Tool Comparison Sample Clauses

Tool Comparison. ‌ Table 3.1 summarizes the tools for bandwidth estimation, highlighting the techniques and metric used to infer it. Summarizing, the performance of an available measurement tool depends on several metrics and conditions. Often the accuracy, intrusiveness and run-time have to be traded off to match the application needs. The choice of a tool should be done carefully and different tools could be used to cross-check the results. It is still unclear how different tools perform in presence of overloaded hosts and routers. Also, most tools have been compared on backbone links their performance has not been compared in scenarios where the bottleneck is at the access of the network. Evaluating the performance and accuracy of the existing available bandwidth tools is a difficult task. Most tools have several tunable parameters which impact the mea- surement time, the precision and the intrusiveness of the estimate. Additionally, since the techniques used are often very different, the tools have intrinsically different prop- erties. Several studies have made the effort of comparing the available bandwidth tools, but sometimes the results are contradictory. PathChirp’s authors in [52] compared its performance with pathload. The goal was to compare their efficiency in terms of number of bytes used to obtain available bandwidth estimates of equal accuracy. To measure the efficiency of the tools, in each experiment the average number of bytes over 25 runs that each tool takes to provide es- timates accurate to 10Mbps was computed. Pathload’s bandwidth resolution parameter was set to 10Mbps and then the average number of bytes used to make 25 estimates was taken. The same to pathChirp, that use its default values. Their results are that pathChirp needs less than 10% of the bytes that pathload uses. They say that Pathload employs long constant bit-rate (CBR) packet trains and adaptively varies the rates of successive packet trains in an effort to converge to the available bandwidth rate. Be- cause of its adaptive search, pathload can have long convergence times (on the order of 100s of RTTs) and use several MB of probe traffic per estimate. In [63], authors introduced Spruce, and compared its performance with IGI and Pathload. From their experiments, they conclude that: • Spruce is simple, and generates a relatively low amount of probe traffic, estimat- ing available bandwidth more accurately than Pathload and IGI. • Almost 70% of Spruce’s measurements had a relative erro...
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