Metacomputing

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Metacomputing is all computing and computing-oriented activity which involves computing knowledge (science and technology) common for the research, development and application of different types of computing. It may also deal with numerous domains of computing application, such as: industry, business, management, as well as human. (Wikipedia.org)






Conferences related to Metacomputing

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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

ETFA focus is on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to exchange ideas with both industry leaders and a variety of experienced researchers, developers, and practitioners from several industries, research institutes, and academia


2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 IEEE International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE)

ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Metacomputing

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Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Distributed Systems Online, IEEE

After nine years of publication, DS Online will be moving into a new phase as part of Computing Now (http://computingnow.computer.org), a new website providing the front end to all of the Computer Society's magazines. As such, DS Online will no longer be publishing standalone peer-reviewed articles.


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Most published Xplore authors for Metacomputing

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Xplore Articles related to Metacomputing

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Adaptive communication algorithms for distributed heterogeneous systems

Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244), 1998

Heterogeneous network-based systems are emerging as attractive computing platforms for HPC applications. We discuss fundamental research issues that must be addressed to enable network-aware communication at the application level. We present a uniform framework for developing adaptive communication schedules for various collective communication patterns. Schedules are developed at run-time, based on network performance information obtained from a directory service. We ...


Supercomputer-enhanced functional MRI of the human brain

IEEE Concurrency, 2000

To promote grid-computing technology, the Central Institute for Applied Mathematics (ZAM) at the Research Centre Juelich performed an advanced case study in metacomputing using real-time functional magnetic resonance tomography to assess human brain functions. ZAM runs the large-scale computing facilities of the John von Neumann Institute for Computing (NIC), a German supercomputing center. ZAM works in cooperation with the Institute ...


A metacomputing environment for demanding applications: design, implementation, experiments and business benefit

Proceedings Third IEEE Symposium on Computers and Communications. ISCC'98. (Cat. No.98EX166), 1998

A metacomputing environment is presented, suitable for the efficient execution of computationally intensive parallel jobs that may require/generate large volume of data. A cluster of networked computing nodes as a physical layer to the distributed architecture is considered. A job model for the submitted tasks is presented that derives from real-life application areas. The proposed distribution of work over the ...


Implementing a Performance Forecasting System for Metacomputing The Network Weather Service

SC '97: Proceedings of the 1997 ACM/IEEE Conference on Supercomputing, 1997

In this paper we describe the design and implementation of a system called the Network Weather Service (NWS) that takes periodic measurements of deliverable resource performance from distributed networked resources, and uses numerical models to dynamically generate forecasts of future performance levels. These performance forecasts, along with measures of performance fluctuation (e.g the mean square prediction error) and forecast lifetime ...


Towards a workflow-aware distributed versioning file system for metacomputing systems

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005., 2005

In this paper, a novel workflow-aware distributed versioning file system, WAD- VFS is presented to overcome the shortcoming of traditional DFS and facilitate the high performance computing. Our preliminary simulation results are impressive and can hence serve as a supporting evidence of deploying WAD-VFS to our ongoing metacomputing project, Trellis system.


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Educational Resources on Metacomputing

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Metacomputing"

IEEE-USA E-Books

  • Adaptive communication algorithms for distributed heterogeneous systems

    Heterogeneous network-based systems are emerging as attractive computing platforms for HPC applications. We discuss fundamental research issues that must be addressed to enable network-aware communication at the application level. We present a uniform framework for developing adaptive communication schedules for various collective communication patterns. Schedules are developed at run-time, based on network performance information obtained from a directory service. We illustrate our framework by developing communication schedules for total exchange. Our first algorithm develops a schedule by computing a series of matchings in a bipartite graph. We also present a O(P/sup 3/) heuristic algorithm, whose completion time is within twice the optimal. This algorithm is based on the open shop scheduling problem. Simulation results show performance improvements of a factor of 5 over well known homogeneous scheduling techniques.

  • Supercomputer-enhanced functional MRI of the human brain

    To promote grid-computing technology, the Central Institute for Applied Mathematics (ZAM) at the Research Centre Juelich performed an advanced case study in metacomputing using real-time functional magnetic resonance tomography to assess human brain functions. ZAM runs the large-scale computing facilities of the John von Neumann Institute for Computing (NIC), a German supercomputing center. ZAM works in cooperation with the Institute for Medicine at the Research Centre Juelich and the Institute for Media Communication at the GMD-National Research Centre for Information Technology. ZAM's study is based on the large-scale parallel computers and the virtual reality systems at NIC-ZAM and GMD and on the communication facilities and functions of the Gigabit Testbed West, a pilot project in gigabit-technology networking between ZAM and GMD. The German Research Network funded the Gigabit Testbed West to prepare for the German Gigabit Science Net, which will start in April 2000.

  • A metacomputing environment for demanding applications: design, implementation, experiments and business benefit

    A metacomputing environment is presented, suitable for the efficient execution of computationally intensive parallel jobs that may require/generate large volume of data. A cluster of networked computing nodes as a physical layer to the distributed architecture is considered. A job model for the submitted tasks is presented that derives from real-life application areas. The proposed distribution of work over the nodes of the execution network is proven optimal, in terms of minimizing the execution time, with respect to the availability of resources. We conclude by presenting our experience of resting the environment for computing-intensive 3D rendering jobs derived from the ESPRIT project EROPPA.

  • Implementing a Performance Forecasting System for Metacomputing The Network Weather Service

    In this paper we describe the design and implementation of a system called the Network Weather Service (NWS) that takes periodic measurements of deliverable resource performance from distributed networked resources, and uses numerical models to dynamically generate forecasts of future performance levels. These performance forecasts, along with measures of performance fluctuation (e.g the mean square prediction error) and forecast lifetime that the NWS generates, are made available to schedulers and other resource management mechanisms at runtime so that they may determine the quality-of-service that will be available from each resource. We describe the architecture of the NWS and implementations that we have developed and are currently deploying for the Legion [13] and Globus/Nexus [7] metacomputing infrastructures. We also detail NWS forecasts of resource performance using both the Legion and Globus/Nexus implementations. Our results show that simple forecasting techniques substantially outperform measurements of current conditions (commonly used to gauge resource availability and load) in terms of prediction accuracy. In addition, the techniques we have employed are almost as accurate as substantially more complex modeling methods. We compare our techniques to a sophisticated time-series analysis system in terms of forecasting accuracy and computational complexity.

  • Towards a workflow-aware distributed versioning file system for metacomputing systems

    In this paper, a novel workflow-aware distributed versioning file system, WAD- VFS is presented to overcome the shortcoming of traditional DFS and facilitate the high performance computing. Our preliminary simulation results are impressive and can hence serve as a supporting evidence of deploying WAD-VFS to our ongoing metacomputing project, Trellis system.

  • Design of an artificial-neural-network-based application-oriented grid resource discovery service

    This paper puts forward a design of artificial-neural-network-based (ANN- based) application-oriented grid resource discovery service to enable users to dynamically discover the grid resources which are suitable for their applications. The core of this service is an ANN-based grid resource classifier, which periodically accesses the metacomputing directory service and dynamically classifies the grid resources into application-oriented categories according to the real-time state of grid computing environment Users can invoke this service and pass the application type as a parameter to discover the current most suitable grid resources. Grid resource allocation manager also can interact with this service to improve its practicability and efficiency.

  • An experience in accessing grid computing power from mobile device with GridLab Mobile services

    In this paper review the notion of the use of mobile device in grid computing environment, We describe our experience in evaluating the GridLab mobile service as a tool which supports the combination of two mainstreams, grid computing and mobile devices. We use GridLab Mobile services platform to conduct our experiment to enable the access of grid computing power from Poznan supercomputing and networking center in Poland through smart phones. In order to deploy GridLab Mobile services we need to have mobile client, mobile command center and grid application. GridLab mobile services functionality are GridLab resource management system (GRMS) job submission and control, message box browsing, visualization viewing, and auxiliary functionality such as login. From our experiment it was found that to perform Login to the services through smart phone, we need to send the average of 635 Bytes of data and received 467,6 of data in 14,6 seconds. For getting message box we need to send the average of 1389 Bytes of data and received 1638,8 Bytes of data in 26,6 Seconds. In addition to that, for visualization purposes we needed to send the average of 2701,8 Bytes of data and received the average of 46139,4 of data in 26,6 Seconds.

  • Mobile agent procedures: metacomputing in Java

    We introduce mobile agent procedures (MAPs) as an efficient, convenient and transparent means of utilizing available networked computational resources. MAPs are mobile remote procedures that are executed in the most appropriate site in a cluster of heterogeneous workstations. Procedure migration is performed by middleware software transparently from the application and without relying on operating system or compiler support. The implementation platform for MAPs are mobile agents in Java.

  • Large-scale distributed computational fluid dynamics on the information power grid using Globus

    This paper describes an experiment in which a large-scale scientific application developed for tightly-coupled parallel machines is adapted to the distributed execution environment of the Information Power Grid (IPG). A brief overview of the IPG and a description of the computational fluid dynamics (CFD) algorithm are given. The Globus metacomputing toolkit is used as the enabling device for the geographically-distributed computation. Modifications related to latency hiding and load balancing were required for an efficient implementation of the CFD application in the IPG environment. Performance results on a pair of SGI Origin 2000 machines indicate that real scientific applications can be effectively implemented on the IPG; however; a significant amount of continued effort is required to make such an environment useful and accessible to scientists and engineers.

  • Heterogeneous distributed virtual machines in the Harness metacomputing framework

    Harness is a Java-centric, experimental metacomputing framework based upon the principle of dynamic enrolment and reconfiguration of heterogeneous computational resources into distributed virtual machines. The dynamic behavior of the system is not limited to the number and types of computers and networks that comprise the virtual machine, but also extends to the capabilities of the virtual machine itself. These fundamental characteristics address the inflexibility of current metacomputing frameworks as well as their incapability to easily incorporate new, heterogeneous technologies and architectures and avoid rapid obsolescence. The adaptable behavior of Harness derives both from a user controlled, distributed "plug-in" mechanism and from an event driven, dynamic management of the distributed virtual machine status that are central features of the system.



Standards related to Metacomputing

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Jobs related to Metacomputing

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