the resources owner point of view.
When users' request, device capabilities and user preferences is sent to Usage Environment Description (UED), adaptation decision engine determines decision point according to AQoS in order to maximize user satisfaction and adapt it to the constrained environment, such as network condition.
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Thus, beyond channel quality conditions and fairness, another important issue that should be considered to maximize users' satisfaction is the one raised by the wide range of QoS requirements of heterogeneous applications supported by emerging OFDMA-based wireless networks.
With the objective of maximizing user satisfaction and broker's revenues, the algorithm pursues profit increases by reducing energy costs through the adoption of energy-saving mechanisms.
An optimization problem of trying to maximize end-user satisfaction (utility or efficacy) while minimizing cost is termed "quality of service" (QOS).
To maximize the users' satisfaction of P2P streaming in WMNs, this paper focuses on link rate allocation problem and proposes a fully distributed algorithm to efficiently utilize the upload and download bandwidth of wireless mesh nodes.
Dressassistant.com (which costs $19.95 to download) and Closetbank.com aim to help maximize users' wardrobes.
Any learning algorithm for recommendation faces a fundamental trade-off between exploiting partial knowledge of a user's interests to maximize satisfaction in the short term and discovering additional user interests to maximize satisfaction in the long term.
To create shareholder value, as I will show, you should instead aim to maximize customer satisfaction.
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CEO of Professional Science Editing for Scientists @ prosciediting.com