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LEVERAGING THE SCALABILITY: A DISTRIBUTED CLOUD FOR TOMORROW'S INTERNET OF AUTONOMOUS THINGS

Cristian STEFAN, Logica BANICA
2020 Buletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice  
In a cloud computing environment, the dynamic resource distribution is especially important for accomplishment of customer demands in a fast and secure manner.  ...  A distributed cloud uses fog and edge computing in its infrastructure to reduce the latencies by offering computation and data storage closer to devices.  ...  , connected to the macro-Cloud data centers for Big Data storage and complex analysis.  ... 
doaj:22359a898f5641eabfb0328e3dfc1906 fatcat:pu6eariow5asdnxnkj64tmuiji

Significance of Artificial Intelligence and Machine Learning Techniques in Smart Cloud Computing: A Review

2019 International journal of soft computing and engineering  
Realization of the tremendous features and facilities provided by Cloud Computing by the geniuses in the world of digital marketing increases its demand.  ...  Reinforcement learning is preferred when there is no training data set. It leads the system to learn by its own experience itself even in dynamic environment.  ...  We thank our family members and friends who are supporting in all our personal activities, when we are engaged with our research work.  ... 
doi:10.35940/ijsce.c3265.099319 fatcat:4i6qcsgnkfe6hdnnjrb5nbdk7q

A Cost Model for Hybrid Storage Systems in a Cloud Federations

Amina Chikhaoui, Kamel Boukhalfa, Jalil Boukhobza
2018 Proceedings of the 2018 Federated Conference on Computer Science and Information Systems  
In this paper, we propose a cost model for hybrid storage systems in a cloud federation for a Database as a Service (DBaaS) application.  ...  From this point of view, how to efficiently place data in a federation of Clouds with heterogeneous storage systems is a real challenge.  ...  In this work, we have proposed a cost model for data placement on hybrid storage systems in a Cloud federation.  ... 
doi:10.15439/2018f237 dblp:conf/fedcsis/ChikhaouiBB18 fatcat:a3u45wkamne5zhcnabtfn2ekbi

Architecture For Secure Computation Infrastructure And Self-Management Of Vm Security

Marc Lacoste
2015 Zenodo  
In this document we present the preliminary architecture of the SUPERCLOUD virtualization and security self-management for computation.  ...  We present a survey of security self-management, motivating the need to overcome administration complexity barriers through full security automation, seamlessly across layers and cloud provider domains  ...  Provider-centric Distributed Cloud Computing (DCC) [51] faces vendor lock-in, interoperability limitations, and low flexibility for customers. Therefore, DCC is now moving user-centric [196] .  ... 
doi:10.5281/zenodo.49743 fatcat:pohohtw4ibhr7mlah36zrzs5w4

Connected-Vehicles Applications Are Emerging [Connected Vehicles]

Elisabeth Uhlemann
2016 IEEE Vehicular Technology Magazine  
-Machine learning and Knowledge discovery databases in streaming data. -Data science and big data computing. -Data quality and data lifecycles in Intelligent Transportation Systems.  ...  The simplest approach is the sliding windows, based on first in, first out data structure. (a) Sliding Window.  ... 
doi:10.1109/mvt.2015.2508322 fatcat:gtlzk33iovcqrfcebfsrjjdxoe

6G Technology Overview - One6G White Paper [article]

One6G Association
2022 Zenodo  
times higher data rates than in 5G).  ...  For each enabling technology, we first give the background on how and why the technology is relevant to 6G, backed up by a number of relevant use cases.  ...  Usually, to support such approach information exchange at scale is provided by cloud computing, which provides ondemand availability of computer system resources, especially data storage and computing  ... 
doi:10.5281/zenodo.6630705 fatcat:rghtxgovubc5zartbe2qx4ekvm

D7.1: Skills landscape analysis and competence model [article]

Angus Whyte, Kevin Ashley
2017 Zenodo  
The report provides an analysis of EOSC stakeholder policy priorities for skills development, identifying these with data stewardship, a broad set of skills covering open science, data management, data  ...  Informed by those needs, Section 6 provides a draft EOSCpilot competence framework, the first part of the skills framework. Conclusions for further engagement with stakeholders in skills development.  ...  To this end RDS is in the process of hiring a dedicated data steward for each one of their eight faculties and has just appointed a coordinator.  ... 
doi:10.5281/zenodo.3395401 fatcat:rtpy4ckmkncqvfknq24b6hvy6q

A Survey on Underwater Wireless Sensor Networks: Requirements, Taxonomy, Recent Advances, and Open Research Challenges

Salmah Fattah, Abdullah Gani, Ismail Ahmedy, Mohd Yamani Idna Idris, Ibrahim Abaker Targio Hashem
2020 Sensors  
It also contributes a taxonomy of the critical elements in UWSNs by devising a classification on architectural elements, communications, routing protocol and standards, security, and applications of UWSNs  ...  Hence, this paper offers the newest analysis on the available evidences by reviewing studies in the past five years on various aspects that support network activities and applications in UWSN environments  ...  Big Data-Related Integrating UWSNs and big data is one of the recent trends.  ... 
doi:10.3390/s20185393 pmid:32967124 pmcid:PMC7570626 fatcat:ot3dm7dmx5ay7odsjtxng7wuqa

Software-Defined Vehicular Networking: Opportunities and Challenges

Nelson Cardona, Estefania Coronado, Steven Latre, Roberto Riggio, Johann M. Marquez-Barja
2020 IEEE Access  
This controller is associated with a cloud computing or big data platform.  ...  On the other hand, IEEE 1609.4 is a MAC layer extension for multi-channel operation in WAVE systems.  ...  His current research is mostly based on next generation vehicular communications, network slicing, and SDN, aimed at enabling programmable networks.  ... 
doi:10.1109/access.2020.3042717 fatcat:qx4pamc4unhclgmbojbw2a2oey

Named Data Networking: A survey

Divya Saxena, Vaskar Raychoudhury, Neeraj Suri, Christian Becker, Jiannong Cao
2016 Computer Science Review  
After that, the PIT entry is deleted and the content is stored in the CS based on the local caching policy, for serving future requests for the same content.  ...  This model of client-server data communication has evolved into a peerto-peer mode of data sharing in recent times.  ...  In a DoS attack, only one computer system and one Internet connection are used to flood a server while in a DDoS attack, many computer systems distributed in location, are used to flood the network.  ... 
doi:10.1016/j.cosrev.2016.01.001 fatcat:z256vu3lwrdnpkzsdnruxtlosi

Feuille de route IFB 2021-2028: MUDIS4LS [article]

Jacques Van Helden, Julien Seiler, Gildas Le Corguillé, Claudine Médigue, IFB Teams
2021 Zenodo  
The main goal of MuDiS4LS (Mutualized Digital Space for FAIR data in Life and Health Sciences) is to develop a framework that will rely on the national and regional data centers to enable scientists controlling  ...  The basis of MuDiS4LS will be the National Network of Computing Resources (NNCR) launched by IFB in 2017 with a mutualized task force contributed by permanent staff from 9 platforms located in 6 regions  ...  placement of the computation according to the location of the data.  ... 
doi:10.5281/zenodo.5229330 fatcat:speqf7rjcjc5hiaqeemlmvjg7m

From 5G to 6G—Challenges, Technologies, and Applications

Ahmed I. Salameh, Mohamed El Tarhuni
2022 Future Internet  
In this paper, we highlight the shortcomings of 5G in meeting the needs of more data-intensive, low-latency, and ultra-high-reliability applications.  ...  Finally, we quantify and summarize the research work related to beyond 5G and 6G networks through an extensive search of publications and research groups and present a possible timeline for 6G activities  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi14040117 fatcat:kvcvy2yqpvgk3n2vtwfbyvrfly

D3.6 Proposal on integration of metadata catalogues to support cross-disciplinary FAIR uptake

Eva Mendez, Tony Hernandez, Angus Whyte, Joy Davidson
2020 Zenodo  
This deliverable provides an analysis of the (meta)data catalogues concept in different domain-specific research data infrastructures and research data repositories.  ...  It discusses the importance of metadata standards and vocabularies for improving the FAIRness of these research data collections, as well as the diversity of specific domain dependent metadata standards  ...  Metadata Standards Catalog WG, is a community managed version of the DCC guide on disciplinary metadata.  ... 
doi:10.5281/zenodo.5357560 fatcat:2mgmm4nvt5bmrgkb7oe3wwhq4u

D3.6 Proposal on integration of metadata catalogues to support cross-disciplinary FAIR uptake

Eva Mendez, Tony Hernandez, Angus Whyte, Joy Davidson
2020 Zenodo  
This deliverable provides an analysis of the (meta)data catalogues concept in different domain-specific research data infrastructures and research data repositories.  ...  It discusses the importance of metadata standards and vocabularies for improving the FAIRness of these research data collections, as well as the diversity of specific domain dependent metadata standards  ...  Metadata Standards Catalog WG, is a community managed version of the DCC guide on disciplinary metadata.  ... 
doi:10.5281/zenodo.4134788 fatcat:ypjx6kytergobh5hdzd5a2lngu

D7.2: Interim report and catalogue of EOSC skills training and educational materials [article]

Eileen Kühn, Achim Streit
2017 Zenodo  
Three topics are addressed as a result: First, the design and implications for the EOSCpilot Skills Framework with regard to requirements of service providers and different target groups.  ...  Our efforts include explicit thoughts on the establishment of FAIR training provision, but are limited to findability at the current state.  ...  aiming at reaching certified level. ▪ For service developers and providers: on using baseline compute and storage services for applications and servers that demand big-data and big-compute. ▪ For all  ... 
doi:10.5281/zenodo.3395958 fatcat:lg45uixujfambcllbr4uh3r2f4
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