Name
Abstract | ||
|---|---|---|
Cloud service providers use replication across geographically distributed data centers to improve end-to-end performance as well as to offer high reliability under failures. Content replication often involves the transfer of huge data sets over the wide area network and demands high backbone transport capacity. In this paper, we discuss how a Globally Reconfigurable Intelligent Photonic Network (GRIPhoN) between data centers could improve operational flexibility for cloud service providers. The proposed GRIPhoN architecture is an extension of earlier work [34] and can provide a bandwidth-on-demand service ranging from low data rates (e.g., 1 Gbps) to high data rates (e.g., 10-40 Gbps). The inter-data center communication network which is currently statically provisioned could be dynamically configured based on demand. Today's backbone optical networks can take several weeks to provision a customer's private line connection. GRIPhoN would enable cloud operators to dynamically set up and tear down their connections (sub-wavelength or wavelength rates) within a few minutes. GRIPhoN also offers cost-effective restoration capabilities at wavelength rates and automated bridge-and-roll of private line connections to minimize the impact of planned maintenance activities. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2070562.2070586 | HotNets |
Keywords | Field | DocType |
cloud operator,low data rate,private line connection,data center,cloud service provider,inter-data center communication,high data rate,wavelength rate,bandwidth-on-demand service,huge data set,proposed griphon architecture,cost effectiveness,reliability,otn,service provider | Optical Transport Network,Telecommunications network,Private line,Computer science,Computer network,Provisioning,Bandwidth (signal processing),Wide area network,Data center,Cloud computing,Distributed computing | Conference |
Citations | PageRank | References |
35 | 2.47 | 17 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ajay Mahimkar | 1 | 206 | 17.45 |
| Angela Chiu | 2 | 43 | 3.72 |
| Robert Doverspike | 3 | 143 | 12.85 |
| Mark D. Feuer | 4 | 45 | 5.46 |
| Peter Magill | 5 | 43 | 3.47 |
| Emmanuil Mavrogiorgis | 6 | 37 | 3.47 |
| Jorge Pastor | 7 | 60 | 7.43 |
| Sheryl L. Woodward | 8 | 43 | 5.32 |
| Jennifer Yates | 9 | 790 | 64.51 |