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Conference object . 2024
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Article . 2024
License: CC BY
Data sources: Datacite
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Article . 2024
License: CC BY
Data sources: Datacite
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A novel concept for the migration of workloads using virtual machines that can mitigate limitations of traditional service deployment concepts

Authors: Cocos, Henry-Norbert; Baun, Christian; Kappes, Martin;

A novel concept for the migration of workloads using virtual machines that can mitigate limitations of traditional service deployment concepts

Abstract

The project aims to investigate the outsourcing of cloud ser- vices to clients by including heterogeneous, client-side resources and co- operation between cloud and client in the execution of services. For this purpose, an offline-first strategy shall be formulated, developed, and in- vestigated to be used as a counterpart to the cloud-first strategy and enable the utilization of services without a permanent cloud connec- tion. The scope of the offline-first strategy is to achieve autonomy for applications while cooperating with cloud services. To achieve the inde- pendence and simultaneous cooperation of applications in this context, methods of service migration are to be researched to enable the provi- sion of services. In summary, this should increase resilience when using services, improve the stability of services along the cloud-to-edge supply, and allow transparent use for the end user. Furthermore, lab experiments were conducted to investigate the behavior of virtual machines during live migration in two setups, simulating a WAN link. The experiments show that migration over a WAN link takes five times longer for RAM- intensive tasks than in a LAN. This provides initial insights into selecting the technological basis for this project.

Related Organizations
Keywords

Cloud Computing, virtualization, virtualoverlay-networks, Offline-First-Strategy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average