Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed than cluster computers. Although a single grid can be dedicated to a particular application, commonly a grid is used for a variety of purposes. Grids are often constructed with general-purpose grid middleware software libraries. Grid sizes can be quite large.
Distributed generation, also distributed energy, on-site generation (OSG), or district/decentralized energy, is electrical generation and storage performed by a variety of small, grid-connected or distribution system-connected devices referred to as distributed energy resources (DER).
Ian Tremere Foster is a New Zealand-American computer scientist. He is a distinguished fellow, senior scientist, and director of the Data Science and Learning division at Argonne National Laboratory, and a professor in the department of computer science at the University of Chicago.
United Devices, Inc. was a privately held, commercial volunteer computing company that focused on the use of grid computing to manage high-performance computing systems and enterprise cluster management. Its products and services allowed users to "allocate workloads to computers and devices throughout enterprises, aggregating computing power that would normally go unused." It operated under the name Univa UD for a time, after merging with Univa on September 17, 2007.
TeraGrid was an e-Science grid computing infrastructure combining resources at eleven partner sites. The project started in 2001 and operated from 2004 through 2011.
Delta3d is an open source software gaming/simulation engine API. Delta3d is managed and supported by Caper Holdings LLC. Previously the Modeling, Virtual Environments, and Simulation (MOVES) Institute at the Naval Postgraduate School in Monterey, California managed and supported delta3d. Alion Science has also been a major contributor to enhancements and features.
The D-Grid Initiative was a government project to fund computer infrastructure for education and research (e-Science) in Germany. It uses the term grid computing. D-Grid started September 1, 2005 with six community projects and an integration project (DGI) as well as several partner projects.
ParaView is an open-source multiple-platform application for interactive, scientific visualization. It has a client–server architecture to facilitate remote visualization of datasets, and generates level of detail (LOD) models to maintain interactive frame rates for large datasets. It is an application built on top of the Visualization Toolkit (VTK) libraries. ParaView is an application designed for data parallelism on shared-memory or distributed-memory multicomputers and clusters. It can also be run as a single-computer application.
HPX, short for High Performance ParalleX, is a runtime system for high-performance computing. It is currently under active development by the STE||AR group at Louisiana State University. Focused on scientific computing, it provides an alternative execution model to conventional approaches such as MPI. HPX aims to overcome the challenges MPI faces with increasing large supercomputers by using asynchronous communication between nodes and lightweight control objects instead of global barriers, allowing application developers to exploit fine-grained parallelism.
Web-based simulation (WBS) is the invocation of computer simulation services over the World Wide Web, specifically through a web browser. Increasingly, the web is being looked upon as an environment for providing modeling and simulation applications, and as such, is an emerging area of investigation within the simulation community.
Hypertable was an open-source software project to implement a database management system inspired by publications on the design of Google's Bigtable.
The P-GRADE Grid Portal was software for web portals to manage the life-cycle of executing a parallel application in grid computing. It was developed by the MTA SZTAKI Laboratory of Parallel and Distributed Systems (LPDS) at the Hungarian Academy of Sciences, Hungary, from around 2005 through 2010.
In computer science, a pilot job is a type of multilevel scheduling, in which a resource is acquired by an application so that the application can schedule work into that resource directly, rather than going through a local job scheduler, which might lead to queue waits for each work unit. This term comes from the Condor High-Throughput Computing System, in which Condor GlideIns provides this functionality. Other examples of pilot jobs are: the BigJob implemented in SAGA, Swift Coasters as part of the Swift parallel scripting system, the Falkon lightweight task execution framework, and HTCaaS.
A data grid is an architecture or set of services that gives individuals or groups of users the ability to access, modify and transfer extremely large amounts of geographically distributed data for research purposes. Data grids make this possible through a host of middleware applications and services that pull together data and resources from multiple administrative domains and then present it to users upon request. The data in a data grid can be located at a single site or multiple sites where each site can be its own administrative domain governed by a set of security restrictions as to who may access the data. Likewise, multiple replicas of the data may be distributed throughout the grid outside their original administrative domain and the security restrictions placed on the original data for who may access it must be equally applied to the replicas. Specifically developed data grid middleware is what handles the integration between users and the data they request by controlling access while making it available as efficiently as possible. The adjacent diagram depicts a high level view of a data grid.
CELAR was a research project which successfully developed an open source set of tools designed to provide automatic, multi-grained resource allocation for cloud applications. In this way CELAR developed a solution that competes directly with Ubuntu Juju (software), Openstack Heat and Amazon Web Services. CELAR was developed with funding from the European Commission under the Seventh Framework Programme for Research and Technological Development, sometimes abbreviated to FP7.
In computing, Hazelcast IMDG is an open source in-memory data grid based on Java. It is also the name of the company developing the product. The Hazelcast company is funded by venture capital and headquartered in Palo Alto, California.
Swift is an implicitly parallel programming language that allows writing scripts that distribute program execution across distributed computing resources, including clusters, clouds, grids, and supercomputers. Swift implementations are open-source software under the Apache License, version 2.0.
CloudSim is a framework for modeling and simulation of cloud computing infrastructures and services. Originally built primarily at the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, the University of Melbourne, Australia, CloudSim has become one of the most popular open source cloud simulators in the research and academia. CloudSim is completely written in Java. The latest version of CloudSim is CloudSim v6.0.0-beta on GitHub.
Social cloud computing, also peer-to-peer social cloud computing, is an area of computer science that generalizes cloud computing to include the sharing, bartering and renting of computing resources across peers whose owners and operators are verified through a social network or reputation system. It expands cloud computing past the confines of formal commercial data centers operated by cloud providers to include anyone interested in participating within the cloud services sharing economy. This in turn leads to more options, greater economies of scale, while bearing additional advantages for hosting data and computing services closer to the edge where they may be needed most.
Michela Taufer is an Italian-American computer scientist and holds the Jack Dongarra Professorship in High Performance Computing within the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. She is an ACM Distinguished Scientist and an IEEE Senior Member. In 2021, together with a team al Lawrence Livermore National Laboratory, she earned a R&D 100 Award for the Flux workload management software framework in the Software/Services category.
