It takes the average reader 1 hour and 51 minutes to read Scalable Traffic Management for Data Centers and Logging Devices by Vinh The Lam
Assuming a reading speed of 250 words per minute. Learn more
Traditional network resource allocation is not scalable because it requires per-flow state, large amount of memory in switches and routers, and control overhead. In this dissertation, we propose innovative and scalable mechanisms for network traffic management in three emerging contexts: network event loggers, network load balancing, and cloud services in data centers. First, we describe a probabilistic event logger called Carousel to collect unique items in a large stream of online events. By theoretical analysis, we prove that Carousel can collect almost all items with high probability. Our...
Scalable Traffic Management for Data Centers and Logging Devices by Vinh The Lam is 108 pages long, and a total of 27,864 words.
This makes it 36% the length of the average book. It also has 34% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 32 minutes to read Scalable Traffic Management for Data Centers and Logging Devices aloud.
Scalable Traffic Management for Data Centers and Logging Devices is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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