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A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems

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Book cover Parallel Processing and Applied Mathematics (PPAM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10778))

Abstract

The paper presents a general framework to study issues of multi-objective on-line scheduling in the Infrastructure as a Service model of Cloud Computing (CC) systems taking into account the aspects of the total work-flow execution cost while meeting the deadline and risk rate constraints. Our goal is providing fairness between concurrent job submissions by minimizing tardiness of individual applications and dynamically rescheduling them to the best suited resources. The system, via the scheduling algorithms, is responsible to guarantee the corresponding Quality of Service (QoS) and Service Level Agreement (SLA) for all accepted jobs.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Natural Sciences, Cardinal Stefan Wyszyński University, Warsaw, Poland

    Jakub Gąsior & Franciszek Seredyński

  2. CICESE Research Center, Ensenada, Baja California, Mexico

    Andrei Tchernykh

Authors
  1. Jakub Gąsior
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  2. Franciszek Seredyński
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  3. Andrei Tchernykh
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Corresponding author

Correspondence to Jakub Gąsior .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Knoxville, Tennessee, USA

    Jack Dongarra

  3. University of Southern California, Marina Del Rey, California, USA

    Ewa Deelman

  4. Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

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Gąsior, J., Seredyński, F., Tchernykh, A. (2018). A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10778. Springer, Cham. https://doi.org/10.1007/978-3-319-78054-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-78054-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78053-5

  • Online ISBN: 978-3-319-78054-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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