Forthcoming and Online First Articles

International Journal of High Performance Systems Architecture

International Journal of High Performance Systems Architecture (IJHPSA)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of High Performance Systems Architecture (One paper in press)

Regular Issues

  • Artificial Intelligence for Energy and QoS-Aware Proactive Dynamic Virtual Machines Consolidation in Cloud-Edge Data Centres   Order a copy of this article
    by Marwan Mbarek, Abdelkarim Ait Temghart, Mohamed Lazaar 
    Abstract: By minimizing the number of active servers, virtual machine consolidation (VMC) is a strategy for reducing electricity consumption while maintaining service level agreements (SLAs). However, future resource demands have not been considered by current VMC algorithms, which primarily concentrate on the requirements of all virtual machines (VMs) operating in a data center. Furthermore, the majority of the existing works ignore the security risks associated with VM placement. Therefore, we suggest using recurrent neural networks (RNNs) for capacity planning and multi-objective optimization for SLA constraints. Initially, the trade-off between the competing objectives of power, performance, and security is evaluated using a multi-objective particle swarm optimization (MOPSO) technique. Secondly, we provide a novel method for workload prediction based on gated recurrent units optimized by genetic algorithm (GA-GRU). Overall, the findings show that the suggested framework, which takes energy savings and QoS guarantees into account, leads to the optimal design of data centers.
    Keywords: cloud computing; edge computing; data centers; VM consolidation; VM placement; workload prediction; PSO; GRU; GA; MOPSO; energy; security; SLA; QoS.
    DOI: 10.1504/IJHPSA.2024.10067941
     

 

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