Bibliography

Bibliography#

Dat: missing author in DataAge2025
Ene: Energy Aware Offloading for Competing Users on a Shared Communication Channel | IEEE Journals & Magazine | IEEE Xplore. https://ieeexplore.ieee.org/document/7425262.
Job: Job_Characteristics_on_Large-Scale_Systems_Long-Term_Analysis_Quantification_and_Implications.pdf. https://drive.google.com/file/d/1lRAGadltkrUhh2KV1lQxrOt_nYrGGfdF/view?usp=embed_facebook.
Nvi: Nvidia GPU. http://www.designlife-cycle.com/nvidia-gpu.
IoT: The IoT ecosystem in 2022: components, industry alliances and legal environments. https://www.thalesgroup.com/en/markets/digital-identity-and-security/iot/inspired/iot-building-blocks.
Whaa: What edge computing means for hardware companies | McKinsey. https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/new-demand-new-markets-what-edge-computing-means-for-hardware-companies?hlkid=9c60010d1b394427a06c47feb2e3401c&hctky=2618809&hdpid=1dbd559b-1690-4c8b-bc99-35b7ed7279a2.
Whab: What Raw Materials Are Used to Make Hardware in Computing Devices? https://www.engineering.com/story/what-raw-materials-are-used-to-make-hardware-in-computing-devices.
SDF: SD-Fabric.
Mic21: Microsoft Azure IoT Reference Architecture. https://azure.microsoft.com/en-us/resources/microsoft-azure-iot-reference-architecture/, April 2021.
Tre21: Trend Report: The Edge Compute Imperative. 2021.
WeN21: missing author in WeNR2021Release2021
IoT22: IoT Solution Architecture: Components and Design Tips. August 2022.
Hoe23: Hoe duurzaam zijn datacenters? https://insights.centric.eu/nl/themes/cloud/hoe-duurzaam-zijn-datacenters/, 2023.
IoT21: IoT Device Design. aug-2021.
Adl19: Ilan Adler. Orchestration at the Edge. December 2019.
AQ21: Susanne Albers and Jens Quedenfeld. Optimal Algorithms for Right-Sizing Data Centers- Extended Version. July 2021. arXiv:1807.05112.
AMKF18: Joshua Aslan, Kieren Mayers, Jonathan G. Koomey, and Chris France. Electricity Intensity of Internet Data Transmission: Untangling the Estimates. Journal of Industrial Ecology, 22(4):785–798, 2018. doi:10.1111/jiec.12630.
AGS+23: Itzhak Aviv, Ruti Gafni, Sofia Sherman, Berta Aviv, Asher Sterkin, and Etzik Bega. Infrastructure From Code: The Next Generation of Cloud Lifecycle Automation. IEEE Software, 40(1):42–49, January 2023. doi:10.1109/MS.2022.3209958.
BE18: Lotfi Belkhir and Ahmed Elmeligi. Assessing ICT global emissions footprint: Trends to 2040 & recommendations. Journal of Cleaner Production, 177:448–463, March 2018. doi:10.1016/j.jclepro.2017.12.239.
BBdeMontenay+21: Sofia Benqassem, Frederic Bordage, Lorraine de Montenay, Julie Delmas-Orgelet, Firmin Domon, Etienne Lees Perasso, Damien Prunel, and Caroline Vateau. Digital technologies in Europe: an environmental life cycle approach. Technical Report, GreenIT.fr, December 2021.
BBreitenbucherF+18: Alexander Bergmayr, Uwe Breitenbücher, Nicolas Ferry, Alessandro Rossini, Arnor Solberg, Manuel Wimmer, Gerti Kappel, and Frank Leymann. A Systematic Review of Cloud Modeling Languages. ACM Computing Surveys, 51(1):22:1–22:38, February 2018. doi:10.1145/3150227.
Biz19: Daniel Bizo. The carbon reduction opportunity of moving to Amazon Web Services. AWS, October, 2019. URL: https://d39w7f4ix9f5s9.cloudfront.net/e3/79/42bf75c94c279c67d777f002051f/carbon-reduction-opportunity-of-moving-to-aws.pdf.
CSM+22: Marcelo Pilotto Cenci, Tatiana Scarazzato, Daniel Dotto Munchen, Paula Cristina Dartora, Hugo Marcelo Veit, Andrea Moura Bernardes, and Pablo R. Dias. Eco-Friendly Electronics—A Comprehensive Review. Advanced Materials Technologies, 7(2):2001263, 2022. doi:10.1002/admt.202001263.
CJLF16: Xu Chen, Lei Jiao, Wenzhong Li, and Xiaoming Fu. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing. IEEE/ACM Transactions on Networking, 24(5):2795–2808, October 2016. doi:10.1109/TNET.2015.2487344.
Cos: Matthew Cosner. Azure IoT reference architecture - Azure Reference Architectures. https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/iot.
CRR+15: Philipp B. Costa, Paulo A. L. Rego, Lincoln S. Rocha, Fernando A. M. Trinta, and José N. de Souza. MpOS: a multiplatform offloading system. In Proceedings of the 30th Annual ACM Symposium on Applied Computing, SAC '15, 577–584. New York, NY, USA, April 2015. Association for Computing Machinery. doi:10.1145/2695664.2695945.
DFA+22: Mattia DAMIANI, Nicola FERRARA, Fulvio ARDENTE, and others. Understanding product environmental footprint and organisation environmental footprint methods. Publications Office of the European Union, 2022. doi:10.2760/11564.
DTU20: UNEP DTU. Greenhouse gas emissions in the ICT sector. March 2020.
Eco21: Ecoping. Why tree planting alone won't save the world. https://ecoping.earth/blog/why-tree-planting-alone-wont-save-the-world, November 2021.
FBD+19: Simone Fazio, Fabrizio Biganzoli, LAURENTIIS Valeria De, Luca Zampori, Serenella Sala, and Edward Diaconu. Supporting information to the characterisation factors of recommended EF Life Cycle Impact Assessment methods. https://publications.jrc.ec.europa.eu/repository/handle/JRC114822, January 2019. doi:10.2760/002447.
GS18: Bob Gill and David Smith. The edge completes the cloud: A gartner trend insight report. 2018.
Goo23: Google. Our Commitment to Sustainability. https://sustainability.google/commitments/, 2023.
GVDGB17: Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh, and Rajkumar Buyya. iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments. Software: Practice and Experience, 47(9):1275–1296, 2017. doi:10.1002/spe.2509.
HWW+19: Xiaoyan Hu, Lifeng Wang, Kai-Kit Wong, Yangyang Zhang, Zhongbin Zheng, and Meixia Tao. Edge and Central Cloud Computing: A Perfect Pairing for High Energy Efficiency and Low-latency. October 2019. arXiv:1806.08943.
HGY15: Chien-Chun Hung, Leana Golubchik, and Minlan Yu. Scheduling jobs across geo-distributed datacenters. In Proceedings of the Sixth ACM Symposium on Cloud Computing, SoCC '15, 111–124. New York, NY, USA, August 2015. Association for Computing Machinery. doi:10.1145/2806777.2806780.
IFB+18: Michaela Iorga, Larry Feldman, Robert Barton, Michael J. Martin, Nedim S. Goren, and Charif Mahmoudi. Fog Computing Conceptual Model. NIST, March 2018.
JCG+19: Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, and Jian Wan. Toward Computation Offloading in Edge Computing: A Survey. IEEE Access, 7:131543–131558, 2019. doi:10.1109/ACCESS.2019.2938660.
JFG+20: Congfeng Jiang, Tiantian Fan, Honghao Gao, Weisong Shi, Liangkai Liu, Christophe Cérin, and Jian Wan. Energy aware edge computing: A survey. Computer Communications, 151:556–580, February 2020. doi:10.1016/j.comcom.2020.01.004.
JWO+17: Congfeng Jiang, Yumei Wang, Dongyang Ou, Bing Luo, and Weisong Shi. Energy Proportional Servers: Where Are We in 2016? In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 1649–1660. June 2017. doi:10.1109/ICDCS.2017.285.
Kam10: Poul-Henning Kamp. You're Doing It Wrong: Think you've mastered the art of server performance? Think again. Queue, 8(6):20–27, June 2010. doi:10.1145/1810226.1814327.
KHKC17: Seung-Woo Ko, Kaibin Huang, Seong-Lyun Kim, and Hyukjin Chae. Live Prefetching for Mobile Computation Offloading. IEEE Transactions on Wireless Communications, 16(5):3057–3071, May 2017. doi:10.1109/TWC.2017.2674665.
KPCT20: Vasileios Kotsiou, Georgios Z. Papadopoulos, Periklis Chatzimisios, and Fabrice Theoleyre. LDSF: Low-Latency Distributed Scheduling Function for Industrial Internet of Things. IEEE Internet of Things Journal, 7(9):8688–8699, September 2020. doi:10.1109/JIOT.2020.2995499.
Ku18: Anthony Y. Ku. Anticipating critical materials implications from the Internet of Things (IOT): Potential stress on future supply chains from emerging data storage technologies. Sustainable Materials and Technologies, 15:27–32, April 2018. doi:10.1016/j.susmat.2017.10.001.
LPCX18: Zhenying Li, Xiaohui Peng, Lu Chao, and Zhiwei Xu. EveryLite: A Lightweight Scripting Language for Micro Tasks in IoT Systems. In 2018 IEEE/ACM Symposium on Edge Computing (SEC), 381–386. October 2018. doi:10.1109/SEC.2018.00050.
LCLH15: Ying-Dar Lin, Edward T.-H. Chu, Yuan-Cheng Lai, and Ting-Jun Huang. Time-and-Energy-Aware Computation Offloading in Handheld Devices to Coprocessors and Clouds. IEEE Systems Journal, 9(2):393–405, June 2015. doi:10.1109/JSYST.2013.2289556.
LCG+18: Liqing Liu, Zheng Chang, Xijuan Guo, Shiwen Mao, and Tapani Ristaniemi. Multiobjective Optimization for Computation Offloading in Fog Computing. IEEE Internet of Things Journal, 5(1):283–294, February 2018. doi:10.1109/JIOT.2017.2780236.
LXZ+17: Yang Liu, Changqiao Xu, Yufeng Zhan, Zhixin Liu, Jianfeng Guan, and Hongke Zhang. Incentive mechanism for computation offloading using edge computing: A Stackelberg game approach. Computer Networks, 129:399–409, December 2017. doi:10.1016/j.comnet.2017.03.015.
Maagoe20: Viegand Maagøe. ICT Impact study. Technical Assistance, Van Holsteijn en Kemna B.V., July 2020.
MB17: Pavel Mach and Zdenek Becvar. Mobile Edge Computing: A Survey on Architecture and Computation Offloading. IEEE Communications Surveys & Tutorials, 19(3):1628–1656, 2017. doi:10.1109/COMST.2017.2682318.
Mar20: Silvio Marcacci. How Much Energy Do Data Centers Really Use? https://energyinnovation.org/2020/03/17/how-much-energy-do-data-centers-really-use/, March 2020.
MSL+20a: Eric Masanet, Arman Shehabi, Nuoa Lei, Sarah Smith, and Jonathan Koomey. Recalibrating global data center energy-use estimates. Science, 367(6481):984–986, February 2020. doi:10.1126/science.aba3758.
MSL+20b: Eric Masanet, Arman Shehabi, Nuoa Lei, Sarah Smith, and Jonathan Koomey. Recalibrating global data center energy-use estimates. Science, 367(6481):984–986, February 2020. doi:10.1126/science.aba3758.
MGN+17: Christian Meurisch, Julien Gedeon, The An Binh Nguyen, Fabian Kaup, and Max Muhlhauser. Decision Support for Computational Offloading by Probing Unknown Services. In 2017 26th International Conference on Computer Communication and Networks (ICCCN), 1–9. July 2017. doi:10.1109/ICCCN.2017.8038406.
Moc06: Dennis Mocigemba. Sustainable Computing. Poiesis & Praxis, 4:163–184, September 2006. doi:10.1007/s10202-005-0018-8.
MWTHullermeier21: Felix Mohr, Marcel Wever, Alexander Tornede, and Eyke Hüllermeier. Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(9):3055–3066, September 2021. doi:10.1109/TPAMI.2021.3056950.
MSOToole+22: Sam Mokhtari, Brendan Sisson, Margaret O'Toole, Steffen Grunwald, Ryan Eccles, Rodney Lester, Adrian Cockcroft, Ian Meyers, and Brian Carlson. Sustainability Pillar - AWS Well-Architected Framework - Sustainability Pillar. https://docs.aws.amazon.com/wellarchitected/latest/sustainability-pillar/sustainability-pillar.html, December 2022.
MAT20: Manoj Muniswamaiah, Tilak Agerwala, and Charles C. Tappert. Green computing for Internet of Things. In 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), 182–185. August 2020. doi:10.1109/CSCloud-EdgeCom49738.2020.00039.
NTSB18: Adel Nadjaran Toosi, Richard O. Sinnott, and Rajkumar Buyya. Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka. Future Generation Computer Systems, 79:765–775, February 2018. doi:10.1016/j.future.2017.05.042.
NSA14: Jianwei Niu, Wenfang Song, and Mohammed Atiquzzaman. Bandwidth-adaptive partitioning for distributed execution optimization of mobile applications. Journal of Network and Computer Applications, 37:334–347, January 2014. doi:10.1016/j.jnca.2013.03.007.
Pop16: Daniel Pop. Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions. March 2016. arXiv:1603.08767, doi:10.48550/arXiv.1603.08767.
RMasipBruinMarinTordera+17: W. Ramirez, X. Masip-Bruin, E. Marin-Tordera, V. B. C. Souza, A. Jukan, G-J. Ren, and O. Gonzalez de Dios. Evaluating the benefits of combined and continuous Fog-to-Cloud architectures. Computer Communications, 113:43–52, November 2017. doi:10.1016/j.comcom.2017.09.011.
RCC+17: Paulo A. L. Rego, Elaine Cheong, Emanuel F. Coutinho, Fernando A. M. Trinta, Masum Z. Hasan, and Jose N. de Souza. Decision Tree-Based Approaches for Handling Offloading Decisions and Performing Adaptive Monitoring in MCC Systems. In 2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 74–81. April 2017. doi:10.1109/MobileCloud.2017.19.
RGR17: David Reinsel, John Gantz, and John Rydning. Data Age 2025: The Evolution of Data to Life-Critical. Don't Focus on Big Data, April 2017.
RGR18: missing journal in reinselDigitizationWorldEdge2018
RGXZ17: Ju Ren, Hui Guo, Chugui Xu, and Yaoxue Zhang. Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing. IEEE Network, 31(5):96–105, 2017. doi:10.1109/MNET.2017.1700030.
RRG18: David Reinsel-John Gantz-John Rydning, J Reinsel, and J Gantz. The digitization of the world from edge to core. Framingham: International Data Corporation, 2018.
Sah14: Biswajit Saha. Green computing. International Journal of Computer Trends and Technology (IJCTT), 14(2):46–50, 2014.
SCP18: Serenella Sala, Alessandro Cerutti, and Rana Pant. Development of a weighting approach for the Environmental Footprint. https://publications.jrc.ec.europa.eu/repository/handle/JRC106545, April 2018. doi:10.2760/945290.
SandobalinIAbrahao20: Julio Sandobalín, Emilio Insfran, and Silvia Abrahão. On the Effectiveness of Tools to Support Infrastructure as Code: Model-Driven Versus Code-Centric. IEEE Access, 8:17734–17761, 2020. doi:10.1109/ACCESS.2020.2966597.
SMSH17: Eddie Antonio Santos, Carson McLean, Christopher Solinas, and Abram Hindle. How does Docker affect energy consumption? Evaluating workloads in and out of Docker containers. May 2017. arXiv:1705.01176.
SSC+17: W. Shi, H. Sun, J. Cao, Q. Zhang, and W. Liu. Edge Computing-An Emerging Computing Model for the Internet of Everything Era. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 54:907–924, May 2017. doi:10.7544/issn1000-1239.2017.20160941.
SCZ+16: Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. Edge Computing: Vision and Challenges. IEEE Internet of Things Journal, 3(5):637–646, October 2016. doi:10.1109/JIOT.2016.2579198.
TLH+16: Mati B. Terefe, Heezin Lee, Nojung Heo, Geoffrey C. Fox, and Sangyoon Oh. Energy-efficient multisite offloading policy using Markov decision process for mobile cloud computing. Pervasive and Mobile Computing, 27:75–89, April 2016. doi:10.1016/j.pmcj.2015.10.008.
TFS+20: Daniele Tovazzi, Francescomaria Faticanti, Domenico Siracusa, Claudio Peroni, Silvio Cretti, and Tommaso Gazzini. GEM-Analytics: Cloud-to-Edge AI-Powered Energy Management. In Karim Djemame, Jörn Altmann, José Ángel Bañares, Orna Agmon Ben-Yehuda, Vlado Stankovski, and Bruno Tuffin, editors, Economics of Grids, Clouds, Systems, and Services, Lecture Notes in Computer Science, 57–66. Cham, 2020. Springer International Publishing. doi:10.1007/978-3-030-63058-4\_5.
VB18: Blesson Varghese and Rajkumar Buyya. Next generation cloud computing: New trends and research directions. Future Generation Computer Systems, 79:849–861, February 2018. doi:10.1016/j.future.2017.09.020.
VWK+20: Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, and Jan S. Rellermeyer. A Survey on Distributed Machine Learning. ACM Computing Surveys, 53(2):30:1–30:33, March 2020. doi:10.1145/3377454.
Wal20a: Noelle Walsh. The Carbon Benefits of Cloud Computing: a Study of the Microsoft Cloud. Technical Report, Microsoft, 2020. URL: https://www.microsoft.com/en-us/download/details.aspx?id=56950 (visited on 2023-01-30).
Wal20b: Noelle Walsh. Microsoft Sustainability Calculator helps enterprises analyze the carbon emissions of their IT infrastructure. January 2020.
WL04: Cheng Wang and Zhiyuan Li. A computation offloading scheme on handheld devices. Journal of Parallel and Distributed Computing, 64(6):740–746, June 2004. doi:10.1016/j.jpdc.2003.10.005.
Wan08: David Wang. Meeting Green Computing Challenges. In 2008 10th Electronics Packaging Technology Conference, 121–126. December 2008. doi:10.1109/EPTC.2008.4763421.
WVMN20: Nan Wang, Blesson Varghese, Michail Matthaiou, and Dimitrios S. Nikolopoulos. ENORM: A Framework For Edge NOde Resource Management. IEEE Transactions on Services Computing, 13(6):1086–1099, November 2020. doi:10.1109/TSC.2017.2753775.
WWWC17: Xiumin Wang, Jin Wang, Xin Wang, and Xiaoming Chen. Energy and Delay Tradeoff for Application Offloading in Mobile Cloud Computing. IEEE Systems Journal, 11(2):858–867, June 2017. doi:10.1109/JSYST.2015.2466617.
WSW+16: Yanting Wang, Min Sheng, Xijun Wang, Liang Wang, and Jiandong Li. Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling. IEEE Transactions on Communications, 64(10):4268–4282, October 2016. doi:10.1109/TCOMM.2016.2599530.
Wil04: Eric Williams. Energy Intensity of Computer Manufacturing: Hybrid Assessment Combining Process and Economic Input-Output Methods. Environmental Science & Technology, 38(22):6166–6174, November 2004. doi:10.1021/es035152j.
XR16: Jie Xu and Shaolei Ren. Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing. September 2016. arXiv:1609.05087.
YLC+17: Lei Yang, Bo Liu, Jiannong Cao, Yuvraj Sahni, and Zhenyu Wang. Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds. In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 246–253. June 2017. doi:10.1109/CLOUD.2017.39.
YHCK17: Changsheng You, Kaibin Huang, Hyukjin Chae, and Byoung-Hoon Kim. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading. IEEE Transactions on Wireless Communications, 16(3):1397–1411, March 2017. doi:10.1109/TWC.2016.2633522.
Zam19: missing journal in zamporiSuggestionsUpdatingOrganisation2019
ZP19: missing journal in zamporiSuggestionsUpdatingProduct2019
ZZZ+16: Quan Zhang, Xiaohong Zhang, Qingyang Zhang, Weisong Shi, and Hong Zhong. Firework: Big Data Sharing and Processing in Collaborative Edge Environment. In 2016 Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb), 20–25. October 2016. doi:10.1109/HotWeb.2016.12.
ZB18: Bowen Zhou and Rajkumar Buyya. Augmentation Techniques for Mobile Cloud Computing: A Taxonomy, Survey, and Future Directions. ACM Computing Surveys, 51(1):13:1–13:38, January 2018. doi:10.1145/3152397.
ZYCK17a: Yuchen Zhou, F. Richard Yu, Jian Chen, and Yonghong Kuo. Resource Allocation for Information-Centric Virtualized Heterogeneous Networks With In-Network Caching and Mobile Edge Computing. IEEE Transactions on Vehicular Technology, 66(12):11339–11351, December 2017. doi:10.1109/TVT.2017.2737028.
ZYCK17b: Yuchen Zhou, F. Richard Yu, Jian Chen, and Yonghong Kuo. Resource Allocation for Information-Centric Virtualized Heterogeneous Networks With In-Network Caching and Mobile Edge Computing. IEEE Transactions on Vehicular Technology, 66(12):11339–11351, December 2017. doi:10.1109/TVT.2017.2737028.
httpswwwbcgcomaboutpeopleexpertsjanhmohr23a: https://www.bcg.com/about/people/experts/jan-hinnerk-mohr. For Chip Makers, the Decarbonization Challenge Lies Upstream. https://www.bcg.com/publications/2023/why-chip-makers-need-to-focus-on-the-upcoming-decarbonization-challenges, May 2023.
httpswwwbcgcomaboutpeopleexpertsjanhmohr23b: https://www.bcg.com/about/people/experts/jan-hinnerk-mohr. For Chipmakers, the Decarbonization Challenge Lies Upstream. https://www.bcg.com/publications/2023/why-chipmakers-need-to-focus-on-the-upcoming-decarbonization-challenges, May 2023.
MasipBruinMarinTorderaJR18: Xavi Masip-Bruin, Eva Marin-Tordera, Admela Jukan, and Guang-Jie Ren. Managing resources continuity from the edge to the cloud: Architecture and performance. Future Generation Computer Systems, 79:777–785, February 2018. doi:10.1016/j.future.2017.09.036.
QuisbertTrujillo: missing journal in quisbert-trujilloDesignMethodologySustainable