HB-MAP (HB-mutual authentication protocol) is a mutual ultra-light-weight authentication protocol we have proposed before. In this paper, we present an HB-MAP simulation model. This model is based on the OPNET modeler and includes three parts, namely, the network model, the node model, and the process model. The simulation results are obtained mainly in the aspects of running time, queuing delay, throughput, and channel utilization. To show the performance of HB-MAP, simulation of two other protocols HB and LCAP (load-based concurrent access protocol) is also executed, and comparative analysis is carried out on the results. At the end of the paper, we show a simple process of the attacks and identify that the HB-MAP can defend against some attacks.
In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud environment must be prepared to deal gracefully with huge data collections without compromising system performance.In this paper,we show that by using a concept of urgent data,our system can shorten the response time for most 'urgent' queries while guarantee lower bandwidth consumption.We argue that monitoring data can be treated differently.Some data capture critical system events;the arrival of these data will significantly influence the monitoring reaction speed which is called urgent data.High speed urgent data collections can help system to react in real time when facing fatal errors.A cloud environment in production,MagicCube,is used as a test bed.Extensive experiments over both real world and synthetic traces show that when using urgent data,monitoring system can lower the response latency compared with existing monitoring approaches.
