Name
Abstract | ||
|---|---|---|
Classically the data produced by Big Data applications is transferred through the access and core networks to be processed in data centers where the resulting data is stored. In this work we investigate improving the energy efficiency of transporting Big Data by processing the data in processing nodes of limited processing and storage capacity along its journey through the core network to the data center. The amount of data transported over the core network will be significantly reduced each time the data is processed therefore we refer to such a network as an Energy Efficient Tapered Data Network. The results of a Mixed Integer linear Programming (MILP), developed to optimize the processing of Big Data in the Energy Efficient Tapered Data Networks, show significant reduction in network power consumption up to 76%. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICTON.2015.7193536 | 2015 17TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON) |
Keywords | DocType | ISSN |
Big Data, IP/WDM, energy consumption, routing, distributed processing | Conference | 2162-7339 |
Citations | PageRank | References |
1 | 0.35 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ali m alsalim | 1 | 1 | 0.35 |
| Ahmed Q. Lawey | 2 | 19 | 7.99 |
| Taisir E. H. El-Gorashi | 3 | 37 | 12.43 |
| J. M.H. Elmirghani | 4 | 591 | 110.47 |