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Diffstat (limited to 'references.bib')
| -rw-r--r-- | references.bib | 19 |
1 files changed, 6 insertions, 13 deletions
diff --git a/references.bib b/references.bib index c039461..2426e3c 100644 --- a/references.bib +++ b/references.bib @@ -1284,9 +1284,8 @@ IoT use cases. Index Terms—IoT, Centralized management, Orchestration, ILP, Fo shorttitle = {Studying the energy consumption of data transfers in {Clouds}}, doi = {10.1109/CloudNet.2014.6968983}, abstract = {Energy consumption is one of the main limiting factors for designing large scale Clouds. Evaluating the energy consumption of Clouds networking architectures and providing multi-level views required by providers and users, is a challenging issue. In this paper, we show how to evaluate and understand network choices (protocols, topologies) in terms of contributions to the energy consumption of the global Cloud infrastructures. By applying the ECOFEN model (Energy Consumption mOdel For End-to-end Networks) and the corresponding simulation framework, we profile and analyze the energy consumption of data transfers in Clouds.}, - booktitle = {2014 {IEEE} 3rd {International} {Conference} on {Cloud} {Networking} ({CloudNet})}, + booktitle = {{IEEE} {Int.} {Conf.} on {Cloud} {Networking} ({CloudNet})}, author = {Cornea, B. F. and Orgerie, A. C. and Lefèvre, L.}, - month = oct, year = {2014}, keywords = {cloud computing, simulation, power aware computing, Bandwidth, Cloud data transfers, Color, data transfers, ECOFEN model, energy consumption, energy consumption model for end-to-end networks, ethernet networks, global cloud infrastructures, Ports (Computers), Routing protocols, Switches, Transport protocols}, pages = {143--148}, @@ -1688,13 +1687,8 @@ IoT use cases. Index Terms—IoT, Centralized management, Orchestration, ILP, Fo @inproceedings{heinrich_predicting_2017, title = {Predicting the {Energy}-{Consumption} of {MPI} {Applications} at {Scale} {Using} {Only} a {Single} {Node}}, - isbn = {978-1-5386-2326-8}, - url = {http://ieeexplore.ieee.org/document/8048921/}, - doi = {10.1109/CLUSTER.2017.66}, - urldate = {2018-06-15}, - publisher = {IEEE}, + booktitle = {IEEE Cluster Conference}, author = {Heinrich, Franz Christian and Cornebize, Tom and Degomme, Augustin and Legrand, Arnaud and Carpen-Amarie, Alexandra and Hunold, Sascha and Orgerie, Anne-Cecile and Quinson, Martin}, - month = sep, year = {2017}, pages = {92--102}, file = {Heinrich et al. - 2017 - Predicting the Energy-Consumption of MPI Applicati.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/CMDGJDPW/Heinrich et al. - 2017 - Predicting the Energy-Consumption of MPI Applicati.pdf:application/pdf} @@ -2401,9 +2395,8 @@ pages={2818-2823}, language = {en}, number = {5}, urldate = {2019-05-28}, - journal = {IEEE Journal on Selected Areas in Communications}, + journal = {IEEE J. on Selected Areas in Communications}, author = {Jalali, Fatemeh and Hinton, Kerry and Ayre, Robert and Alpcan, Tansu and Tucker, Rodney S.}, - month = may, year = {2016}, pages = {1728--1739}, file = {Jalali et al. - 2016 - Fog Computing May Help to Save Energy in Cloud Com.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/36J4R5W6/Jalali et al. - 2016 - Fog Computing May Help to Save Energy in Cloud Com.pdf:application/pdf} @@ -2448,10 +2441,10 @@ howpublished={\url{https://www.sandvine.com/phenomena}} @misc{Cisco2019, author = {Cisco}, -title = {{Cisco Visual Networking Index: Forecast and Trends, 2017–2022, White paper}}, +title = {{Cisco Visual Networking Index: Forecast and Trends, 2017–2022}}, year = {2019}, month = Feb, -howpublished = {\url{https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html}} +howpublished = {White paper} } @misc{ShiftProject, @@ -2515,7 +2508,7 @@ pages={2822-2846}, @ARTICLE{Zhang2016, author={Z. {Zhang} and Y. {Bejerano} and S. {Antonakopoulos}}, -journal={IEEE/ACM Transactions on Networking}, +journal={IEEE/ACM Trans. on Networking}, title={{Energy-Efficient IP Core Network Configuration Under General Traffic Demands}}, year={2016}, volume={24}, |