On the Power of (even a little) Centralization in Distributed Processing
We propose and analyze a multi-server model that captures a performance trade-off between centralized and distributed processing. In our model, a fraction p of an available resource is deployed in a centralized manner (e.g., to serve a most loaded station) while the remaining fraction 1-p is allocat...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2013
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| Online Access: | http://hdl.handle.net/1721.1/81190 https://orcid.org/0000-0003-2658-8239 |