MASTS: Microservice-Aware Secure Task Scheduling System for Distributed Workflow Drone Applications

Forskningsoutput: KonferensbidragArbetsdokumentPeer review

Sammanfattning

These days, the usage of drone vehicle applications
are growing in practice. The drone applications are workflows
that access different cloud services to achieve various intended
goals. For instance, drone package delivery, surveillance monitoring, product transfer, and security monitoring are performed via
drones. However, these applications depend on cloud services and
have security, execution time, and transmission constraints. This
study proposes the microservice-aware secure task scheduling
(MASTS) algorithm and framework. The main objective is to
minimize the system’s processing time and transmission time.
Simulation results show that the proposed method combines the
optimal microservices, minimizes their execution time by 19%,
transmission time by 20%, and meets the security and deadline
constraints. In addition, it is observed and analyzed that the proposed method has better performance than existing conventional
microservices systems for workflow drone applications.
Index Terms—Drone, Deadline, execution time, transmission
time, security, package delivery on the road
OriginalspråkEngelska
Sidor1-5
Antal sidor5
StatusPublicerad - 2022-juni-17
EvenemangThe 17th Swedish National Computer Networking Workshop, Royal Institute of Technology (KTH), 16-17 June, 2022 - Stockholm, Sverige
Varaktighet: 2021-juni-172022-juni-19
Konferensnummer: 17th
http://www.sncnw.se/2022/

Workshop

WorkshopThe 17th Swedish National Computer Networking Workshop, Royal Institute of Technology (KTH), 16-17 June, 2022
Förkortad titelSNCNW' 22
Land/TerritoriumSverige
OrtStockholm
Period21-06-1722-06-19
Internetadress

Nationell ämneskategori

  • Data- och informationsvetenskap (102)

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