Queues with Redundancy
A major advantage of cloud computing and storage is the large-scale sharing of resources, which provides scalability and flexibility. But resource-sharing causes variability in the latency experienced by the user, due to several factors such as virtualization, server outages, network congestion etc...
| Váldodahkkit: | , , |
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| Eará dahkkit: | |
| Materiálatiipa: | Artihkal |
| Giella: | en_US |
| Almmustuhtton: |
Association for Computing Machinery (ACM)
2018
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| Liŋkkat: | http://hdl.handle.net/1721.1/113424 https://orcid.org/0000-0001-9166-4758 https://orcid.org/0000-0001-7864-9705 |
| Čoahkkáigeassu: | A major advantage of cloud computing and storage is the large-scale sharing of resources, which provides scalability and flexibility. But resource-sharing causes variability in the latency experienced by the user, due to several factors such as virtualization, server outages, network congestion etc . This problem is further aggravated when a job consists of several parallel tasks, because the task run on the slowest machine becomes the latency bottleneck. |
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