conclusion

1 files changed, 5 insertions, 20 deletions

diff --git a/references.bib b/references.bib
index 2ff4a07..7eb2d63 100644
--- a/references.bib
+++ b/references.bib
@@ -1199,16 +1199,8 @@ IoT use cases. Index Terms—IoT, Centralized management, Orchestration, ILP, Fo
 @inproceedings{mahadevan_power_2009,
 	series = {Lecture {Notes} in {Computer} {Science}},
 	title = {A {Power} {Benchmarking} {Framework} for {Network} {Devices}},
-	isbn = {978-3-642-01398-0 978-3-642-01399-7},
-	url = {https://link.springer.com/chapter/10.1007/978-3-642-01399-7_62},
-	doi = {10.1007/978-3-642-01399-7_62},
-	abstract = {Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. Researchers have proposed several strategies for energy management of networking devices. However, we need a comprehensive characterization of power consumption by a variety of switches and routers to accurately quantify the savings from the various power savings schemes. In this paper, we first describe the hurdles in network power instrumentation and present a power measurement study of a variety of networking gear such as hubs, edge switches, core switches, routers and wireless access points in both stand-alone mode and a production data center. We build and describe a benchmarking suite that will allow users to measure and compare the power consumed for a large set of common configurations at any switch or router of their choice. We also propose a network energy proportionality index, which is an easily measurable metric, to compare power consumption behaviors of multiple devices.},
-	language = {en},
-	urldate = {2018-01-26},
-	booktitle = {{NETWORKING} 2009},
-	publisher = {Springer, Berlin, Heidelberg},
+	booktitle = {{NETWORKING}},
 	author = {Mahadevan, Priya and Sharma, Puneet and Banerjee, Sujata and Ranganathan, Parthasarathy},
-	month = may,
 	year = {2009},
 	pages = {795--808},
 	file = {Mahadevan et al. - 2009 - A Power Benchmarking Framework for Network Devices.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7M3E6ARS/Mahadevan et al. - 2009 - A Power Benchmarking Framework for Network Devices.pdf:application/pdf;Snapshot:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7AHE5AUI/978-3-642-01399-7_62.html:text/html}
@@ -1217,7 +1209,6 @@ IoT use cases. Index Terms—IoT, Centralized management, Orchestration, ILP, Fo
 @inproceedings{orgerie_ecofen:_2011,
 	title = {{ECOFEN}: {An} {End}-to-end energy {Cost} {mOdel} and simulator {For} {Evaluating} power consumption in large-scale {Networks}},
 	shorttitle = {{ECOFEN}},
-	doi = {10.1109/WoWMoM.2011.5986203},
 	abstract = {Wired networks are increasing in size and their power consumption is becoming a matter of concern. Evaluating the end-to-end electrical cost of new network architectures and protocols is difficult due to the lack of monitored realistic infrastructures. We propose an End-to-End energy Cost mOdel and simulator For Evaluating power consumption in large-scale Networks (ECOFEN) whose user's entries are the network topology and traffic. Based on configurable measurement of different network components (routers, switches, NICs, etc.), it provides the power consumption of the overall network including the end-hosts as well as the power consumption of each equipment over time.},
 	booktitle = {2011 {IEEE} {International} {Symposium} on a {World} of {Wireless}, {Mobile} and {Multimedia} {Networks}},
 	author = {Orgerie, A. C. and Lefèvre, L. and Guérin-Lassous, I. and Pacheco, D. M. Lopez},
@@ -1643,8 +1634,7 @@ IoT use cases. Index Terms—IoT, Centralized management, Orchestration, ILP, Fo
 
 @inproceedings{sivaraman_profiling_2011,
 	title = {Profiling per-packet and per-byte energy consumption in the {NetFPGA} {Gigabit} router},
-	booktitle = {Computer {Communications} {Workshops} ({INFOCOM} {WKSHPS}), 2011 {IEEE} {Conference} on},
-	publisher = {IEEE},
+	booktitle = {IEEE INFOCOM Workshops},
 	author = {Sivaraman, Vijay and Vishwanath, Arun and Zhao, Zhi and Russell, Craig},
 	year = {2011},
 	pages = {331--336},
@@ -2292,8 +2282,6 @@ ALGOL 68 is substantially different from ALGOL 60 and was not well received, so
 	volume = {87},
 	issn = {0167739X},
 	shorttitle = {End-to-end energy models for {Edge} {Cloud}-based {IoT} platforms},
-	url = {https://linkinghub.elsevier.com/retrieve/pii/S0167739X17314309},
-	doi = {10.1016/j.future.2017.12.048},
 	abstract = {Internet of Things (IoT) is bringing an increasing number of connected devices that have a direct impact on the growth of data and energy-hungry services. These services are relying on Cloud infrastructures for storage and computing capabilities, transforming their architecture into more a distributed one based on edge facilities provided by Internet Service Providers (ISP). Yet, between the IoT device, communication network and Cloud infrastructure, it is unclear which part is the largest in terms of energy consumption. In this paper, we provide end-to-end energy models for Edge Cloud-based IoT platforms. These models are applied to a concrete scenario: data stream analysis produced by cameras embedded on vehicles. The validation combines measurements on real test-beds running the targeted application and simulations on well-known simulators for studying the scaling-up with an increasing number of IoT devices. Our results show that, for our scenario, the edge Cloud part embedding the computing resources consumes 3 times more than the IoT part comprising the IoT devices and the wireless access point.},
 	language = {en},
 	urldate = {2019-05-20},
@@ -2316,7 +2304,6 @@ ALGOL 68 is substantially different from ALGOL 60 and was not well received, so
 
 @techreport{shehabi_united_2016-1,
 	title = {United {States} {Data} {Center} {Energy} {Usage} {Report}},
-	url = {http://www.osti.gov/servlets/purl/1372902/},
 	language = {en},
 	number = {LBNL--1005775, 1372902},
 	urldate = {2019-05-23},
@@ -2407,8 +2394,6 @@ pages={2818-2823},
 	title = {Fog {Computing} {May} {Help} to {Save} {Energy} in {Cloud} {Computing}},
 	volume = {34},
 	issn = {0733-8716},
-	url = {http://ieeexplore.ieee.org/document/7439752/},
-	doi = {10.1109/JSAC.2016.2545559},
 	abstract = {Tiny computers located in end-user premises are becoming popular as local servers for Internet of Things (IoT) and Fog computing services. These highly distributed servers that can host and distribute content and applications in a peer-to-peer (P2P) fashion are known as nano data centers (nDCs). Despite the growing popularity of nano servers, their energy consumption is not well-investigated. To study energy consumption of nDCs, we propose and use flow-based and time-based energy consumption models for shared and unshared network equipment, respectively. To apply and validate these models, a set of measurements and experiments are performed to compare energy consumption of a service provided by nDCs and centralized data centers (DCs). A number of findings emerge from our study, including the factors in the system design that allow nDCs to consume less energy than its centralized counterpart. These include the type of access network attached to nano servers and nano server’s time utilization (the ratio of the idle time to active time). Additionally, the type of applications running on nDCs and factors such as number of downloads, number of updates, and amount of preloaded copies of data influence the energy cost. Our results reveal that number of hops between a user and content has little impact on the total energy consumption compared to the above-mentioned factors. We show that nano servers in Fog computing can complement centralized DCs to serve certain applications, mostly IoT applications for which the source of data is in end-user premises, and lead to energy saving if the applications (or a part of them) are off-loadable from centralized DCs and run on nDCs.},
 	language = {en},
 	number = {5},
@@ -2435,7 +2420,7 @@ pages={2818-2823},
 @inproceedings{Samie2016,
  author = {Samie, Farzad and Bauer, Lars and Henkel, J\"{o}rg},
  title = {IoT Technologies for Embedded Computing: A Survey},
- booktitle = {IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES)},
+ booktitle = {IEEE/ACM/IFIP CODES},
  year = {2016},
 }
 
@@ -2500,14 +2485,14 @@ pages={1429-1437},
 
 @ARTICLE{Ehsan, 
 author={E. {Ahvar} and A.-C. {Orgerie} and A. {Lebre}}, 
-journal={IEEE Transactions on Sustainable Computing}, 
+journal={IEEE Trans. on Sust. Comp.}, 
 title={Estimating Energy Consumption of Cloud, Fog and Edge Computing Infrastructures}, 
 year={2019}, 
 }
 
 @ARTICLE{Serrano2015, 
 author={P. {Serrano} and A. {Garcia-Saavedra} and G. {Bianchi} and A. {Banchs} and A. {Azcorra}}, 
-journal={IEEE/ACM Transactions on Networking}, 
+journal={IEEE/ACM Trans. on Net.}, 
 title={{Per-Frame Energy Consumption in 802.11 Devices and Its Implication on Modeling and Design}}, 
 year={2015}, 
 volume={23},