Mobile proxy system and method for constraining network chromatography image

Abstract

The system comprises: mobile agent group used for executing end-to-end measurement task, collecting the delay information about detecting packet and the packet-lost information about the detecting packet between different nodes, and sending the collected information to the agent control center, in procedure of network tomography end-to-end measurement; and agent control center used for generating and initializing the mobile agent, assigning task to the mobile agent, managing the execution of mobile agent, and according to the message from the mobile agent group, getting the restraint condition of the network tomography.

Description

technical field [0001] The invention relates to the communication field, in particular to a mobile agent system and a constrained network tomography method. Background technique [0002] CT (tomography) technology, also known as computer tomography (tomography) imaging technology, is a new technology that was first successfully applied in medical engineering in the early 1970s and developed vigorously. At present, CT technology has a complete set of theories and methods in medical engineering, which are widely used in medical clinical diagnosis and pathological research. This perfect theory and method has also been applied to non-medical fields such as radio astronomy, radar detection, electron microscope graphics, non-destructive flaw detection, seismology, and geological exploration. [0003] With the rapid development of the Internet, the network has developed from simple data transmission to supporting the transmission of multiple types of information at the same time, ...

AI Technical Summary

Problems solved by technology

[0005] 1. It is impossible for ordinary users to obtain

[0006] 2. It may not cover the path you are interested in

[0007] 3. In the case of high network load, it is impossible to measure

[0008] 4. There are problems with measurement and measurement data collection on large-scale networks

[0009] 5. It is a very difficult task to form an end-to-end path data information from the data measured at each measurement point

[0011] 1. Due to the low priority of ICMP packets processed in the router, the measured delay cannot represent the delay of normal traffic

[0012] 2. Some tools require some special assumptions, such as routing nodes cannot have firewalls, and relatively symmetrical forward / reverse links require store and forward routers

[0013] 3. ICMP packets cannot be tolerated by network administrators, and are often filtered out by ICMP packet filters, so that they cannot respond

[0044] 3. It is easy to fall into the boundary maximum

[0067] 1. On the whole, most of the existing network tomography methods assume that the network state parameters are time-invariant and stable within a certain time range (that is, the range of change is very small and can be ignored), because the actual network state is constantly changing (that is, the network state parameters are time-varying and non-stationary)

[0068] 2. From the perspective of measurement, there are errors. Due to the complexity and non-stationarity of the network environment, the errors measured on the two destination nodes cannot be the same

Therefore, although unconstrained network tomography can better estimate the parameters, it cannot fundamentally solve the above multi-solution problem, resulting in unstable performance of the estimator and low accuracy of the solution.

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