TY - GEN
T1 - Cost-efficient deployment of collaborating components
AU - Csorba, Máté J.
AU - Heegaard, Poul E.
AU - Herrmann, Peter
PY - 2008
Y1 - 2008
N2 - We study the problem of efficient deployment of software components in a service engineering context. Run-time manipulation, adaptation and composition of entities forming a distributed service is a multi-faceted problem challenged by a number of requirements. The methodology applied and presented can be viewed as an intersection between systems development and novel network management solutions. Application of heuristics, in particular artificial intelligence in the service development cycle allows for optimization and should eventually grant the same benefits as those existing in distributed management architectures such as increased dependability, better resource utilization, etc. The aim is finding the optimal deployment mapping of components to physically available resources, while satisfying all the non-functional requirements of the system design. Accordingly, a new component deployment approach is introduced utilizing distributed stochastic optimization.
AB - We study the problem of efficient deployment of software components in a service engineering context. Run-time manipulation, adaptation and composition of entities forming a distributed service is a multi-faceted problem challenged by a number of requirements. The methodology applied and presented can be viewed as an intersection between systems development and novel network management solutions. Application of heuristics, in particular artificial intelligence in the service development cycle allows for optimization and should eventually grant the same benefits as those existing in distributed management architectures such as increased dependability, better resource utilization, etc. The aim is finding the optimal deployment mapping of components to physically available resources, while satisfying all the non-functional requirements of the system design. Accordingly, a new component deployment approach is introduced utilizing distributed stochastic optimization.
UR - http://www.scopus.com/inward/record.url?scp=45749123145&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-68642-2_20
DO - 10.1007/978-3-540-68642-2_20
M3 - Conference contribution
AN - SCOPUS:45749123145
SN - 3540686398
SN - 9783540686392
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 253
EP - 268
BT - Distributed Applications and Interoperable Systems - 8th IFIP WG 6.1 International Conference, DAIS 2008, Proceedings
T2 - 8th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, DAIS 2008
Y2 - 4 June 2008 through 6 June 2008
ER -