000126487 001__ 126487
000126487 005__ 20230706095711.0
000126487 0247_ $$2doi$$a10.1007/978-3-319-19728-9_18
000126487 0248_ $$2sideral$$a100334
000126487 037__ $$aART-2015-100334
000126487 041__ $$aeng
000126487 100__ $$0(orcid)0000-0003-3057-6273$$aTolosana-Calasanz, R.$$uUniversidad de Zaragoza
000126487 245__ $$aOn autonomic platform-as-a-service: characterisation and conceptual model
000126487 260__ $$c2015
000126487 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126487 5203_ $$aIn this position paper, we envision a Platform-as-a-Service conceptual and architectural solution for large-scale and data intensive applications. Our architectural approach is based on autonomic principles, therefore, its ultimate goal is to reduce human intervention, the cost, and the perceived complexity by enabling the autonomic platform to manage such applications itself in accordance with highlevel policies. Such policies allow the platform to (i) interpret the application specifications; (ii) to map the specifications onto the target computing infrastructure, so that the applications are executed and their Quality of Service (QoS), as specified in their SLA, enforced; and, most importantly, (iii) to adapt automatically such previously established mappings when unexpected behaviours violate the expected. Such adaptations may involve modifications in the arrangement of the computational infrastructure, i.e. by re-designing a different communication network topology that dictates how computational resources interact, or even the live-migration to a different computational infrastructure. The ultimate goal of these challenges is to (de)provision computational machines, storage and networking links and their required topologies in order to supply for the application the virtualised infrastructure that better meets the SLAs. Generic architectural blueprints and principles have been provided for designing and implementing an autonomic computing system.We revisit them in order to provide a customised and specific viewfor PaaS platforms and integrate emerging paradigms such as DevOps for automate deployments, Monitoring as a Service for accurate and large-scale monitoring, or well-known formalisms such as Petri Nets for building performance models.
000126487 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000126487 592__ $$a0.159$$b2015
000126487 593__ $$aDecision Sciences (miscellaneous)$$c2015$$dQ4
000126487 593__ $$aComputer Science (miscellaneous)$$c2015$$dQ4
000126487 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/acceptedVersion
000126487 700__ $$0(orcid)0000-0002-4198-8241$$aBañares, J.$$uUniversidad de Zaragoza
000126487 700__ $$0(orcid)0000-0001-5066-4030$$aColom, J.-M.$$uUniversidad de Zaragoza
000126487 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000126487 773__ $$g38 (2015), 217-226$$pSmart innov. syst. technol.$$tSmart innovation, systems and technologies$$x2190-3018
000126487 8564_ $$s599571$$uhttps://zaguan.unizar.es/record/126487/files/texto_completo.pdf$$yPostprint
000126487 8564_ $$s1556779$$uhttps://zaguan.unizar.es/record/126487/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000126487 909CO $$ooai:zaguan.unizar.es:126487$$particulos$$pdriver
000126487 951__ $$a2023-07-06-07:57:54
000126487 980__ $$aARTICLE