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ElaClo : A Framework for Optimizing Software Application Topology in the Cloud Environment


Tanković, Nikola; Galinac Grbac, Tihana; Žagar, Mario
ElaClo : A Framework for Optimizing Software Application Topology in the Cloud Environment // Expert systems with applications, 30 (2017) 62-86. doi:10.1016/j.eswa.2017.07.001 (članak, znanstveni)


Naslov
ElaClo : A Framework for Optimizing Software Application Topology in the Cloud Environment

Autori
Tanković, Nikola ; Galinac Grbac, Tihana ; Žagar, Mario

Izvornik
Expert systems with applications (0957-4174) 30 (2017), ; 62-86

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Software architecture ; cloud computing ; service-oriented computing ; application topology ; service deployment ; evolutionary optimization

Sažetak
Application architectures in the cloud employ elastic components, and achieve lower operating costs without sacrificing quality. Software architects strive to provide efficient services by deciding on software topology: a set of structural architectural decisions. For a given application, there can be numerous software topology alternatives creating the need for automated optimization methods. Current optimization approaches rely on experts providing application performance models built upfront, based on their experience and the requirements provided. While such techniques are effective and valuable, they require additional maintenance effort as the software evolves. This paper introduces ElaClo, a framework for optimizing application topologies in a cloud environment. ElaClo's main contribution is in providing optimization in the software assembly phase from automatically extracted application models. ElaClo provides workload generation, monitoring, topology management, elasticity mechanisms, and algorithms to support the optimization process. We have implemented ElaClo as an expert tool and evaluated it on a real-life cloud application from the retailing business domain. ElaClo was used to select optimal topologies with regards to service response time objectives and infrastructure costs. The efficiency of the optimization process and the quality of optimization results were validated quantitatively on a set of optimization runs. Results demonstrate the effectiveness of the suggested framework in yielding optimal topologies.

Projekt / tema
HRZZ-UIP-2014-09-7945 - Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju (Tihana Galinac Grbac)

Izvorni jezik
Engleski

Rad je citiran u bazama podataka
WoSCC, Current Contents, Scopus, Science Citation Index Expanded Index

Znanstvena područja
Računarstvo