In the paper A QoS-AWARE System for Mobile Cloud Computing published by Peng Zhang and Zheng Yan, authors put forward a QoS framework for Mobile Cloud Computing and an adaptive QoS management process to manage QoS assurance in Mobile Cloud Computing environment, thus their QoS management model is based on Fuzzy Cognitive Map (FCM).
QoS refers to a set of properties including objective ones such as transmission rate, delay variance, packet loss, cost and reputation, and also subjective ones like user experience, trust, privacy concern and satisfaction degree.
Mobile Cloud Computing are often affected by many specific factors like hardware and software limitations of mobile devices, signal strength of mobile networks, mobility of mobile users and so on.
The research work on Cloud Computing falls in various aspects such as Cloud Computing architecture, middle-ware design, cloud services, cloud security and resource management.
In a mobile device, a QoS agent monitors QoS status at run time, for example, percentage of memory and CPU consumption, connection speed, remaining battery percentage and packet loss rate, etc.
The QoS management center aggregates and analyzes the huge set of QoS data, and dynamically adjusts resources to meet QoS requirements of each mobile cloud service.
The QoS management supports context awareness by adaptively selecting a proper set of service modes that can always ensure the quality of cloud services.
FCM specifies the interconnections and influences between nodes. It also permits updating the construction of the graph, such as adding or deleting an interconnection or a node. Thus we can utilize it to predict the performance of cloud service modes in order to select the best one.
The adaptive QoS management system for Mobile Cloud Computing facilities QoS prediction, establishment, assessment and assurance.
Two directions to go ahead:
1. generating a good model with suitable configurations.
2. implementing the solution
No comments:
Post a Comment