Grid Computing
16,837 resources related to Grid Computing
IEEE Organizations related to Grid Computing
Back to TopConferences related to Grid Computing
Back to TopThe conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.
2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)
Photovoltaic materials, devices, systems and related science and technology
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
The conference is intended to provide an international forum for the exchange of information on state-of-the-art research in antennas, propagation, electromagnetics, and radio science.
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Periodicals related to Grid Computing
Back to TopAutomatic Control, IEEE Transactions on
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Biomedical Engineering, IEEE Transactions on
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Broadcasting, IEEE Transactions on
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
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Xplore Articles related to Grid Computing
Back to TopA theoretical and detail approach on grid computing a review on grid computing applications
[{u'author_order': 1, u'affiliation': u'CSE Dept., UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086107649', u'full_name': u'Rabel Guharoy', u'id': 37086107649}, {u'author_order': 2, u'affiliation': u'ECE Dept, UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086108163', u'full_name': u'Surajit Sur', u'id': 37086108163}, {u'author_order': 3, u'affiliation': u'ECE Dept., UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086102816', u'full_name': u'Shayan Rakshit', u'id': 37086102816}, {u'author_order': 4, u'affiliation': u'CSE Dept., UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37084394100', u'full_name': u'Sumit Kumar', u'id': 37084394100}, {u'author_order': 5, u'affiliation': u'CSE Dept, UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086106608', u'full_name': u'Afaq Ahmed', u'id': 37086106608}, {u'author_order': 6, u'affiliation': u'CE Dept., UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086241690', u'full_name': u'Subhro Chakborty', u'id': 37086241690}, {u'author_order': 7, u'affiliation': u'CSE Dept., UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086105911', u'full_name': u'Subhojit Dutta', u'id': 37086105911}, {u'author_order': 8, u'affiliation': u'CSE Dept., UEM, Jaipur, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086107810', u'full_name': u'Mayank Srivastava', u'id': 37086107810}] 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), 2017
The drastic increase in the commodity computer and network performance for the last generation has a resultant of faster hardware and more sophisticated software. But, the supercomputers of the current generation are still incapable of solving the current problems in the field of science, engineering, and business. This problems arises as a single machine cannot facilitate the availability of various ...
[{u'author_order': 1, u'affiliation': u'Arak branch, Islamic Azad University, Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/37993029100', u'full_name': u'Seiiedeh Yasaman Rashida', u'id': 37993029100}, {u'author_order': 2, u'affiliation': u'Electrical Eng.K.N.Tossi University, Tehran Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/37304139600', u'full_name': u'Mohammad TeshnehLab', u'id': 37304139600}, {u'author_order': 3, u'affiliation': u'Computer Engineering Department, Islamic Azad University, science and research branch, Tehran Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/37313847700', u'full_name': u'Amir Masoud Rahmani', u'id': 37313847700}] 2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010), 2010
Ensuring quality of services and reducing the blocking probability is one of the important cases in the environment of grid computing. In this paper, we present a deadline aware algorithm to give solution to ensuring the end-to-end QoS and improvement of the efficiency of grid resources. Investigating requests as a group in the start of time slot and trying to ...
Power systems fault diagnosis based on grid computing
[{u'author_order': 1, u'affiliation': u'School of Electrical Engineering, Shandong University, Jinan 250061, China', u'full_name': u'Lei Wang'}, {u'author_order': 2, u'affiliation': u'School of Electrical Engineering, Shandong University, Jinan 250061, China', u'full_name': u'Qing Chen'}, {u'author_order': 3, u'affiliation': u'School of Electrical Engineering, Shandong University, Jinan 250061, China', u'full_name': u'Zhanjun Gao'}] 2011 International Conference on Advanced Power System Automation and Protection, 2011
A grid computing model is proposed in this paper and it will used in the power grid fault diagnosis. It includes the power grid computing system's structure, software service and hardware integration method. Though technology of grid computing is quite successful, its application to power system fault diagnosis is a deficiency. According to the five architecture layers of gird, a ...
Market-Oriented Grid Computing and the Gridbus Middleware
[{u'author_order': 1, u'affiliation': u'Associate Professor and Reader Director, Grid Computing and Distributed Systems (GRIDS) Laboratory, The University of Melbourne, Australia', u'authorUrl': u'https://ieeexplore.ieee.org/author/37267557900', u'full_name': u'Rajkumar Buyya', u'id': 37267557900}] 2008 16th International Conference on Advanced Computing and Communications, 2008
Grid computing, one of the latest buzzwords in the ICT industry, is emerging as a new paradigm for Internet-based parallel and distributing computing. Despite a number of advances in grid computing, resource management and application scheduling in such environments continues to be a challenging and complex undertaking. This is due to geographic distribution of grid resources owned by different organizations ...
Data management and heterogeneous data integration in Grid computing environments
[{u'author_order': 1, u'affiliation': u'Computer Science & Engineering Department, Sathyabama University, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085944760', u'full_name': u'K. Ashok kumar', u'id': 37085944760}, {u'author_order': 2, u'affiliation': u'Computer Science Department, Periyar University, India', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085945497', u'full_name': u'C. Chandra sekar', u'id': 37085945497}] 2010 International Conference on Communication and Computational Intelligence (INCOCCI), 2010
Ensembles of distributed, heterogeneous resources, or Computational Grids, have emerged as popular platforms for deploying large-scale and resource- intensive applications. Large collaborative efforts are currently underway to provide the necessary software infrastructure. Grid computing raises challenging issues in many areas of computer science, bioinformatics, high energy physics and especially in the area of distributed computing, as Computational Grids cover increasingly ...
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Educational Resources on Grid Computing
Back to TopIEEE.tv Videos
A Smart Grid for Intelligent Energy Use 
Global Distribution Systems for the Smart Grid: Gordon Day 
IEEE Smart Grid World Forum - Klaus Kleinekorte 
IEEE Smart Grid: Vision, Mission, Community 
Transportation Electrification: San Diego Gas & Electric's Implementation of the SmartGrid 
ICCE 2014: The IEEE Smart Grid 
Global Impact of IEEE Standards on Smart Grid: Bill Ash 
Smart Grid Success Story - Wanda Reder - Ignite: Sections Congress 2017 
Challenges in the Developing Smart Grid: Chuck Adams 
Part 1: Transforming the Electric Utility Industry with a Smart Grid: IEEE TAB Speakers Bureau 
Smart Grid Vehicular Technology Vision: Possibility and Feasibility of Smart Community from Case Studies - Hiroaki Nishi 
Educating Smart Grid Consumers: Dave Karpenske 
Wanda Reder: Smart Grid Success Story — Studio Tech Talks: Sections Congress 2017 
Transportation Electrification: The Impact of Smart Grid and Renewables: A Panel Discussion 
APEC Speaker Highlights - Doug Hopkins, University of Buffalo, Power Electronics/Smart-Grid 
2016 IEEE PES General Meeting: Members Meeting & Plenary Session 
Inventor Dean Kamen takes island off grid 
Grid Integration Systems and Mobility with Keynote Sila Kiliccote - IEEE WIE ILC 2017 
Life on 150 Watts with a nano-hydroelectric turbine 
Part 3: Transforming the Electric Utility Industry with a Smart Grid: IEEE TAB Speakers Bureau IEEE-USA E-Books
State-of-the-Art Technologies for Large-Scale Computing
Resource providers in academia and commerce have started to offer access to their underutilized resources in an attempt to make better use of spare capacity. To enable this provision of free capacity to third parties, both kinds of provider require technologies to allow remote users restricted access to their local resources. Commonly employed technologies used to address this task are grid computing and cloud computing. This chapter provides an overview of grid computing and the architecture of grid middleware currently in use. After discussing the advantages and drawbacks of grid computing, the concept of virtualization is briefly introduced. Virtualization is a key concept behind cloud computing, which is described in detail in the chapter. The future and emerging synthesis of grid and cloud computing are also discussed. Today, modeling and simulation of large-scale computing systems are considered as a fruitful RD area for algorithms and applications. cloud computing; grid computing; virtualisation
Wireless Sensor Networks (WSN) play a critical role in Internet of Things (IoT). It is essentially the interface between the IoT and the physical world. This chapter describes the characteristics of the WSN and analyzes the power constraints, the network operation, the operating system, and the computing paradigm resulted from these characteristics. IoT needs High‐Performance Computing (HPC) to resolve its optimization problems. How to efficiently use the embedded, distributed, or hosted computing power in IoT is the fundamental principle of addressing the challenges in constructing a smart world. New approaches to HPC are made possible by advances in microprocessor architectures which include proliferation of parallelism and high‐bandwidth networks. Several solutions exist, such as Graphics Processing Unit (GPU) computing, Many Integrated Core (MIC) computing, heterogeneous computing, Peer‐to‐Peer (P2P) computing, Cloud computing, and Grid computing. The chapter discusses two operating systems that are emerged in the research of sensor networks, including TinyOS and LiteOS.