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The VLDB journal
The major problem is scaling down database techniques so they perform well under these limitations. ... As smartcards get more powerful (with 32-bit CPU and more than 1 MB of stable memory in the next versions) and become multi-application, the need for database management arises. ... With the extreme constraints of the smartcard, the major problem is scaling down database techniques. ...doi:10.1007/s007780100047 fatcat:t77vtumh7fhkbj7t73ubqmd3h4
Proceedings 2003 VLDB Conference
We illustrate the effectiveness of our techniques through a performance evaluation. ... Third, it analyses how the preceding techniques can benefit from an incremental growth of RAM. ... Other studies have been conducted to scale down database techniques in the particular context of smartcards [ISO99, PBV01] . ...doi:10.1016/b978-012722442-8/50067-7 dblp:conf/vldb/AnciauxBP03 fatcat:gsl5aj5goffy5j366sk44wdu5u
Our solution is to use a benchmark for secure chip DBMS in order to 1) compare different database techniques, 2) predict the limits of on-chip applications, and 3) provide codesign hints. ... This work benefits from our long experience in developing and tuning data management techniques for the smart card. ... In the smart-card context, we addressed the problem of scaling down database techniques and proposed the design of a DBMS kernel called PicoDBMS  . ...doi:10.1109/tkde.2008.67 fatcat:n4bgg5ozqbfgvmxvaasd4zwqsq
Traditional database management soluti ons fall short in satisfying the sophisticated application needs of an IoT network that has a truly global-scale. ... In this paper, we survey the data management solutions that are proposed for IoT or subsystems of the IoT. ... The statements made herein are solely the responsibility of the authors. Conflicts of Interest The author declares no conflict of interest. Sensors 2013, 13 ...doi:10.3390/s131115582 pmid:24240599 pmcid:PMC3871070 fatcat:t7sxd2qdvnfsbhk5g5jg4yr64i