Document type
Conference papers
Document subtype
Full paper
Title
ANN-Based Secure Task Scheduling In Computational Clouds
Participants in the publication
Jacek Tchorzewski (Author)
Ana Respicio (Author)
Dep. Informática
CMAFcIO
Joanna Kolodziej (Author)
Summary
Assuring the security of services in Computational Clouds (CC) is one of the most critical factors in cloud computing. However, it can complicate an already complex environment due to the complexity of the system architecture, the huge number of services, and the required storage management. In real systems, some security parameters of CC are manually set, which can be very time-consuming and requires security expertise. This paper proposes an intelligent system to support decisions regarding security and tasks scheduling in cloud services, which aims at automating these processes. This system comprises two different kinds of Artificial Neural Networks (ANN) and an evolutionary algorithm, and has as main goal sorting tasks incoming into CC according to their security demands. Trust levels of virtual machines (VMs) in the environment are automatically set to meet the tasks security demands. Tasks are then scheduled on VMs optimizing the makespan and ensuring that their security requirements are fulfilled. The paper also describes tests assessing the best configurations for the system components, using randomly generated batches of tasks. Results are presented and discussed. The proposed system may be used by CC service providers and CC consumers using Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) Cloud Computing models.
Editor(s)
Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen
Date of Publication
2018-05-25
Event
Proceedings 32nd European Conference on Modelling and Simulation
Publication Identifiers
ISBN - 9780993244063
Publisher
ECMS Digital Library of the European Council for Modelling and Simulation
Edition
1
Volume
1
Number
1
Document Identifiers
URL -
http://dx.doi.org/10.7148/2018-0468
DOI -
https://doi.org/10.7148/2018-0468
Rankings
Google Metrics (2019) - 13
Keywords
Computational Clouds; Cloud Security; Tasks Scheduling; Artificial Neural Networks; Intelligent Security System.
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