16,810 resources related to Grid Computing
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The 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
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.
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.
Photovoltaic materials, devices, systems and related science and technology
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.
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 ...
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.
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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
Part 3: Transforming the Electric Utility Industry with a Smart Grid: IEEE TAB Speakers Bureau
Life on 150 Watts with a nano-hydroelectric turbine
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 heterogeneous resources required to resolve the crisis. Numerous experimental studies were conducted by different organizations, such that the topologically distributed resources were connected by the means of internet to act as a single machine. This new approach is coined by different naming as, meta-computing, scalable computing, global computing, Internet computing and recently “Grid Computing”. In this research paper, we have discussed about the origin of Grid Computing, need of Grid Computing, followed by the reason of choosing it and several FAQs. The software development kits and application programming interfaces are categorized upon the study of extensible and open Grid architecture. A comparative study between “cloud computing” and “grid computing”, as well a brief study of grid and web services have taken into account. Finally we conclude with the benefits and the applications of Grid computing in the current scenario and the upcoming generations.
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 accept the highest number of them. Totally can cause to increase the possibility of acceptance of requests and also increase efficiency of grid resources. Deadline aware algorithm reaches us to this goal. Simulations show that the deadline aware algorithm improves efficiency of advance reservation resources in both case. Possibility of acceptance of requests and optimizing resources in short time slot and also in rate of high entrance of requests in each time.
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 new power system fault diagnosis model is designed and it take the topology as the example to explain how to use its high performance computing method (or parallel computing method) and distributed environment to design a new intelligent algorithm with information fusion and multi-data resources in grid computing environment.
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 with different usage policies, cost models and varying load and availability patterns with time. This tutorial introduces fundamental principles of grid computing and computational economy and discusses how they impact on emerging computational and data grid technologies. It identifies resource management challenges and introduces new challenges and requirements introduced by the grid economy on grid service providers (GSPs) and grid service consumers. The tutorial presents a service- oriented grid architecture inspired by computational economies and demonstrates how it can be realized by leveraging the existing grid technologies and building new economic-oriented capabilities and components. We present solutions to these challenges based on our experience in designing and developing market-oriented Gridbus technologies such as Grid Market Directory, Grid Bank, Grid Service Broker, Workflow Engine, and SLA-based enterprise Grid Resource Allocation system. Case studies on the use of Gridbus middleware in the creation of various e-science and e-business applications and their deployment on national/international utility-oriented grids along with its impact on emerging cloud computing paradigm will also be highlighted.
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 large data, networks and span many organizations. In this paper we briefly motivate Grid computing and introduce its basic concepts. We then highlight a number of distributed computing research questions, and discuss both the relevance and the short-comings of research results when applied to Grid computing. We choose to focus on issues concerning the dissemination and retrieval of information from distributed networks and data integration on Computational Grid platforms. We feel that these issues are particularly critical at this time, and as we can point to preliminary ideas, work, and results in the Grid community and the distributed computing community. This paper is of interest to distributing computing researchers because Grid computing provides new challenges that need to be addressed, as well as actual platforms for experimentation and research.
Current use of high-speed networks has brought a change in computing methods. Technologies enabling cooperative use of varied resources as a single powerful computer for solving large scale problems have evolved into grid computing. It is involving available computer based resources. Complexity of computation in the modern era has culminated in crossing organizational boundaries to get the desired manipulation of data through grid computing. Security in this new availability of resources on demand with an easy access in grid computing is a definite need. Researchers have developed various solutions and there are several examples of Grid computing, since it a promising trend. This paper proposes a different dimension to security in the grid with freedom in one-one access.
Grid computing is in the network environment, virtualizing the resources and sharing a variety of resources dynamically. In a grid environment there are various points that mutually restrict and coalesce at the same time. The relationship can be summed up as a concept "trusted" which is an important part of grid computing. This article established the trusted evaluation index system of grid computing, which involved the conception of ecological niche and comentray, designed the evaluation algorithm based ecological niche and comentray. We evaluate the reliability of grid computing of a example using this evaluation method.
Grid computing uses geographically distributed computers connected on the Internet for high performance computing and resource sharing. It often involves computers from multiple organizations, crosses organizational boundaries, and enables the creation of distributed teams (so-called "virtual organizations"). Therefore, to teach grid computing properly, we first needed a distributed operational grid of computers for students to access. Our course uniquely combines distance-learning tools with grid computing. Students from many universities enroll and become the virtual organization together with supporting faculty from their home institutions. Integrating with this virtual organization is the physical grid of computers provided at major sites for students
Grid computing provides a high performance computing platform to solve larger scale applications by coordinating and sharing computational power, data storage and network resources across dynamic and geographically dispersed organizations. Scheduling onto the Grid is NP-complete, so there is no best scheduling algorithm for all grid computing systems. An alternative is to select an appropriate scheduling algorithm to use in a given grid environment because of the characteristics of the tasks, machines and network connectivity. Job scheduling is one of the key research area in grid computing. The goal of scheduling is to achieve highest possible system throughput and to match the application need with the available computing resources. Motivation of this study is to encourage and help the amateur researcher in the field of grid computing, so that they can understand easily the concept of scheduling and can contribute in developing more efficient and practical scheduling algorithm. This will benefit interested researchers to carry out further work in this thrust area of research.
Grid computing is taught at the University of Arkansas, focusing on the development of grid services, the Globus toolkit, and higher-level grid components. An early course, cluster and grid computing, successfully taught Globus materials to advanced undergraduates and beginning graduate students. However, the material assumed advanced knowledge of Java programming and covered networking and basic distributed systems concepts, and was therefore too advanced for beginning programming students. When teaching grid computing to beginners, we must focus on creating and submitting a grid job rather than programming grid services. We also teach grid computing to advanced science and engineering students whose programming skills are similar to those of beginning computer science students
No standards are currently tagged "Grid Computing"