
In this thesis, we formulate a generalized optimization problem to minimize the electricity cost of network operation while using techniques applicable to operational networks. We applied our optimization formulation to two different networks: geo-diverse data centers and cellular networks. In case of cellular networks, using traffic traces from an large operational network, we observed that an operator can save up to 22% in electricity costs by using our proposed scheme. While the percentage amount seems modest, for an operator with 7000 cellular sites in an urban setting, this translates to savings of up to 35.36 MWh annually.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
