61322 20190709135451.0 doi 10.1016/j.jss.2017.05.022 sideral 98661 ART-2017-98661 eng Perez-Palacin, Diego Accurate Modeling and Efficient QoS Analysis of Scalable Adaptive Systems under Bursty Workload 2017 Access copy available to the general public Unrestricted Fulfillment of QoS requirements for systems deployed in the Internet is becoming a must. A widespread characteristic of this kind of systems is that they are usually subject to highly variable and bursty workloads. The allocation of resources to fulfill QoS requirements during the peak workloads could entail a waste of computing resources. A solution is to provide the system with self-adaptive techniques that can allocate resources only when and where they are required. We pursue the QoS evaluation of workload-aware self-adaptive systems based on stochastic models. In particular, this work proposes an accurate modeling of the workload variability and burstiness phenomena based on previous approaches that use Markov Modulated Poisson Processes. We extend these approaches in order to accurately model the variations of the workload strongly influence the QoS of the self-adaptive system. Unfortunately, this stochastic modeling may lead to a non tractable QoS analysis. Consequently, this work also develops an efficient procedure for carrying out the QoS analysis. info:eu-repo/grantAgreement/ES/MICINN/TIN2014-58457-R This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 644869-DICE info:eu-repo/grantAgreement/EC/H2020/644869/EU/Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements/DICE info:eu-repo/grantAgreement/ES/DGA/T94 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.278 2017 COMPUTER SCIENCE, THEORY & METHODS 21 / 103 = 0.204 2017 Q1 T1 COMPUTER SCIENCE, SOFTWARE ENGINEERING 19 / 104 = 0.183 2017 Q1 T1 0.472 2017 Hardware and Architecture 2017 Q1 Software 2017 Q2 Information Systems 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion Mirandola, Raffaela (orcid)0000-0002-8917-6584 Merseguer, José Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 130 (2017), 24-41 J. syst. softw. JOURNAL OF SYSTEMS AND SOFTWARE 0164-1212 1261966 http://zaguan.unizar.es/record/61322/files/texto_completo.pdf Preprint 69115 http://zaguan.unizar.es/record/61322/files/texto_completo.jpg?subformat=icon icon Preprint oai:zaguan.unizar.es:61322 articulos driver 2019-07-09-11:40:56 ARTICLE