TY  - RPRT
A1  - Ivanovic, Dragan
A1  - Carro Liñares, Manuel
A1  - Hermenegildo, Manuel V.
A1  - López García, Pedro
A1  - Mera, E.
KW  - Service orchestrations
KW  -  Resource analysis
KW  -  Data-awareness
KW  -  Monitoring
KW  -  Adaptation
KW  -  servicio instrumentado
KW  -  Análisis de recursos
KW  -  Adaptación.
M1  - technical_report
Y1  - 2010/03//
AV  - public
N2  - Several activities in service oriented computing, such as automatic composition, monitoring, and adaptation, can benefit from knowing properties of a given service composition before executing them. Among these properties we will focus on those related to execution cost and resource usage, in a wide sense, as they can be linked to QoS characteristics. In order to attain more accuracy, we formulate execution costs / resource usage as functions on input data (or appropriate abstractions thereof) and show how these functions can be used to make better, more informed decisions when performing composition, adaptation, and proactive monitoring. We present an approach to, on one hand, synthesizing these functions in an automatic fashion from the definition of the different orchestrations taking part in a system and, on the other hand, to effectively using them to reduce the overall costs of non-trivial service-based systems featuring sensitivity to data and possibility of failure. We validate our approach by means of simulations of scenarios needing runtime selection of services and adaptation due to service failure. A number of rebinding strategies, including the use of cost functions, are compared.
PB  - Technical University of Madrid (UPM)
CY  - Madrid, Spain
TI  - Towards data-aware cost-driven adaptation for service orchestrations.
ID  - upm14692
UR  - http://clip.dia.fi.upm.es/papers/ivanovic09-cost-adaptation-tr.pdf
EP  - 27
ER  -