Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3217197.3217207acmconferencesArticle/Chapter ViewAbstractPublication PageshpdcConference Proceedingsconference-collections
research-article

A Model Driven Intelligent Orchestration Approach to Service Automation in Large Distributed Infrastructures

Published: 11 June 2018 Publication History

Abstract

Today's scientific computing applications and workflows operate on heterogeneous and vastly distributed infrastructures. Traditional human-in-the-loop service engineering approach met its insurmountable challenge in dealing with these very complex and diverse networked systems, including conventional and software defined networks, compute, storage, clouds and instruments. Orchestration is the key to integrate and coordinate the networked multi-services and automate end-to-end workflows. In this work, we present a model driven intelligent orchestration approach to this end-to-end automation, which is built upon a semantic modeling solution that supports the full stack of service integration, orchestration, abstraction, and intent and policy representation. We also present the design of a real-world orchestrator called StackV that is able to accommodate highly complex application scenarios such as Software Defined ScienceDMZ (SD-SDMZ) and Hybrid Cloud Inter-Networking (HCIN) by implementing this approach.

References

[1]
StackV Open Source Orchestration Software Suite, http://github.com/MAX-UMD/StackV.community
[2]
World Wide Web Consortium, "Resource Description Framework (RDF)", W3C Recommendation. Available at: http://www.w3.org/RDF/.
[3]
World Wide Web Consortium, "Web Ontology Language (OWL)", W3C Recommendation. Available at: www.w3.org/2004/OWL/.
[4]
RAINS Project, "The Multi-Resource Markup Language (MRML) Ontology - Extension of NML", Available at: https://github.com/RAINS-Project/nml-mrs-model/blob/master/schema/rdf-owl/nml-mrs-ext-v2.owl
[5]
J. van der Ham, F. Dijkstra, R. Lapacz, J. Zurawski, "Network Markup Language Base Schema version 1", OGF GFD-R-P.206, May 2013.
[6]
T. Lehman, X. Yang, N. Ghani, et al., "Multilayer Networks: An Architecture Framework," IEEE Communications Magazine, 49-5, May 2011.
[7]
Internet Engineering Task Force, "YANG - A Data Modeling Language for the Network Configuration Protocol (NETCONF)", IETF RFC 6241, October 2010.
[8]
Internet Engineering Task Force, "Network Configuration Protocol (NETCONF)", IETF RFC 6020, June 2011.
[9]
RAINS Project, "The Multi-Resource Service (MRS) Simple Policy Annotation (SPA) Ontology", Available at: https://github.com/RAINS-Project/nml-mrs-model/blob/master/schema/rdf-owl/mrs-spa-v1.owl.
[10]
Apache Software Foundation, "Apache Jena: A free and open source Java framework for building Semantic Web and Linked Data applications", Available at https://jena.apache.org.
[11]
OpenStack, "OpenStack Open Source Cloud Computing Software," Available at: http://www.openstack.org/software/
[12]
SPARQL Query Language for RDF, https://www.w3.org/TR/rdf-sparql-query/
[13]
JSONPath - XPath for JSON, http://goessner.net/articles/JsonPath/
[14]
S. Weil, S. Brandt, E. Miller et al., "Ceph: A Scalable, High-Performance Distributed File System", in OSDI, pp. 307--320, 2006.
[15]
Intel Corp. whitepaper, "PCI-SIG SR-IOV Primer: An Introduction to SR-IOV Technology," http://www.intel.com/content/www/us/en/pci-express/pci-sig-sr-iov-primer-sr-iov-technology-paper.html
[16]
Quagga Routing Software Suite, Available at: http://www.quagga.net.
[17]
Globus, Research Data Management Services, http://www.globus.org

Index Terms

  1. A Model Driven Intelligent Orchestration Approach to Service Automation in Large Distributed Infrastructures

        Recommendations

        Comments

        Information & Contributors

        Information

        Published In

        cover image ACM Conferences
        AI-Science'18: Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science
        June 2018
        53 pages
        ISBN:9781450358620
        DOI:10.1145/3217197
        © 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

        Sponsors

        In-Cooperation

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 11 June 2018

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. Distributed Infrastructure
        2. Intelligent Orchestration
        3. Modeling
        4. Service Automation

        Qualifiers

        • Research-article
        • Research
        • Refereed limited

        Conference

        HPDC '18
        Sponsor:

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • 0
          Total Citations
        • 157
          Total Downloads
        • Downloads (Last 12 months)10
        • Downloads (Last 6 weeks)1
        Reflects downloads up to 13 Jan 2025

        Other Metrics

        Citations

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        Media

        Figures

        Other

        Tables

        Share

        Share

        Share this Publication link

        Share on social media