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Scheduling Tasks with Hard Deadlines in CloudBased Virtualized Software Systems
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.ORCID-id: 0000-0002-2974-3700
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
(engelsk)Manuskript (preprint) (Annet vitenskapelig)
Abstract [en]

There is scheduling on two levels in real-time applications executing in a virtualized environment: traditional real-time scheduling of the tasks in the realtime application, and scheduling of different Virtual Machines (VMs) on the hypervisor level. In this paper, we describe a technique for calculating a period and an execution time for a VM containing a real-time application with hard deadlines. This result makes it possible to apply existing real-time scheduling theory when scheduling VMs on the hypervisor level, thus making it possible to guarantee that the real-time tasks in a VM meet their deadlines. If overhead for switching from one VM to another is ignored, it turns out that (infinitely) short VM periods minimize the utilization that each VM needs to guarantee that all real-time tasks in that VM will meet their deadlines. Having infinitely short VM periods is clearly not realistic, and in order to provide more useful results we have considered a fixed overhead at the beginning of each execution of a VM. Considering this overhead, a set of real-time tasks, the speed of each processor core, and a certain processor utilization of the VM containing the real-time tasks, we present a simulation study and some performance bounds that make it possible to determine if it is possible to schedule the real-time tasks in the VM, and in that case for which periods of the VM that this is possible.

HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-17215OAI: oai:DiVA.org:bth-17215DiVA, id: diva2:1260332
Tilgjengelig fra: 2018-11-02 Laget: 2018-11-02 Sist oppdatert: 2018-11-06bibliografisk kontrollert
Inngår i avhandling
1. Performance Implications of Virtualization
Åpne denne publikasjonen i ny fane eller vindu >>Performance Implications of Virtualization
2019 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Virtualization is a component of cloud computing. Virtualization transforms traditional inflexible, complex infrastructure of individual servers, storage, and network hardware into a flexible virtual resource pool and increases IT agility, flexibility, and scalability while creating significant cost savings. Additional benefits of virtualization include, greater work mobility, increased performance and availability of resources, and automated operations. Many virtualization solutions have been implemented. There are plenty of cloud providers using different virtualization solutions to provide virtual machines (VMs) and containers, respectively. Various virtualization solutions have different performance overheads due to their various implementations of virtualization and supported features. A cloud user should understand performance overheads of different virtualization solutions and the impact on the performance caused by different virtualization features, so that it can choose appropriate virtualization solution, for the services to avoid degrading their quality of services (QoSs). In this research, we investigate the impacts of different virtualization technologies such as, container-based, and hypervisor-based virtualization as well as various virtualization features such as, over-allocation of resources, live migration, scalability, and distributed resource scheduling on the performance of various applications for instance, Cassandra NoSQL database, and a large telecommunication application. According to our results, hypervisor-based virtualization has many advantages and is more mature compare to the recently introduced container-based virtualization. However, impacts of the hypervisorbased virtualization on the performance of the applications is much higher than the container-based virtualization as well as the non-virtualized solution. The findings of this research should be of benefit to the ones who provide planning, designing, and implementing of the IT infrastructure.

sted, utgiver, år, opplag, sider
Karlskrona: Blekinge Tekniska Högskola, 2019. s. 211
Serie
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 1
Emneord
Cloud computing, Virtualization
HSV kategori
Identifikatorer
urn:nbn:se:bth-17217 (URN)978-91-7295-361-1 (ISBN)
Disputas
2019-01-16, J1650, Campus Gräsvik, Karlskrona, 13:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2018-11-05 Laget: 2018-11-02 Sist oppdatert: 2019-01-22bibliografisk kontrollert

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