In ubiquitous stub environment, it is a critical challenge to design an optimal device aggregation mechanism to meet all requested ubiquitous services simultaneously with resource- limited devices and bandwidth-limite...In ubiquitous stub environment, it is a critical challenge to design an optimal device aggregation mechanism to meet all requested ubiquitous services simultaneously with resource- limited devices and bandwidth-limited network. Firstly, Multi-Service oriented Devices Aggregation Problem is generalized and formulated based on QoS-metric with Multi-attribute Decision Making. Secondly, a Multi-Service oriented Devices Aggregation Mechanism is proposed to deal the problem in which there are two processes： Dimensionless Processing and Device Aggregation Approach. At last, the simulation is implemented with OPNET and MATLAB. We integrate different QoS factors, such as Average Utility, Utility distribution, Total Utility distribution and Service Failure Rate, to reflect user experience.展开更多
文摘In ubiquitous stub environment, it is a critical challenge to design an optimal device aggregation mechanism to meet all requested ubiquitous services simultaneously with resource- limited devices and bandwidth-limited network. Firstly, Multi-Service oriented Devices Aggregation Problem is generalized and formulated based on QoS-metric with Multi-attribute Decision Making. Secondly, a Multi-Service oriented Devices Aggregation Mechanism is proposed to deal the problem in which there are two processes： Dimensionless Processing and Device Aggregation Approach. At last, the simulation is implemented with OPNET and MATLAB. We integrate different QoS factors, such as Average Utility, Utility distribution, Total Utility distribution and Service Failure Rate, to reflect user experience.
