eprintid: 3578
rev_number: 6
eprint_status: archive
userid: 69
dir: disk0/00/00/35/78
datestamp: 2016-10-06 15:36:19
lastmod: 2016-10-06 15:36:19
status_changed: 2016-10-06 15:36:19
type: conference_item
metadata_visibility: show
creators_name: Incerto, Emilio
creators_name: Tribastone, Mirco
creators_name: Trubiani, Catia
creators_id: 
creators_id: mirco.tribastone@imtlucca.it
creators_id: 
title: A Proactive Approach for Runtime Self-adaptation Based on Queueing Network Fluid Analysis
ispublished: pub
subjects: QA76
divisions: CSA
full_text_status: none
pres_type: paper
keywords: Fluid Approximation Analysis, Queueing Networks, Runtime Self-Adaptation
note: SCOPUS ID: 2-s2.0-84960413541
abstract: Complex software systems are required to adapt dynamically to changing workloads and scenarios, while guaranteeing a set of performance objectives. This is not a trivial task, since run-time variability makes the process of devising the needed resources challenging for software designers. In this context, self-adaptation is a promising technique that work towards the specification of the most suitable system configuration, such that the system behavior is preserved while meeting performance requirements. In this paper we propose a proactive approach based on queuing networks that allows self-adaptation by predicting performance flaws and devising the most suitable system resources allocation. The queueing network model represents the system behavior and embeds the input parameters (e.g., workload) observed at run-time. We rely on fluid approximation to speed up the analysis of transient dynamics for performance indices. To support our approach we developed a tool that automatically generates simulation and fluid analysis code from an high-level description of the queueing network. An illustrative example is provided to demonstrate the effectiveness of our approach.
date: 2015
date_type: published
series: QUDOS 2015
publisher: ACM
place_of_pub: New York, NY, USA
pagerange: 19-24
event_title: Proceedings of the 1st International Workshop on Quality-Aware DevOps
event_location: Bergamo, Italy
event_dates: August 30 - September 4, 2015
event_type: conference
id_number: doi: 10.1145/2804371.2804375
refereed: TRUE
isbn: 978-1-4503-3817-2
book_title: QUDOS 2015 Proceedings of the 1st International Workshop on Quality-Aware DevOps
official_url: http://doi.acm.org/10.1145/2804371.2804375
citation:   Incerto, Emilio and Tribastone, Mirco and Trubiani, Catia  A Proactive Approach for Runtime Self-adaptation Based on Queueing Network Fluid Analysis.  In: Proceedings of the 1st International Workshop on Quality-Aware DevOps, August 30 - September 4, 2015, Bergamo, Italy pp. 19-24.  ISBN 978-1-4503-3817-2.      (2015)