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Distributed Data Management for Grid Computing

solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more;

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Distributed and Cloud Computing

system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.

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Grid Computing for Bioinformatics and Computational Biology

discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed;

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Data Driven e-Science

field of Grid Computing. Data Driven e-Science: Use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010;

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Euro Par 2015 Parallel Processing

, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and;

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Gca 2007 - Proceedings Of The 3rd International Workshop On Grid Computing And Applications

collaboration, cycle and data sharing and other modes of interaction involving distributed resources. Grid computing is an emerging technology that;

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Smart Grid Technology

data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management;

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Data Intensive Distributed Computing

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges;

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Design and Analysis of Distributed Algorithms

principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data;

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Knowledge and Data Management in GRIDs

research results in key areas such as distributed storage management, Grid databases, Semantic Grid and Grid-aware data mining. Written for a;

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Grid Resource Management

architectural issues of grid technology, such as security, data management, logging, and aggregation of services, as well as related technologies;

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Comparative analysis between Grid and Cloud computing

companies. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing;

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High-Performance Computing

for distributed computing, and novel task-scheduling algorithms Clusters and grid computing: design requirements, grid middleware;

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Grid Computing: The New Frontier of High Performance Computing

electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing.Initially grid computing;

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Advances in Smart Grid Technology

learning techniques, information and communication technologies for monitoring and control of smart grid components, and data security in smart;

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Distributed Data Fusion for Network-Centric Operations

buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the;

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Smarter Energy

renewable integration in future grid; distributed and decentralized control in future power systems; multiobjective optimization for smart grid;

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing

paradigms. P2P, grid, cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex;

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Distributed Computing and Internet Technology

; concurrent and distributed systems modelling and verification; cloud and grid computing; social networks, machine learning and mobile networks; data;

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Grid Computing Research Progress

Grid computing is a phrase in distributed computing which can have several meanings: Multiple independent computing clusters which act like;

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Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems

distributed environments such as computational grids, clouds, ad hoc networks and P2P networks. Next-generation computational grids must provide a;

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Grid Middleware and Services

current solutions together with future challenges. This volume includes sections on knowledge and data management on grids, Grid resource;

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Grid Computing - GRID 2000

European Grid Forum (eGrid), the EuroTools SIG on Metacomputing, Microsoft Research (USA), Sun Microsystems (USA), and the Centre for Development;

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Grid Computing

Microsystems offers Grid Engine Software. Described as a distributed resource management tool, Grid Engine allows engineers at companies like Sony and;

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing

computing paradigms. P2P, Grid, Cloud and Internet computing technologies have been very fast established as breakthrough paradigms for;

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Intelligent Computing in Engineering

, distributed, cluster, grid and cloud. The contents cover recent advances in wireless sensor networks, mobile ad hoc networks, internet of things;

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Introduction to Grid Computing

the grid with other distributed systems, the book covers two important aspects of a grid system: scheduling of jobs and resource discovery and;

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