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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2018
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| Online Access: | http://hdl.handle.net/1721.1/113424 https://orcid.org/0000-0001-9166-4758 https://orcid.org/0000-0001-7864-9705 |
| Summary: | 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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