Name
Abstract | ||
|---|---|---|
In this paper, we study the impact of big data's volume and variety dimensions on energy efficient big data networks (EEBDN) by developing a mixed integer linear programming (MILP) model to encapsulate the distinctive features of these two dimensions. First, a progressive energy efficient edge, intermediate, and central processing technique is proposed to process big data's raw traffic by building... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNSM.2017.2787624 | IEEE Transactions on Network and Service Management |
Keywords | Field | DocType |
Big Data,Energy efficiency,Power demand,Software,IP networks,Wavelength division multiplexing | Wavelength-division multiplexing,Power saving,Heuristic,Computer science,Efficient energy use,Software availability,Integer programming,Software,Big data,Distributed computing | Journal |
Volume | Issue | ISSN |
15 | 1 | 1932-4537 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali M. Al-Salim | 1 | 2 | 0.38 |
| Ahmed Q. Lawey | 2 | 19 | 7.99 |
| El-Gorashi, T.E.H. | 3 | 23 | 15.35 |
| J. M.H. Elmirghani | 4 | 591 | 110.47 |