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dEcentralized repositories for traNsparent and efficienT vIrtual maChine opErations
EC | H2020 | RIA
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Data Pilot
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  • 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...

    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...

    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

    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...

    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...

    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...

    Modelling Energy Consumption of network transfers and virtual machine migration

    De Maio, Vincenzo; Prodan, Radu; Benedict, Shajulin; Kecskemeti, Gabor (2016)
    Projects: EC | ENTICE (644179)
    Reducing energy consumption has become a key issue for data centres, not only because of economical benefits but also for environmental and marketing reasons. Therefore, assessing their energy consumption requires precise models. In the past years, many models targeting different hardware components, such as CPU, storage and network interface cards (NIC) have been proposed. However, most of them neglect energy consumption related to VM migration. Since VM migration is a network-intensive proc...

    The ENTICE approach to decompose monolithic services into microservices

    Kecskeméti, Gábor; Marosi, Attila; Kertész, Attila (2016)
    Projects: EC | ENTICE (644179)
    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 ...

    A Simplified Model for Simulating the Execution of a Workflow in Cloud

    Roland Matha; Sasko Ristov; Radu Prodan (2017)
    Projects: EC | ENTICE (644179)
    Although simulators provide approximate, faster and easier simulation of an application execution in Clouds, still many researchers argue that these results cannot be always generalized for complex application types, which consist of many dependencies among tasks and various scheduling possibilities, such as workflows. DynamicCloudSim, the extension of the well known CloudSim simulator, offers users the capability to simulate the Cloud heterogeneity by introducing noisiness in dozens paramete...
  • 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.

    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 ...

    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

    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.

    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...

    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.    
  • Scientific Results

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