Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

The ENTICE approach to decompose monolithic services into microservices

Kecskemeti, G, Marosi, AC and Kertesz, A (2016) The ENTICE approach to decompose monolithic services into microservices. In: High Performance Computing and Simulation, HPCS 2016 . (2016 International Conference on High Performance Computing and Simulation, HPCS 2016, 18-22 July 2016, Innsbruck, Austria).

[img]
Preview
Text
microservice_entice_hpcs16.pdf - Updated Version

Download (274kB) | Preview

Abstract

Cloud computing has enabled elastic and on-demand service provisioning to achieve more efficient resource utilisation and quicker responses to varying application loads. Virtual machines, the building blocks of clouds, can be created using provider specific templates stored in proprietary repositories, which may lead to provider lock-in and decreased portability. Despite these enabling technologies, large scale service oriented applications are still mostly inelastic. Such applications often use monolithic services that limit the elasticity (e.g., by obstructing the replicability of parts of a monolithic service). Decomposing these services (leading to smaller, more targeted and more modular services) would open towards elasticity, but the decomposition process is mostly manual. This paper introduces a methodology for decomposing monolithic services to several so called microservices. The proposed methodology applies several outcomes of the ENTICE project (namely its image synthesis and optimisation tools). Finally, the paper provides insights on how these outcomes help revitalise past monolithic services, and what techniques are applied to aid future microservice developers. © 2016 IEEE.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 09 Nov 2016 09:48
Last Modified: 13 Apr 2022 15:14
DOI or ID number: 10.1109/HPCSim.2016.7568389
URI: https://researchonline.ljmu.ac.uk/id/eprint/4764
View Item View Item