TY - GEN
T1 - Autonomic management of heterogeneous sensing devices with ECA rules
AU - Gürgen, Levent
AU - Cherbal, Amin
AU - Sharrok, Remi
AU - Honiden, Shinichi
N1 - Funding Information:
37°C in 5% CO2 humidified atmosphere. IL2 was harvested from the culture supernants while the cell pellets were used to isolate RNAs. mRNAs were isolated from activated spleen cells and reverse transcripted. The first strand cDNA was applied to PCR and the amplified 700-800 bp DNAs (2 bands) were directly cloned into the expression vector. Preliminary screening with SDS-PAGE yielded a positive result. The poliferative response of IL2-dependent T cell line, assessed by 3H-TdR incorporation, was used as an assay system for IL2 activity. *Supported by National Natural Science Foundation of China
PY - 2011
Y1 - 2011
N2 - Facing to the great number of wireless sensor/actuator devices, smart applications have an increasingly important requirement: autonomy. Besides autonomy in terms of energy, these devices have also to be functionally autonomous: they have to be self-discovered, self-(re-)configured and selfhealed. This paper presents a self-manageable autonomic platform for heterogeneous sensing systems. Based on a service oriented architecture and an Event-Condition-Action model, management services collect information from managed elements (e.g., sensors, proxies, gateways) and perform management actions according to user defined ECA rules. We define a generic event model that allows us covering a large set of events. Events are captured and processed by rule evaluators which then perform corresponding management actions on the sensors. We show with experimental results that the mechanism brings little overhead in terms of energy consumption and execution time.
AB - Facing to the great number of wireless sensor/actuator devices, smart applications have an increasingly important requirement: autonomy. Besides autonomy in terms of energy, these devices have also to be functionally autonomous: they have to be self-discovered, self-(re-)configured and selfhealed. This paper presents a self-manageable autonomic platform for heterogeneous sensing systems. Based on a service oriented architecture and an Event-Condition-Action model, management services collect information from managed elements (e.g., sensors, proxies, gateways) and perform management actions according to user defined ECA rules. We define a generic event model that allows us covering a large set of events. Events are captured and processed by rule evaluators which then perform corresponding management actions on the sensors. We show with experimental results that the mechanism brings little overhead in terms of energy consumption and execution time.
KW - ECA rules
KW - autonomic management
KW - heterogeneity
KW - middleware
KW - sensing devices
KW - sensors
KW - service-oriented
UR - http://www.scopus.com/inward/record.url?scp=80051968862&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051968862&partnerID=8YFLogxK
U2 - 10.1109/iccw.2011.5963605
DO - 10.1109/iccw.2011.5963605
M3 - Conference contribution
AN - SCOPUS:80051968862
SN - 9781612849553
T3 - IEEE International Conference on Communications
BT - 2011 IEEE International Conference on Communications Workshops, ICC 2011 Workshops
T2 - 2011 IEEE International Conference on Communications Workshops, ICC 2011 Workshops
Y2 - 5 June 2011 through 9 June 2011
ER -
