Logo eprints

Supporting performance awareness in autonomous ensembles

Bulej, Lubomír and Bureš, Tomáš and Gerostathopoulos, Ilias and Horký, Vojtěch and Keznikl, Jaroslav and Marek, Lukáš and Tschaikowski, Max and Tribastone, Mirco and Tůma, Petr Supporting performance awareness in autonomous ensembles. In: Software Engineering for Collective Autonomic Systems : the ASCENS Approach. Lecture Notes in Computer Science (8998). Springer, pp. 291-322. ISBN 978-3-319-16310-9 (2015)

Full text not available from this repository.

Abstract

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

Item Type: Book Section
Identification Number: 10.1007/978-3-319-16310-9_8
Projects: This research was supported by the European project IP 257414 (ASCENS)
Uncontrolled Keywords: performance; monitoring; modeling; adaptive systems; autonomic systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 11 Mar 2015 11:18
Last Modified: 24 Jul 2015 12:26
URI: http://eprints.imtlucca.it/id/eprint/2633

Actions (login required)

Edit Item Edit Item