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SIGKDD
2008
149views more  SIGKDD 2008»
13 years 7 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
SIGMOD
2007
ACM
197views Database» more  SIGMOD 2007»
14 years 8 months ago
Automated and on-demand provisioning of virtual machines for database applications
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, Da...

Publication
397views
14 years 9 months ago
Build it but where? A GIS methodology for guiding the planning of new cycling facilities
Concern over climate change, traffic congestion, and the health consequences of sedentary lifestyles has resulted in a surge of interest in cycling as an efficient form of urban ...
Larsen, J. & El-Geneidy, M.
CF
2006
ACM
13 years 11 months ago
Performance characteristics of an adaptive mesh refinement calculation on scalar and vector platforms
Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise intractable problems in computational science. The AMR strategy solv...
Michael L. Welcome, Charles A. Rendleman, Leonid O...
SIGCSE
2009
ACM
193views Education» more  SIGCSE 2009»
14 years 8 months ago
Seattle: a platform for educational cloud computing
Cloud computing is rapidly increasing in popularity. Companies such as RedHat, Microsoft, Amazon, Google, and IBM are increasingly funding cloud computing infrastructure and resea...
Justin Cappos, Ivan Beschastnikh, Arvind Krishnamu...