New machine learning program handles network congestion more efficiently




Developers at MIT have developed a computer program that automatically generates algorithms for TCP congestion in networks to counter. In simulations, was able to determine the throughput of a network with respect to different TCP versions doubled.

TCP is optimized for accurate delivery of files and preventing network congestion is an important part of the protocol. In the past, many improvements and changes to the TCP congestion avoidance algorithm, which has led to variations such as TCP Cubic processed by default in Linux kernels and Compound TCP is Microsoft. Developers at MIT have now a software program called Remy developed with automatically generated algorithms congestion handles much better than the algorithms manmade.

For the operation of Remy properties give users of the network, such as data relating to the bandwidth, users, and use of the network. They can also indicate the degree of priority in terms of throughput and delay. Remy then test a range of algorithms for different scenarios and examine further variations that give the best results. For fast operation Remy spends little time on predictable outcomes and focuses on the software analysis of cases where small variations of network conditions cause large differences in performance.

In place of the handful of lines that the current TCP variants offer in response to potential network events retardant, can produce more than 150 Remy. “TCP has traditionally relatively simple endpoint rules but complex behavior if you actually apply,” says Keith Winstein of the development team, “With Remy is just the opposite, we think this is better because computers can handle complexity well:. you want it behavior remains simple. ”

In simulations of a fast wired network managed by two-thirds to bring back the delay Remy and roughly double from Compound TCP and TCP Cubic. Throughput The researchers also simulated a complex network such as Verizon’s mobile network, since the improvement of the reduction of delay 25 to 40 percent, while the throughput was was 20 to 30 percent higher.


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