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Supporting Bulk Data Transfers of High-End Applications with Guaranteed Completion Time

B. B. Chen, P. V.-B. Primet
2007 2007 IEEE International Conference on Communications  
Existing "FixRate-FixTime" resource reservation architectures such as IntServ/RSVP reserve for each flow a constant amount of resource from a specified starting time.  ...  To facilitate the efficient scheduling of endpoint resources, networks should provide a service which guarantees that a specified amount of data is transferred within a strict time window.  ...  This paper explores the solution space of flow level resource reservation to efficiently support bulk data transfers with guaranteed completion time.  ... 
doi:10.1109/icc.2007.100 dblp:conf/icc/ChenP07 fatcat:yc6tckoh3bfptndp37s4lpovni

Demand-Side Management in the Smart Grid: Information Processing for the Power Switch

Mahnoosh Alizadeh, Xiao Li, Zhifang Wang, Anna Scaglione, Ronald Melton
2012 IEEE Signal Processing Magazine  
He is currently the administrator of the GridWise Architecture Council and project director for the Pacific Northwest Smart Grid Demonstration.  ...  In recent years, he has been a technical leader in cybersecurity for industrial control systems used in critical infrastructures. He is a member of the ACM and a Senior Member of the IEEE. AUTHORS  ...  Last but not least, a number of classic statistical signal processing tools can be used to model, learn, and predict sensors data, future demand, and financial signals that will permeate the architecture  ... 
doi:10.1109/msp.2012.2192951 fatcat:kuylzbzmgjhodjndnjmsfodmse

A survey on smart grid communication system

Miles H.F. Wen, Ka-Cheong Leung, Victor O.K. Li, Xingze He, C.-C. Jay Kuo
2015 APSIPA Transactions on Signal and Information Processing  
A key component of smart grid is the communication system.  ...  This, together with the desire to have more efficient and secure power generation and distribution, has driven research in the next-generation power grid, namely, the smart grid.  ...  gathered for the system to make a better decision.  ... 
doi:10.1017/atsip.2015.9 fatcat:jmbp263btjc3nnoyhd6l5e4cxm

A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing [article]

Srikumar Venugopal, Rajkumar Buyya, Kotagiri Ramamohanarao
2005 arXiv   pre-print
Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide.  ...  We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling.  ...  ACKNOWLEDGEMENTS We would like to acknowledge the efforts of all the developers of the Grid systems surveyed in this paper.  ... 
arXiv:cs/0506034v1 fatcat:com2we7confwvil3zz6kqubg5u

Object-oriented parallel processing with mentat

A.S. Grimshaw
1996 Information Sciences  
I would like to thank Bill Pearson of the biochemistry department for introducing me to sequence comparison, and Robert Ferraro of the Jet Propulsion Lab for introducing me to finite elements.  ...  As noted portions of this paper, in particular the performance data, have appeared elsewhere [19, 23, 26, 34, 36] .  ...  and security, as well as providing efficient scheduling and resource management.  ... 
doi:10.1016/0020-0255(96)00059-x fatcat:gifht6wicncw3evv2bhv22mebu

Data Intensive and Network Aware (DIANA) Grid Scheduling

Richard McClatchey, Ashiq Anjum, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas
2007 Journal of Grid Computing  
exploits the efficient bandwidth use while making data placement decisions.  ...  of a range of possible data processing architectures.  ...  This is Appendix-A Bulk Scheduling Algorithm The following is the pseudo code for the algorithm to schedule the bulk jobs on the Grid.  ... 
doi:10.1007/s10723-006-9059-z fatcat:czmckokonnfjtpdnmezpu4e3y4

Advanced Technologies Implementation Framework for a Smart Grid

Nampuraja Enose
2014 Journal of Clean Energy Technologies  
them in a single platform for efficient management of the systems and its associated performance.  ...  Smart Grid is not a single technology or a concept; rather a vision of a perfect blend of advanced technologies and applications.  ...  This single pane view to a large extent helps in efficiently managing the grid and in making real-time business decisions.  ... 
doi:10.7763/jocet.2014.v2.98 fatcat:wgiaolckbrezpbwlx2og2mlhxu

A Research Agenda for Smarter Cyber-Physical Systems

Danny Weyns, Jesper Andersson, Mauro Caporuscio, Francesco Flammini, Andreas Kerren, Welf Löwe
2021 Journal of Integrated Design & Process Science  
With the advancing digitisation of society and industry we observe a progressing blending of computational, physical, and social processes.  ...  From this, we propose a research agenda for the years to come.  ...  One trend for grid services is shorter response times and planning horizons. Another trend is to use streams of real-time data in decision-making.  ... 
doi:10.3233/jid-210010 fatcat:fb3f6oazlffxbk7qbrlp7wq6de

A Research Agenda for Smarter Cyber-Physical Systems

Danny Weyns, Jesper Andersson, Mauro Caporuscio, Francesco Flammini, Andreas Kerren, Welf Löwe
2022 Journal of Integrated Design & Process Science  
With the advancing digitisation of society and industry we observe a progressing blending of computational, physical, and social processes.  ...  From this, we propose a research agenda for the years to come.  ...  One trend for grid services is shorter response times and planning horizons. Another trend is to use streams of real-time data in decision-making.  ... 
doi:10.3233/jid210010 fatcat:kqcmqgcv5bbfnd42gunj4tdbxi

Analysis of the Smart Grid as a System of Systems [article]

Tawfiq M Aljohani
2018 arXiv   pre-print
in a monopolistic market which introduce consumers as active players in managing and controlling the power.  ...  The energy grid is currently undergoing a historic change of state from the traditional structure where a utility owns the generation, transmission and distribution services into an integrated smart grid  ...  There is a need to adopt a system architectural thinking to allow for an optimal synergy between components of the smart grid for secure data exchange and management.  ... 
arXiv:1810.11453v1 fatcat:ymqvdksvrzdkjdeglvryq5gfgi

Machine Learning Techniques for Biomedical Natural Language Processing: A comprehensive Review

Essam H. Houssein, Rehab E. Mohamed, Abdelmgeid A. Ali
2021 IEEE Access  
The widespread use of electronic health records (EHR) systems in health care provides a large amount of real-world data, leading to new areas for clinical research.  ...  In this way, biomedical NLP applications can be used to direct clinical decisions, identify medical problems, and effectively postpone or avoid the occurrence of a disease.  ...  The secondary use of EHRs for processing patient data, promoting medical research, and enhancing the clinical decision making is a promising path.  ... 
doi:10.1109/access.2021.3119621 fatcat:pl7h35nvqngk3gxpbdxvrgzg2u

Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures

Julio C. S. Anjos, Kassiano J. Matteussi, Paulo R. R. De Souza, Gabriel J. A. Grabher, Guilherme A. Borges, Jorge L. V. Barbosa, Gabriel V. Gonzalez, Valderi R. Q. Leithardt, Claudio F. R. Geyer
2020 IEEE Access  
Nevertheless, data-intensive processing at the cloud level presents a bulk of challenges such as data movement, and communication, as well as, the difficulty of service optimizing for supporting billions  ...  However, it is not a trivial task, considering that the user might not have sufficient information for decision making regarding data distribution and computational resources.  ... 
doi:10.1109/access.2020.3023344 fatcat:dmqifexpivhnld75k3uwbmyaui

Smart Grid Modernization: Opportunities and Challenges [chapter]

Saumen Dhara, Alok Kumar Shrivastav
2021 Electric Grid Modernization [Working Title]  
Recently, there have been significant technological approaches for the bulk power grid.  ...  energy resources.  ...  Substations should progressively act not just in light of a legitimate concern for the large grid, yet additionally on the ground of decision making at the neighbourhood level.  ... 
doi:10.5772/intechopen.97892 fatcat:alswf675bbbz3fid4ochy6gl24

IoT-enabled Smart Energy Grid: Applications and Challenges

S. M. Abu Adnan Abir, Adnan Anwar, Jinho Choi, A. S. M. Kayes
2021 IEEE Access  
Smart Energy grid generates immense data and information that needs to be transferred, processed and stored for intelligent decision making and processing.  ...  Edge computing advances the localized computation system by making the edge device capable of making a decision by locally processed data.  ... 
doi:10.1109/access.2021.3067331 fatcat:kfwpgepvqfd2xgat5r3rrp75yy

State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review

Syed Saqib Ali, Bong Jun Choi
2020 Electronics  
, distributed energy resources, and electric vehicles, to improve the reliability, energy efficiency, management, and security of the future power system.  ...  They are expected to generate a vast amount of data to support various applications in the smart grid, such as distributed energy management, generation forecasting, grid health monitoring, fault detection  ...  , and processing of a huge amount of data.  ... 
doi:10.3390/electronics9061030 fatcat:ltpceutt5ngyvmg67aw7tm3zty
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