TY - GEN
T1 - Optimal scheduling with resources for application execution in 3G networks
AU - Englert, Roman
PY - 2008/11/27
Y1 - 2008/11/27
N2 - Today the number of data applications for cellular phones increases rapidly. Most of these data applications require a connection to the Service Delivery Platform (SDP) in the cellular network. As a consequence the booting of the cellular phone and the starting of mobile applications take several minutes. In this paper an approach is presented to optimise the start time of mobile applications. The idea is to partition the call set-up of mobile applications into modules and to apply them to scheduling. Main challenges are to take into account the required temporal and operational resources, and to generate the schedule in real-time. The applied scheduler is based on the Simplex method from Discrete Mathematics and delivers en passant the proof for the optimality. Experiments demonstrate the approach and the results are compared with former experiments based on a temporal planner from the field of Artificial Intelligence (AI).
AB - Today the number of data applications for cellular phones increases rapidly. Most of these data applications require a connection to the Service Delivery Platform (SDP) in the cellular network. As a consequence the booting of the cellular phone and the starting of mobile applications take several minutes. In this paper an approach is presented to optimise the start time of mobile applications. The idea is to partition the call set-up of mobile applications into modules and to apply them to scheduling. Main challenges are to take into account the required temporal and operational resources, and to generate the schedule in real-time. The applied scheduler is based on the Simplex method from Discrete Mathematics and delivers en passant the proof for the optimality. Experiments demonstrate the approach and the results are compared with former experiments based on a temporal planner from the field of Artificial Intelligence (AI).
UR - https://www.scopus.com/pages/publications/56549128244
U2 - 10.1007/978-3-540-85845-4_25
DO - 10.1007/978-3-540-85845-4_25
M3 - Conference contribution
AN - SCOPUS:56549128244
SN - 354085844X
SN - 9783540858447
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 201
EP - 208
BT - KI 2008
T2 - 31st Annual German Conference on Artificial Intelligence, KI 2008
Y2 - 23 September 2008 through 26 September 2008
ER -