Container Database Management Zheng Liu, Sheng Liu CSE 534:Advanced computer networks.

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Presentation transcript:

Container Database Management Zheng Liu, Sheng Liu CSE 534:Advanced computer networks

Project Goals Design and construct of a system that reduce the redundant data in container sensor network database. Design an algorithm that reduce the packets transmission of redundant data from motes

Motivation Usually international shipping takes about 50 days. That is 50*24*3,600=4,320,000 seconds. S

Motivation Assume that each mote sends a packet every 10 seconds. That is 432,000 packets in total. Based on the actual data, the size of 200,000 packets is about 19MB. So the size of the data generated by one mote in 50 days is approximately 41MB

Motivation According to our research, one ship carry up to containers. Each container carries about 50 motes (in real world it might be more) So the size of the database generated in the shipping procedure might be more than 30TB!

Big Mount Of Redundant data Problems 1 Waste of Storage Space 3 Waste of energy to transmit Unnecessary data 2 Difficult to analysis data

Strategy Assume that current temperature is V tm, current humidity is V hu, current light lumen is V li. The changing rates are C tm, C hu, C li So, the data set that meets the algorithm (|V tm C tm |>A) || (|V hu C hu |>B) || (|V li C li |)>C will be “survive”, others will be replaced by one set. Compare the event detection rate of the database before and after the reduction take place

Event simulations Event 1 Temperature and light change (simulation of fire, sunlight) Event 2 Only humidity changes Event 3 Temperature and humidity change (rain, door opened, animals invasion)

Results After process with database, we achieve 87% of the data space efficiency. Original file is 18,768KB, database size become 2,439KB after the reduction. Events detected remain the same after the process.

Future works Experiment base on actual events Base on the actual data, modify the programs on motes to reduce redundant transmission of unnecessary data to achieve energy efficiency.

Thank you.