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dEcentralized repositories for traNsparent and efficienT vIrtual maChine opErations
EC | H2020 | RIA
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  • A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks

    Nishant Saurabh; Dragi Kimovski; Francesco Gaetano; Radu Prodan (2017)
    Projects: EC | ENTICE (644179)
    In the recent years, overlay networks have emerged as a crucial platform for deployment of various distributed applications. Many of these applications rely on data redundancy techniques, such as erasure coding, to achieve higher fault tolerance. However, erasure coding applied in large scale overlay networks entails various overheads in terms of storage, latency and data rebuilding costs. These overheads are largely attributed to the selected erasure coding scheme and the encoded chunk place...

    An Improved Model for Live Migration in Data Centre Simulators

    De Maio, Vincenzo; Kecskemeti, Gabor; Prodan, Radu (2016)
    Projects: EC | ENTICE (644179)
    Due to the difficulty of employing real data centres' infrastructure for assessing the effectiveness of energy-aware algorithms, many researchers resort to use simulation tools. These tools require precise and detailed models for virtualized data centres in order to deliver accurate results. In recent years, many models have been proposed, but most of them either do not consider energy consumption related to virtual machine (VM) migration or do not investigate some of the energy impacting com...

    A Workload-Aware Energy Model for Virtual Machine Migration

    De Maio, Vincenzo; Kecskemeti, Gabor; Prodan, Radu (2015)
    Projects: EC | ENTICE (644179)
    Energy consumption has become a significant issue for data centres. Assessing their consumption requires precise and detailed models. In the latter years, many models have been proposed, but most of them either do not consider energy consumption related to virtual machine migration or do not consider the variation of the workload on (1) the virtual machines (VM) and (2) the physical machines hosting the VMs. In this paper, we show that omitting migration and workload variation from the models...


    Ramos, Jose Julio; Becedas, Jonathan (2016)
    Projects: EC | ENTICE (644179)
    Big Data from Space refers to Earth and Space observation data collected by space-borne and ground-based sensors. Whether for Earth or Space observation, they qualify being called 'big data' given the sheer volume of sensed data (archived data reaching the exabyte scale), their high velocity (new data is acquired almost on a continuous basis and with an increasing rate), their variety (data is delivered by sensors acting over various frequencies of the electromagnetic spectrum in passive and ...

    Multi-objective Service Oriented Network Provisioning in Ultra-scale Systems

    Dragi Kimovski; Roland Matha; Sasko Ristov; Radu Prodan (2017)
    Projects: EC | ENTICE (644179)
    The paradigm of ultra-scale computing has been recently pushed forward by the current trends in distributed computing. This novel architecture concept is focused towards a federation of multiple geographically distributed heterogeneous systems under a single system image, thus allowing efficient deployment and management of very complex architectures applications. To enable sustainable ultra-scale computing, there are multiple major challenges, which have to be tackled, such as, improved data...

    Using Constraint-Based Reasoning for Multi-objective Optimisation of the ENTICE Environment

    Sandi Gec; Dragi Kimovski; Radu Prodan; Vlado Stankovski (2016)
    Projects: EC | ENTICE (644179)
    ENTICE is a set of innovative software services currently being developed to facilitate efficient operations of distributed Virtual Machine and container images (VMI/CI) repositories. Its operation necessitates various decision making for which a solver for Multi-Objective Optimisation (MOO) problems is used. However, the solver is a bottleneck due to its computational complexity. In order to be able to reduce the search space for the solver, we have developed an ontology and corresponding Kn...

    Semantic approach for multi-objective optimisation of the ENTICE distributed Virtual Machine and container images repository

    Sandi Gec; Dragi Kimovski; Uroš Paščinski; Radu Prodan; Vlado Stankovski (2018)
    Projects: EC | ENTICE (644179)
    New software engineering technologies facilitate development of applications from reusable software components, such as Virtual Machine and container images (VMI/CIs). Key requirements 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) solv...

    Addressing the Needs of Micro-to-Small Data Centres with ENTICE and SWITCH Cloud Technologies

    Vlado Stankovski (2015)
    Projects: EC | ENTICE (644179)
    International Conference on Cloud-Assisted Services (CLASS 2015), in the Proceedings of the CLASS 2015, (edited by Baškovč, D., Kutnar, A., Trobec, R., Stankovski, V.), pp. 36-37

    ENTICE VM image analysis and optimised fragmentation

    Hajnal, Akos; Kecskemeti, Gabor; Marosi, Attila Csaba; Kovacs, Jozsef; Kacsuk, Peter; Lovas, Robert (2018)
    Projects: EC | ENTICE (644179)
    This is a pre-print of an article published in Journal of Grid Computing. The final authenticated version will be available online at: https://doi.org/10.1007/s10723-018-9430-x Virtual machine (VM) images (VMIs) often share common parts of significant size as they are stored individually. Using existing de-duplication techniques for such images are non-trivial, impose serious technical challenges, and requires direct access to clouds’ proprietary image storages, which is not always feasib...
  • Entice Optimisation Data For Flexiops Use Case

    Grant Olsson; Craig Sheridan (2018)
    Publisher: Zenodo
    Projects: EC | ENTICE (644179)
    The optimisation data for the project Entice shows the metrics gathered by FlexiOps in their use case. These measurements were taken in the Flexiant Cloud Orchestrator platform and shows how the Entice software optimises virtual machine images and reduces them considerably in size.

    Metrics Eod Optimization

    Jonathan Becedas; María del Mar Núñez; David Gonzalez (2018)
    Publisher: Zenodo
    Projects: EC | ENTICE (644179)
    Excel file with the results of the optimization of the Earth Observation Data (EOD) Processing and Distribution pilot case using the ENTICE middleware. The EOD pilot consists of four virtual machines: process4EO, monitor4EO, archive4EO, user4EO. The metrics used to measure the optimization of each virtual machine are the sizes, creation times, delivery times, deployment time. Finally, the percentaje reductions were calculated.

    Objectives For Csp Pilots Of Wt For Entice Workbench

    Guadalupe Flores; Jorge Pérez (2018)
    Publisher: Zenodo
    Projects: EC | ENTICE (644179)
    Data set for the objectives of ENTICE with WT pilots

    Entice Download Speed Measurements

    Paščinski, Uroš (2018)
    Publisher: Zenodo
    Projects: EC | ENTICE (644179)
    A sample of a measurements dataset. Monitoring of a general purpose Cloud storages (e.g. such as AWS S3) is a part of ENTICE Pareto-SLA component. This dataset has been obtained by performing downloads of objects with random data of various sizes, ranging from 1 kB to 1 GB. Each file object has been generated by dd tool: dd if=/dev/urandom of=rand-1M.bin bs=1M count=1. On the server side a Minio S3 server has been setup with a Nginx gateway. The client who performed downloads was residing in ...

    Entice Multi-Objective Optimization Framework Synthetic Evaluation Data-Sets

    Dragi Kimovski (2018)
    Publisher: Zenodo
    Projects: EC | ENTICE (644179)
    This dataset contains synthetic usage data for evaluation of the multi-objective redistribution framework for distributed VMI repositories.  The data is stored in a Java object and it should be directly loaded.    

    Entice Vm Image Analysis And Optimised Fragmentation Frequently Built Images Dataset

    Kecskemeti, Gabor; Hajnal, Akos; Marosi, Attila Csaba; Kovacs, Jozsef; Kacsuk, Peter; Lovas, Robert (2018)
    Publisher: Zenodo
    Projects: EC | ENTICE (644179)
    As part of the evaluation of ENTICE VM image analysis and optimised fragmentation services we have implemented a simulation environment which analyses online software package repositories (e.g. ones offered by the maintainers of the Ubuntu and Debian Linux distributions) and deduces decomposition options as well as expected fragment sizes based on metadata acquired from these repositories. This dataset contains the collected recipes for several frequently built Ubuntu Linu...
  • Scientific Results

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