Jun Liu\
    \
    \
bibliography:
- 'IEEEabrv.bib'
- 'BoT-SpringSim.bib'
title: 'Managing Deadline-constrained Bag-of-Tasks Jobs on Hybrid Clouds'
---

Introduction {#sec:introduction}
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Hybrid cloud, combining a local cloud (private cloud) and a public cloud, is a cost-efficient way to address the problem of insufficient resources in the local cloud when its users have a peak resource demand as the peak load is much larger than average, but transient [@LoadBursting]. Surveyed by the European Network and Information Security Agency (ENISA), most of the small to medium enterprises prefer a mixture of cloud computing models (public cloud, private cloud) [@SMEs].

Reducing total capital expenditure on resources is a main objective on hybrid clouds for a provider owning local resources. Generally, using the resources of the local cloud is costless or cheaper, considering that investment costs for the physical infrastructures are “sunk costs”, compared with leasing the resources from a public cloud. Thus minimizing the costs for a private cloud provider on a hybrid cloud is the integration of maximizing the resource utilizations of the local cloud and minimizing the rent cost from the public cloud.

There are various researches on scheduling the scientific computing applications on hybrid clouds. A few works focus on 