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Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworks

Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica
2020 Journal of Cloud Computing: Advances, Systems and Applications  
In such a multi-cloud landscape, several research initiatives advocate the employment of software frameworks (namely, cloud resource orchestration frameworks - CROFs) capable of orchestrating the heterogeneous  ...  The objective of this paper is to provide the reader with a systematic review and comparison of the most relevant CROFs found in the literature, as well as to highlight the multi-cloud computing open issues  ...  Introduction Over the last few years, cloud computing has established itself as a new model of distributed computing by offering complex hardware and software services in very different fields.  ... 
doi:10.1186/s13677-020-00194-7 fatcat:aqqecfaw5nd6batdxjsm4ofl34

A Systematic Mapping Study on Microservices Architecture in DevOps [article]

Muhammad Waseem, Peng Liang, Mojtaba Shahin
2020 arXiv   pre-print
Objective: This work aims to systematically identify, analyze, and classify the literature on MSA in DevOps.  ...  Conclusions: The results and findings will benefit researchers and practitioners to conduct further research and bring more dedicated solutions for the issues of MSA in DevOps.  ...  Acknowledgement This work is partially sponsored by the National Key R&D Program of China with Grant No. 2018YFB1402800.  ... 
arXiv:2008.07729v1 fatcat:d4mfel7pffblxnoqe66c3ukqva

BPM in the Cloud: The BOC Case [chapter]

Alexander Gunka, Harald Kuehn, Stepan Seycek
2016 SpringerBriefs in Applied Sciences and Technology  
BPM in the Cloud: The BOC Case BPM in the Cloud: The BOC Case https://www.icinga.org/icinga/icinga-2/distributed-monitoring/.  ...  Based on the requirements gathered, a risk-driven framework for decision support [3] , a methodology for eliciting risk, cost and quality aspects in multi-Cloud environments [5, 6] , and a prototype  ...  Open Access This chapter is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation  ... 
doi:10.1007/978-3-319-46031-4_13 fatcat:cvwmkyap25htrpcrg2as5526hu

Lifelong Computing [article]

Danny Weyns, Thomas Bäck, Renè Vidal, Xin Yao, Ahmed Nabil Belbachir
2021 arXiv   pre-print
Computing systems form the backbone of many aspects of our life, hence they are becoming as vital as water, electricity, and road infrastructures for our society.  ...  To break through the status quo, we put forward a new paradigm for the design and operation of computing systems that we coin "lifelong computing."  ...  guarantees (bounds) for multi-objective optimisation of computing-learning systems, for anomaly and novelty detection, and for evolutionary selflearning.  ... 
arXiv:2108.08802v1 fatcat:wflkryh4drgxxl6umi3avebnre

Extending reference architecture of big data systems towards machine learning in edge computing environments

P. Pääkkönen, D. Pakkala
2020 Journal of Big Data  
In order to provide services with low latency for end users, often utilisation of ML techniques has to be optimized.  ...  Also, deployment of architectural elements in different environments is described. Finally, a system view is provided of the software engineering aspects of ML model development and deployment.  ...  Juha-Pekka Soininen (VTT) is acknowledged for providing feedback to the development of the architectural views.  ... 
doi:10.1186/s40537-020-00303-y fatcat:6se2bbyprnfejezrzubyq4mv4e

Toward a Cloud Computing Learning Community

Derek Foster, Laurie White, D. Cenk Erdil, Joshua Adams, Amadeo Argüelles, Brian Hainey, Harvey Hyman, Gareth Lewis, Sajid Nazir, Van Nguyen, Majd Sakr, Lee Stott
2019 Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education  
Cloud computing continues to be an important technology in higher education.  ...  As we move into the Industry 4.0 era with technology pillars such as the internet of things and cybersecurity, the importance of skillsets for cloud-based services will be an essential attribute for the  ...  Objectives (LOs) for each KA (See Appendix A for the list of KAs).  ... 
doi:10.1145/3344429.3372506 dblp:conf/iticse/FosterWEAAHHLNN19 fatcat:rliv7flshnbiri7yal4iqdr4z4

ENTICE VM Image Analysis and Optimised Fragmentation

Akos Hajnal, Gabor Kecskemeti, Attila Csaba Marosi, Jozsef Kovacs, Peter Kacsuk, Robert Lovas
2018 Journal of Grid Computing  
ENTICE VM image analysis and optimised fragmentation http://researchonline.ljmu.ac.uk/7977/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more  ...  Our technique can be used in conjunction with practically any popular cloud solution, and the storage of fragments is independent of the proprietary image storage of the cloud provider.  ...  As a result, with the help of the multi objective fragment storage optimisation tool of ENTICE [20] , even multi-cloud fragmented VMI launch is possible.  ... 
doi:10.1007/s10723-018-9430-x fatcat:6xvm34ixcfefdpq77jqc34wd6a

Collective Knowledge: organising research projects as a database of reusable components and portable workflows with common APIs

Grigori Fursin
2020 figshare.com  
software and hardware for machine learning (ML) and artificial intelligence (AI) in terms of speed, accuracy, energy, size and various costs.The CK framework also helped to automate the artefact evaluation  ...  of missing packages.This article presents a number of industrial projects in which the modular CK approach was successfully validated in order to automate benchmarking, auto-tuning and co-design of efficient  ...  whole project when new software was released, complex updates of database tables with results and so on [42] .  ... 
doi:10.6084/m9.figshare.12988361.v5 fatcat:kf34hzuqezeypi22o6evadly64

Entice Vm Image Analysis And Optimised Fragmentation

Akos Hajnal, Gabor Kecskemeti, Attila Csaba Marosi, Jozsef Kovacs, Peter Kacsuk, Robert Lovas
2018 Zenodo  
Our technique can be used in conjunction with practically any popular cloud solution, and the storage of fragments is independent of the proprietary image storage of the cloud provider.  ...  This is a pre-print of an article published in Journal of Grid Computing.  ...  As a result, with the help of the multi objective fragment storage optimisation tool of ENTICE [20] , even multi-cloud fragmented VMI launch is possible.  ... 
doi:10.5281/zenodo.1164408 fatcat:snf2yc6g4rahpooocj2h432vre

Collective Knowledge: organising research projects as a database of reusable components and portable workflows with common APIs

Grigori Fursin
2020 figshare.com  
software and hardware for machine learning (ML) and artificial intelligence (AI) in terms of speed, accuracy, energy, size and various costs.The CK framework also helped to automate the artefact evaluation  ...  of missing packages.This article presents a number of industrial projects in which the modular CK approach was successfully validated in order to automate benchmarking, auto-tuning and co-design of efficient  ...  whole project when new software was released, complex updates of database tables with results and so on [42] .  ... 
doi:10.6084/m9.figshare.12988361.v6 fatcat:s6yvn6wn4zgqnduwokxxonuyji

A National View of Containers and Kubernetes in Research: Shared challenges and opportunities

Steven Manos, Kieran Spear, Paula A. Martinez, Steve Quenette, Mark Gray, Andrew White, ARCOS Working Group
2020 Zenodo  
This report has been developed through the ARDC Community of Practice - Australian Research Container Orchestration Service (ARCOS).  ...  summarises the findings and challenges expressed through a survey and engagements with various Australian stakeholders concerning the challenges and opportunities related to Containers and Kubernetes in  ...  to use K8s for the multi-cloud deployment of multiple instances of XNAT and associated services.  ... 
doi:10.5281/zenodo.4083297 fatcat:dx5m3t6qhbfm7gof3jajoef7de

Collective Knowledge: organising research projects as a database of reusable components and portable workflows with common APIs

Grigori Fursin
2020 figshare.com  
software and hardware for machine learning (ML) and artificial intelligence (AI) in terms of speed, accuracy, energy, size and various costs.The CK framework also helped to automate the artefact evaluation  ...  of missing packages.This article presents a number of industrial projects in which the modular CK approach was successfully validated in order to automate benchmarking, auto-tuning and co-design of efficient  ...  whole project when new software was released, complex updates of database tables with results and so on [42] .  ... 
doi:10.6084/m9.figshare.12988361.v4 fatcat:3tdam74chbfn7aecteo75743q4

The cloud application modelling and execution language

Achilleas P. Achilleos, Kyriakos Kritikos, Alessandro Rossini, Georgia M. Kapitsaki, Jörg Domaschka, Michal Orzechowski, Daniel Seybold, Frank Griesinger, Nikolay Nikolov, Daniel Romero, George A. Papadopoulos
2019 Journal of Cloud Computing: Advances, Systems and Applications  
This work defines the Cloud Application Modelling and Execution Language (CAMEL), which (i) allows users to specify the full set of design time aspects for multi-cloud applications, and (ii) supports the  ...  Several cloud modelling languages have been developed to support multi-cloud resource management, but still they lack holistic cloud management of all aspects and phases.  ...  Acknowledgements Special thanks to the PaaSage project partners for their individual contributions to CAMEL and the PaaSage platform. 1  ... 
doi:10.1186/s13677-019-0138-7 fatcat:2kucmd5px5ao7g5ynwngfzh6ri

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN [article]

Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
2021 arXiv   pre-print
This article introduces principles for machine learning (ML), in particular, reinforcement learning (RL) relevant for the O-RAN stack.  ...  Furthermore, we review state-of-the-art research in wireless networks and cast it onto the RAN framework and the hierarchy of the O-RAN architecture.  ...  If the whole of the above units is regarded as the optimization object, then this kind of global or multi-objective optimization is currently challenging to achieve [21] .  ... 
arXiv:2111.06978v1 fatcat:g4tj7q7pevde5funhd2u3nqhoi

A Cloud-Driven View On Business Process As A Service

Jörg Domaschka, Frank Griesinger, Daniel Seybold, Stefan Wesner
2017 Zenodo  
The evolution of cloud service models tries to bridge this by bringing up fine grained and multi-dimensional service models.  ...  The presented work enables the categorisation of items in the BPaaS paradigm and outlines how traditional business processes can be enabled for cloud delivery.  ...  We thank the entire CloudSocket consortium for the valuable and constructive discussion on the matter and for feedback on earlier versions of this paper.  ... 
doi:10.5281/zenodo.1001126 fatcat:zryokdrxpbbxdkpvjvtedbid3e
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