Network Bandwidth Utilization Prediction Based on Observed SNMP Data

Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data

With scientific data growing to unprecedented volumes and the needs to share such massive amounts of data by increasing numbers of geographically distributed collaborators, the best possible network performance is required for efficient data access. Estimating the network traffic performance for a given time window with a probabilistic tolerance enables better data routing and transfers that is...

Secure SNMP-Based Network Management in Low Bandwidth Networks

Network Bandwidth Utilization Forecast Model on High Bandwidth Network

With the increasing number of geographically dis­ tributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency o...

Simulating the Impact of Mobility on Network Bandwidth Utilization

Pervasive computing environments accommodate interconnected and communicating mobile devices. Mobility is a vital aspect of everyday life and technology must offer support for moving users, objects, and devices. Their growing number has strong implications on the bandwidth of wireless and wired networks. Network bandwidth becomes a scare resource and its efficient use is crucial for the quality...

SINMS: A Slow Intelligence Network Manager based on SNMP Protocol

Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spread, however, resulted in increased difficulty in configuring and managing networks. In particular the tasks of configuration management for IP network devices are becoming more and more difficult and the Simple Network ...