Web and Wireless Computing Lab

Directed by Sanjay Madria

Under the direction of Dr. Sanjay Madria, Curators’ Professor in Computer Science, the Web and Wireless Computing Lab at Missouri S&T has a floor area of approximately 60 m² and includes more than 35 servers, dedicated desktops, and several mobile devices such as cell phones and tablets. The lab servers are equipped with several machine learning tools like TensorFlow, Colab and Keras.

The Lab provides an in-house cloud, big data and Hyperledger block-chain infrastructure environment, including a private hybrid cloud using an Eucalyptus open source platform. The cloud is highly compatible with Amazon Web Services, which allows a hassle free migration of workloads between them. It is also compatible with the Missouri S&T’s cloud computing environment, designed by Dr. Madria, for the campus-wide use loaded with Big data tools from Cloudera. Currently, the Lab houses 15 powerful machines, each having 4 cores, 500 Gb of HDD and 8 Gb of RAM per core, connected on a private network that supports over a Gig per second of data transfer. 

The Lab also has an in-house, secure sensor cloud test-bed for efficient secure data collection, scheduling and allocation for multiple applications. The secure sensor cloud uses different types of sensors and mobile nodes, including several IRIS motes with IRIS gateways, TelosB, Mica2, and Missouri S&T motes. Heterogeneity in these sensor motes come from the bus width and radio frequency. While Mica2, IRIS and Missouri S&T motes have 8 bit processors, TelosB has a 16 bit processor. On the other hand, Mica2 works at a frequency of 868/916 MHz, the Missouri S&T mote operates at 900 MHz, and both TelosB and IRIS motes work in the 2400-2483 MHz range.

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