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Energy Efficient Cloud Control and Pricing in Geographically Distributed Data Centers [article]

Dražen Lučanin
2018 arXiv   pre-print
Existing cloud control methods are suitable only for a single data center or do not consider all the available cloud control actions that can reduce energy costs in geographically distributed data centers  ...  We also propose novel pricing schemes which account for the computational resource availability and costs that arise from our cloud control approach to enable both flexible, energy-aware and high performance  ...  Acknowledgements The research leading to this thesis has received funding from the following projects: (1) the "Holistic Energy Efficient Approach for the Management of Hybrid Clouds" (HALEY) project,  ... 
arXiv:1809.05853v1 fatcat:tcz67rvylfbbxblqamyb7otc4e

Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service

Marco Antonio Tangaro, Pietro Mandreoli, Matteo Chiara, Giacinto Donvito, Marica Antonacci, Antonio Parisi, Angelica Bianco, Angelo Romano, Daniela Manila Bianchi, Davide Cangelosi, Paolo Uva, Ivan Molineris (+9 others)
2021 BMC Bioinformatics  
Background Improving the availability and usability of data and analytical tools is a critical precondition for further advancing modern biological and biomedical research.  ...  By facilitating the set-up and configuration of Galaxy web servers, Laniakea provides researchers with a powerful and highly customisable platform for executing complex bioinformatics analyses.  ...  Acknowledgements The authors thank ELIXIR-Italy and ReCaS-Bari for providing the computing and bioinformatics facilities.  ... 
doi:10.1186/s12859-021-04401-3 pmid:34749633 pmcid:PMC8574934 fatcat:jszcn3pt4zdxxddlhw7qm5d3su

Genetic improvement of GPU software

William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman
2016 Genetic Programming and Evolvable Machines  
Finally, experiments with the pknotsRG program show that with semi-automated approaches, enormous speed ups can sometimes be had by growing and grafting new code with genetic programming in combination  ...  Experiments with the StereoCamera program show that GI can upgrade legacy parallel code for new hardware and software.  ...  The natural distribution of test cases may be highly non-uniform and so may not be suitable for learning all the functionality.  ... 
doi:10.1007/s10710-016-9273-9 fatcat:krs2kvop6zacrpxwnwhsw2mwnq

A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning

Bo Ma, Weisi Guo, Jie Zhang
2020 IEEE Access  
This survey couples the potential of online big data analytics, cloud-edge computing, statistical machine learning, and proactive network optimisation in a common cross-layer wireless framework.  ...  The second part of the review focuses on exploiting and integrating the demand knowledge for a range of proactive optimisation techniques, including the key aspects of load balancing, mobile edge caching  ...  It may negatively impact the time for further optimisation.  ... 
doi:10.1109/access.2020.2975004 fatcat:ccl2trwgkrek5fmkorfwjesq6q

Distributed Computing in a Pandemic

Jamie Alnasir
2022 Advances in Distributed Computing and Artificial Intelligence Journal  
Extremely large-scale COVID-19 research has also utilised some of the world's fastest supercomputers, such as IBM's SUMMIT -- for ensemble docking high-throughput screening against SARS-CoV-2 targets for  ...  Grids and clouds both can also be used for international collaboration by enabling access to important datasets and providing services that allow researchers to focus on research rather than on time-consuming  ...  It is highly likely that the lessons learned herein are applicable to a variety of other similar research scenarios. This paper is organised as follows.  ... 
doi:10.14201/adcaij.27337 fatcat:5dke4cbqnvcfhgaqymvfgj77xu

AutonoML: Towards an Integrated Framework for Autonomous Machine Learning [article]

David Jacob Kedziora and Katarzyna Musial and Bogdan Gabrys
2022 arXiv   pre-print
Over the last decade, the long-running endeavour to automate high-level processes in machine learning (ML) has risen to mainstream prominence, stimulated by advances in optimisation techniques and their  ...  In doing so, we survey developments in the following research areas: hyperparameter optimisation, multi-component models, neural architecture search, automated feature engineering, meta-learning, multi-level  ...  Many of these speed-up mechanisms are based on or adjacent to meta-learning; see Section 7. The Potential and Pitfalls of NAS.  ... 
arXiv:2012.12600v2 fatcat:6rj4ubhcjncvddztjs7tql3itq

Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges [article]

Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
2020 arXiv   pre-print
, which together with two case studies, allows us to address learned lessons and recommendations for good practices following the analysis of the literature, and c) challenges and new directions of research  ...  Much has been said about the fusion of bio-inspired optimization algorithms and Deep Learning models for several purposes: from the discovery of network topologies and hyper-parametric configurations with  ...  Siham Tabik, Daniel Molina and Francisco Herrera would like to thank the Spanish Government for its funding support (SMART-DaSCI project, TIN2017-89517-P), as well as the BBVA Foundation through its Ayudas  ... 
arXiv:2008.03620v1 fatcat:eklkgo7n35a2ngllgymarygjdi

Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application

Gaye Lightbody, Valeriia Haberland, Fiona Browne, Laura Taggart, Huiru Zheng, Eileen Parkes, Jaine K Blayney
2018 Briefings in Bioinformatics  
These data may hold the promise of personalized medicine, leading to routinely available sequencing tests that can guide patient treatment decisions.  ...  In the era of highthroughput sequencing (HTS), computational considerations, data governance and clinical translation are the greatest ratelimiting steps.  ...  It is essential that we apply the lessons learned from the previous computational and governance challenges to keep pace with new HTS developments.  ... 
doi:10.1093/bib/bby051 pmid:30084865 fatcat:q3mhy7s37jazdbi2kbekfzrmkq

BioExcel Deliverable D1.4 - Long-term hardware software assessment for pilot applications and general community

Mark Abraham, Paul Bauer, Christian Blau, Erik Lindahl, Gilbert Netzer, Erwin Laure, Mikael Trellet, Adrien Melquiond, Emiliano Ippoliti, Vytautas Gapsys
2019 Zenodo  
When we achieve this, we will be able to support the design of new drugs on scales impossible today, obtain better understanding of biochemical pathways, and open new doors for further innovation.  ...  Our findings are generally unchanged, and already well publicized among the European HPC stakeholders via several working groups which are involved in the development of EuroHPC, the newly updated PRACE  ...  Cluster and Booster, non-volatile memory on the compute nodes, and network attached memory providing high-speed shared storage; optimising a selection of HPC applications for that system.  ... 
doi:10.5281/zenodo.3563747 fatcat:k3ywsgsih5d6dkqnubzufabknu

COVID-19 Pandemic Waves: 4IR Technology Utilisation in Multi-Sector Economy

Israel Edem Agbehadji, Bankole Osita Awuzie, Alfred Beati Ngowi
2021 Sustainability  
The boom in 4IR technologies calls for intense legislation on sweeping data privacy for regulated tech companies.  ...  Though several researchers have highlighted the enormous benefits of 4IR technologies in containing the COVID-19 pandemic, the recent waves of the pandemic call for a thorough review of these technological  ...  Hence, one of the lessons learned during the first wave of the COVID-19 pandemic is that the digitalisation of knowledge resources of schools and universities opened up opportunities for self-learning  ... 
doi:10.3390/su131810168 fatcat:mqh4hycaozfh5mmn2qih4gejdy

BioExcel Deliverable D3.6 – Consultancy Support Proposals Update

Adam Carter, Ian Harrow, Rosa Badia, Alexandre Bonvin, Vytautas Gapsys, Bert de Groot, Adam Hospital, Emiliano Ippoliti, Vera Matser, Adrien Melqiond, Mikael Trellet, Darren White
2019 Zenodo  
Molecular Recognition, introduced a test bed where two BioExcel codes (HADDOCK and GROMACS) were used within the same automated workflow using the platform MDstudio, which will help to scale up and harvest  ...  In this project we have explored potential consultancy models through pilot use cases, contributed to a number of proposals for further related activities, and built solid foundations for future professional  ...  In both cases lessons learned will be incorporated into future work in the Centre.  ... 
doi:10.5281/zenodo.3564063 fatcat:5vdejunxbbd45mombmm2jzokmi

A survey of the use of crowdsourcing in software engineering

Ke Mao, Licia Capra, Mark Harman, Yue Jia
2017 Journal of Systems and Software  
We further analyse the software engineering domains, tasks and applications for crowdsourcing and the platforms and stakeholders involved in realising Crowdsourced Software Engineering solutions.  ...  We conclude by exposing trends, open issues and opportunities for future research on Crowdsourced Software Engineering.  ...  Acknowledgments The authors would like to thank the many authors who contributed their valuable feedback in the 'pseudo-crowdsourced' checking process of this survey, and the anonymous referees for 1970  ... 
doi:10.1016/j.jss.2016.09.015 fatcat:somtsrt42jgsrevyikwnlsncja

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  Acknowledgements This work is conducted under the framework of the ECSEL AI4DI "Artificial Intelligence for Digitising Industry" project.  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

Bioexcel Deliverable 1.3 - Roadmap Of Future Hardware And Long-Term Development Plan For Each Pilot Application

Rossen Apostolov, Mark Abraham, Erwin Laure, Erik Lindahl, Alexandre Bonvin, Bert de Groot, Emiliano Ippoliti
2017 Zenodo  
These include supporting the design of new drugs, obtaining better understanding of biochemical pathways, and opening new doors for further innovation.  ...  The development of these codes must also target the likely directions of future hardware that we have learned from leading vendors and development consortia.  ...  storage; optimising a selection of HPC applications for that system.  ... 
doi:10.5281/zenodo.574605 fatcat:tyevo2n3vbbeto4agkn7uouiiq

Creating and Debugging Performance CUDA C [chapter]

W. B. Langdon
2012 Studies in Computational Intelligence  
Various practical ways of testing, locating and removing bugs in parallel general-purpose computation on graphics hardware GPGPU applications are described.  ...  We pass on software engineering lessons learnt during CUDA C programming and ways to obtain high performance from nVidia GPU and Tesla cards including examples of both successful and less successful recent  ...  Acknowledgements I am grateful for the assistance of Gernot Ziegler of nVidia, Steve Worley, Sarnath Kannan and Erick Cantu-Paz.  ... 
doi:10.1007/978-3-642-28789-3_2 fatcat:ktonoomqxjg6tfelpxmbt67n3q
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