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Invited Paper: Improving Data Center Efficiency Through Holistic Scheduling In Kubernetes

Paul Townend, Stephen Clement, Dan Burdett, Renyu Yang, Joe Shaw, Brad Slater, Jie Xu
2019 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE)  
We show that by introducing hardware modelling into a software-based solution, an intelligent scheduler can make significant improvements in data center efficiency.  ...  We describe a holistic scheduling system that replaces the default scheduler in the Kubernetes container system, taking into account both software and hardware models.  ...  ACKNOWLEDGMENTS We would like to thank RISE SICS North for their support and the provision of time and servers in their ICE data center.  ... 
doi:10.1109/sose.2019.00030 dblp:conf/sose/TownendCBYSS019 fatcat:ujgjw26uxrdwnaxikc3ykebptq

Table of contents

2019 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE)  
Paper: Improving Data Center Efficiency Through Holistic Scheduling In Kubernetes 156 Paul Townend (Edgetic), Stephen Clement (Edgetic), Dan Burdett (Edgetic), Renyu Yang (Edgetic), Joe Shaw (Edgetic  ...  Blockchain System Design and Engineering Invited Paper: Beagle: A New Framework for Smart Contracts Taking Account of Law 134 Container-Based Module Isolation for Cloud Services 177 Stefan Kehrer (Reutlingen  ... 
doi:10.1109/sose.2019.00004 fatcat:mws7qn6b5reodewgdg2qsukeyu

Edge computing for 5G networks - white paper

David Artuñedo Guillen, Bessem Sayadi, Pascal Bisson, Jean Phillippe Wary, Håkon Lonsethagen, Carles Antón, Antonio de la Oliva, Alexandros Kaloxylos, Valerio Frascolla
2020 Zenodo  
Moreover, the white paper provides an in-depth analysis of Edge solutions that have been selected, deployed and validated by 17 different EU funded 5G PPP projects.  ...  The 5G PPP Initiative and the 5GIA are happy to present a new white paper entitled "Edge Computing for 5G Networks".  ...  We invite the reader to read more detail in this link 56 .  ... 
doi:10.5281/zenodo.4555780 fatcat:sg62p5agq5c75hsbr2hyb4vkqe

Edge computing for 5G networks - white paper

David Artuñedo Guillen, Bessem Sayadi, Pascal Bisson, Jean Phillippe Wary, Håkon Lonsethagen, Carles Antón, Antonio de la Oliva, Alexandros Kaloxylos, Valerio Frascolla
2020 Zenodo  
Moreover, the white paper provides an in-depth analysis of Edge solutions that have been selected, deployed and validated by 17 different EU funded 5G PPP projects.  ...  The 5G PPP Initiative and the 5GIA are happy to present a new white paper entitled "Edge Computing for 5G Networks".  ...  We invite the reader to read more detail in this link 56 .  ... 
doi:10.5281/zenodo.3698117 fatcat:zjbuceqquzfchcylpgacwgxjpa

From Webscale To Telco, The Cloud Native Journey

Bessem Sayadi, Nikos Stasinopoulos, Bilal Al Jammal, Thomas Deiss, Athina Ropodi, Ilhem Fajjari, Cristian Patachia, David Griffin, David Breitgand, Josep Martrat, Ricard Vilalta, Shuaib Siddiqui (+1 others)
2018 Zenodo  
The 5G Software Network Working Group as part of the 5G-PPP Initiative prepared this white paper (WP) to provide first insights and trigger discussions about 5G cloud-native design.  ...  The shift from the cloud ready to cloud native, from VM to container, from MANO to Kubernetes, etc is a must have to avoid the risk that 5G remains a niche connectivity gap-filler largely ignored by cloud  ...  Data Centers and clusters span multiple geographical locations.  ... 
doi:10.5281/zenodo.1306414 fatcat:hmfhoeihordaxjrqkrbmumjsuu

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges [article]

Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila (+4 others)
2019 arXiv   pre-print
Further, we identify several technologies driving these paradigms and invite international experts to discuss the current status and future directions of cloud computing.  ...  Cloud computing plays a critical role in modern society and enables a range of applications from infrastructure to social media.  ...  Acknowledgments We would like to thank the editor, area editor and anonymous reviewers for their valuable comments and suggestions to help and improve our research paper.  ... 
arXiv:1911.01941v1 fatcat:seyqgzhqk5cwfdaav2dcjpv254

D1.1 - State of the Art Analysis

Danilo Ardagna
2021 Zenodo  
), providing resource efficiency, performance, data privacy, and security guarantees.  ...  We also extensively discuss existing solutions for applications deployment, monitoring, runtime management, and scheduling considering the emerging Function as a Service paradigm.  ...  GPU scheduling in HPC is also considered in [Reaño2017] : it improves resource usage through an optimized scheduling algorithm allowing multiple applications to share the same GPU.  ... 
doi:10.5281/zenodo.6372377 fatcat:f6ldfuwivbcltew4smiiwphfty

The LBNL Superfacility Project Report [article]

Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark Day (+15 others)
2022 arXiv   pre-print
in hardware, software, policies, and services across multiple science domains.  ...  In several cases, we have gone beyond demonstrations and now provide production-level services.  ...  Scientific Computing Center (NERSC), a U.S.  ... 
arXiv:2206.11992v2 fatcat:j7peffkrv5ebzexnkhiwmzynpe

Machine Learning Meets Communication Networks: Current Trends and Future Challenges

Ijaz Ahmad, Shariar Shahabuddin, Hassan Malik, Erkki Harjula, Teemu Leppanen, Lauri Loven, Antti Anttonen, Ali Hassan Sodhro, Muhammad Mahtab Alam, Markku Juntti, Antti Yla-Jaaski, Thilo Sauter (+3 others)
2020 IEEE Access  
Along with the improvement in communication technologies, several disciplines with distinct algorithms and tools have emerged in ML.  ...  Interesting insights into the future of using ML for communication networks are provided in Section IX, and the paper is concluded in Section X.  ...  in a timely fashion to improve through online training.  ... 
doi:10.1109/access.2020.3041765 fatcat:erbcetvcrjabrl4qloow3dqcai

Softwarization of 5G Networks – Implications to Open Platforms and Standardizations

David Lake, Ning Wang, Rahim Tafazolli, Louis Samuel
2021 IEEE Access  
as a means of improving data throughput, but in the case of a container-based solution, this data-path is not "owned" by the VNF but by the hosting system.  ...  Second, there is the question of whether the data-plane technology can support the throughput required in order to both deliver data through the VNF and on to the next VNF.  ...  He is regularly invited by governments to advice on national 5G research and strategy and to deliver keynote talks and distinguished lectures to international conferences and workshops.  ... 
doi:10.1109/access.2021.3071649 fatcat:2nmuasyqdfb4xc4wpeqeodqvom

Decentralized IoT Edge Nanoservice Architecture for Future Gadget-Free Computing

Erkki Harjula, Pekka Karhula, Johirul Islam, Teemu Leppanen, Ahsan Manzoor, Madhusanka Liyanage, Chauhan Jagmohan, Tanesh Kumar, Ijaz Ahmad, Mika Ylianttila
2019 IEEE Access  
Hence, in this article we propose a novel service model called nanoEdge, where nodes collaboratively provide needed functions for virtual services that need to be deployed locally due to performance, efficiency  ...  In the envisioned ubiquitous world, services will follow users as they move across smart surroundings.  ...  Jude Okwuibe for his assistance in writing the article. This work has been performed under the framework of MEC-AI, Industrial Edge, WiFiUS Massive IoT and 6Genesis Flagship projects.  ... 
doi:10.1109/access.2019.2936714 fatcat:o4fnx4zixzgdhk66twwxnxwidy

DAEMON Deliverable 6.1: Communication, dissemination and exploitation plan (CoDEP) for Y1

Andres Garcia-Saavedra, Xi Li, Alexandros Kostopoulos, George Iosifidis, Danny De Vleeschauwer, Chia-Yu Chang, Lidia Fuentes, Daniel-Jesus Munoz, Brendan McAuliffe, Paul Sutton, Andra Lutu, Marco Gramaglia (+6 others)
2021 Zenodo  
In general, this will be done through publications, and participation and organization of technical events.  ...  This includes explaining its research in layman's terms to the media and the public.  ...  centers.  ... 
doi:10.5281/zenodo.4975238 fatcat:3exmyy6aojbwfm3ujy7oujwhqq

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  Hope that through our practices to promote the capacity of development, integration and utilization of marine data resources.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

FogFrame: a framework for IoT application execution in the fog

Olena Skarlat, Stefan Schulte
2021 PeerJ Computer Science  
case of overloads, services are migrated in order to release resources.  ...  In this work, we design and implement the fog computing framework FogFrame—a system able to manage and monitor edge and cloud resources in fog landscapes and to execute Internet of Things (IoT) applications  ...  Their work is a good example of holistic and detailed experiments.  ... 
doi:10.7717/peerj-cs.588 fatcat:7e22wvhczvbepabs5qpw2knvau

D2.1 - User and Ecosystem Requirements and Methodology

Christian Brossette, Norbert Graf, Federico Álvarez, Alberto Tozzi, Pilar Gangas, Diana López
2021 Zenodo  
Some key aspects of the ecosystem user requirements were collected through a stakeholder survey.  ...  in trial-centered patient cohort identification and more than 90% in patient-centered trial recommendation, while keeping the precision at a manageable level 3.)  ...  With all the data available to the data scientist, they can more efficiently adopt new ideas and find errors.  ... 
doi:10.5281/zenodo.5639135 fatcat:xbpto7sib5amjp543e4scabale
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