Cisco Systems
By L. Ginsberg. 2003
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ren Yang
- Mai Xu
- Paulo Valente Klaine
- Zulin Wang
- Giuseppe Ateniese
- Tianyi Li
- Francis Y. Yan
- Richard Demo Souza
Citations in the corpus
- Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers (2013, methodology): “NetFlow is a Cisco TM protocol used by network administrators for gathering traffic statistics [53].”
- The Akamai network: a platform for high-performance internet applications (2010, background): “From near non-existence less than a decade ago, video now constitutes more than a third of all Internet traffic, and Cisco [14] predicts that by 2014, the percentage will increase to over 90%.”
- Usage impact on data center electricity needs: A system dynamic forecasting model (2021, methodology): “However, we can derive the sample variance and standard deviation for the model ’ s CAGR values by comparing Cisco Systems behavioral forecasts over several years [34,34 – 37].”
- Distributed Drone Base Station Positioning for Emergency Cellular Networks Using Reinforcement Learning (2018, background): “In order for operators to access the original backhaul of the network, a fully equipped truck with a macro BS powered either by fuel or solar energy is considered, such as in [29].”
- Learning in situ: a randomized experiment in video streaming (2019, background): “Video streaming is the predominant Internet application, making up almost three quarters of all traffic [41].”
- A comparison of approaches to large-scale data analysis (2009, unknown): “We then execute the task on different cluster sizes to show how each system scales as both the amount of data processed and available resources are increased.”
- Multi-frame Quality Enhancement for Compressed Video (2018, methodology): “According to the Cisco Data Traf-fic Forecast [7], video generates 60% of Internet traffic in 2016, and this figure is predicted to reach 78% by 2020.”