Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Traffic engineering and traffic matrix estimation are often treated as separate fields, even though one of the major applications for a traffic matrix is traffic engineering. In cases where a traffic matrix cannot be measured directly, it may still be estimated from indirect data (such as link measurements), but these estimates contain errors. Yet little thought has been given to the effects of inexact traffic estimates on traffic engineering.   consider how ll traffic engineering works with estimated traffic matrices in the context of a specific task; namely that of optimizing network routing to minimize congestion, measured by maximum link-utilization. Our basic question is:  how ll is the real traffic routed if the routing is only optimized for an estimated traffic matrix?   compare against optimal routing of the real traffic using data derived from an operational tier-1 ISP.  find that the magnitude of errors in the traffic matrix estimate is not, in itself, a good indicator of the performance of that estimate in route optimization. Likewise, the optimal algorithm for traffic engineering given knowledge of the real traffic matrix is no longer the best with only the estimated traffic matrix as input. Our main practical finding is that the combination of a known traffic matrix estimation technique and a known traffic engineering technique can get close to the optimum in avoiding congestion for the real traffic.  even demonstrate stability in the sense that routing optimized on data from one day continued to perform ll on subsequent days. This stability is crucial for the practical relevance to off-line traffic engineering, as it can be performed by ISPs today.
['Matthew Roughan', 'Mikkel Thorup', 'Yin Zhang']
I am writing a research paper on a idea Traffic engineering with estimated traffic matrices
[{"from": "human", "value": "I am writing a research paper on a idea Traffic engineering with estimated traffic matrices"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Traffic engineering and traffic matrix estimation are often treated as separate fields, even though one of the major applications for a traffic matrix is traffic engineering. In cases where a traffic matrix cannot be measured directly, it may still be estimated from indirect data (such as link measurements), but these estimates contain errors. Yet little thought has been given to the effects of inexact traffic estimates on traffic engineering.   consider how ll traffic engineering works with estimated traffic matrices in the context of a specific task; namely that of optimizing network routing to minimize congestion, measured by maximum link-utilization. Our basic question is:  how ll is the real traffic routed if the routing is only optimized for an estimated traffic matrix?   compare against optimal routing of the real traffic using data derived from an operational tier-1 ISP.  find that the magnitude of errors in the traffic matrix estimate is not, in itself, a good indicator of the performance of that estimate in route optimization. Likewise, the optimal algorithm for traffic engineering given knowledge of the real traffic matrix is no longer the best with only the estimated traffic matrix as input. Our main practical finding is that the combination of a known traffic matrix estimation technique and a known traffic engineering technique can get close to the optimum in avoiding congestion for the real traffic.  even demonstrate stability in the sense that routing optimized on data from one day continued to perform ll on subsequent days. This stability is crucial for the practical relevance to off-line traffic engineering, as it can be performed by ISPs today."}]