Effective Shedding and Efficient Processing of Massive Sensor Update Loads

Emerging application areas of computing technologies exist that involve the monitoring of continuous variables. One such area concerns transportation. Such monitoring yields massive update loads that existing systems are unable to contend with. The Sensload project proposes a two-pronged approach to enabling the support of such application areas. It explores techniques for selective shedding of updates and it will develop data structures and algorithms that increase the numbers of updates per time unit that database systems are able to accommodate.