UNI-MB - logo
UMNIK - logo
 
(UL)
PDF
  • Semantic approach for multi-objective optimisation of the ENTICE distributed Virtual Machine and container images repository : special issue paper
    Gec, Sandi ...
    New software engineering technologies facilitate development of applications from reusable software components, such as Virtual Machine and container images (VMI/CIs). Key require- ments for the ... storage of VMI/CIs in public or private repositories are their fast delivery and cloud deployment times. ENTICE is a federated storage facility for VMI/CIs that provides optimisation mechanisms through the use of fragmentation and replication of images and a Pareto Multi-Objective Optimisation (MO) solver. The operation of the MO solver is, however, time-consuming due to the size and complexity of the metadata, specifying various non-functional requirements for the management of VMI/CIs, such as geolocation, operational cost, and delivery time. In this work, we address this problem with a new semantic approach, which uses an ontology of the federated ENTICE repository, knowledge base, and constraint-based reasoning mechanism. Open Source technologies such as Protégé, Jena Fuseki, and Pellet were used to develop a solu- tion. Two specific use cases, (1) repository optimisation with offline and (2) online redistribution of VMI/CIs, are presented in detail. In both use cases, data from the knowledge base are provided to the MO solver. It is shown that Pellet-based reasoning can be used to reduce the input metadata size used in the optimisation process by taking into consideration the geographic location of the VMI/CIs and the provenance of the VMI fragments. It is shown that this process leads to reduction of the input metadata size for the MO solver by up to 60% and reduction of the total optimisa- tion time of the MO solver by up to 68%, while fully preserving the quality of the solution, which is significant.
    Vir: Concurrency and computation : practice and experience. - ISSN 1532-0626 (Letn. 0, št. 0, nov. 2017, str. 1-19)
    Vrsta gradiva - članek, sestavni del
    Leto - 2017
    Jezik - angleški
    COBISS.SI-ID - 8208225
    DOI

Vnos na polico