TY  - CHAP
ID  - eprints2633
EP  - 322
T2  - Software Engineering for Collective Autonomic Systems : the ASCENS Approach
AV  - none
TI  - Supporting performance awareness in autonomous ensembles
Y1  - 2015///
KW  - performance; monitoring; modeling; adaptive systems; autonomic systems
UR  - http://dx.doi.org/10.1007/978-3-319-16310-9_8
A1  - Bulej, Lubomír
A1  - Bure?, Tomá?
A1  - Gerostathopoulos, Ilias
A1  - Horký, Vojt?ch
A1  - Keznikl, Jaroslav
A1  - Marek, Luká?
A1  - Tschaikowski, Max
A1  - Tribastone, Mirco
A1  - T?ma, Petr
SN  - 978-3-319-16310-9
PB  - Springer
N2  - The ASCENS project works with systems of self-aware, self-adaptive and self-expressive ensembles. Performance awareness represents a concern that cuts across multiple aspects of such systems, from the techniques to acquire performance information by monitoring, to the methods of incorporating such information into the design making and decision making processes. This chapter provides an overview of five project contributions ? performance monitoring based on the DiSL instrumentation framework, measurement evaluation using the SPL formalism, performance modeling with fluid semantics, adaptation with DEECo and design with IRM-SA ? all in the context of the cloud case stud
SP  - 291
T3  - Lecture Notes in Computer Science
ER  -