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Sökning: onr:"swepub:oai:DiVA.org:mdh-231" > Event Pattern Detec...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003587nam a2200409 4500
001oai:DiVA.org:mdh-231
003SwePub
008070509s2007 | |||||||||||000 ||eng|
020 a 9789185485482q print
024a https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-2312 URI
040 a (SwePub)mdh
041 a engb eng
042 9 SwePub
072 7a vet2 swepub-contenttype
072 7a dok2 swepub-publicationtype
100a Carlson, Jan,d 1976-u Mälardalens högskola,Institutionen för datavetenskap och elektronik4 aut0 (Swepub:mdh)jcn01
2451 0a Event Pattern Detection for Embedded Systems
264 1b Institutionen för datavetenskap och elektronik,c 2007
338 a electronic2 rdacarrier
490a Mälardalen University Press Dissertations,x 1651-4238 ;v 44
520 a Events play an important role in many computer systems, from small reactive embedded applications to large distributed systems. Many applications react to events generated by a graphical user interface or by external sensors that monitor the system environment, and other systems use events for communication and synchronisation between independent subsystems. In some applications, however, individual event occurrences are not the main point of concern. Instead, the system should respond to certain event patterns, such as "the start button being pushed, followed by a temperature alarm within two seconds". One way to specify such event patterns is by means of an event algebra with operators for combining the simple events of a system into specifications of complex patterns.This thesis presents an event algebra with two important characteristics. First, it complies with a number of algebraic laws, which shows that the algebra operators behave as expected. Second, any pattern represented by an expression in this algebra can be efficiently detected with bounded resources in terms of memory and time, which is particularly important when event pattern detection is used in embedded systems, where resource efficiency and predictability are crucial.In addition to the formal algebra semantics and an efficient detection algorithm, the thesis describes how event pattern detection can be used in real-time systems without support from the underlying operating system, and presents schedulability theory for such systems. It also describes how the event algebra can be combined with a component model for embedded system, to support high level design of systems that react to event patterns.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653 a event pattern detection
653 a event algebra
653 a event monitoring
653 a composite events
653 a embedded systems
653 a Computer science
653 a Datavetenskap
653 a Datavetenskap
700a Lisper, Björn,c Professoru Mälardalens högskola,Institutionen för datavetenskap och elektronik4 ths
700a Norström, Christer,c Professoru Mälardalens högskola,Institutionen för datavetenskap och elektronik4 ths
700a Larsen, Kim,c Professoru Institut for Datalogi, Aalborg Universitet4 opn
710a Mälardalens högskolab Institutionen för datavetenskap och elektronik4 org
856u https://mdh.diva-portal.org/smash/get/diva2:120685/FULLTEXT01.pdfx primaryx Raw objecty fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-231

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