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Synthesis of Non-Replicated Dynamic FragmentAllocation Algorithm in Distributed DatabaseSystems

Distributed databases have become the most essential technology for recent business organizations. In most of the cases Distributed Databases are developed in a Bottom- Up approach, fragmentation exists beforehand. The optimum allocation of those fragments is the only way, which can be exploited by the designers to increase the performance, efficiency, reliability and availability of the Distributed Database in the realistic dynamic environment, where the access probabilities of nodes to fragments change over time. In this paper, a new dynamic fragment allocation algorithm is proposed in Non-Replicated allocation scenario, which incorporates the time constraints of database accesses, volume threshold and the volume of data transmitted in successive time intervals to dynamically reallocate fragments to sites at runtime in accordance with the changing access patterns.
Uploaded by ideseditor on 01/15/2013
Digital publication details: 6 pages.

Distributed Control Systems Market - Global Industry Analysis, Size - 2018

Increase in manufacturing activities in Asia Paceific and Middle East countries is expected to contribute to the growing demand for distributed control system (DCS) solutions across different end use industries. Increasing investments in oil and gas, chemicals, petrochemicals, power generation, and water and waste-water industry among others is driving the demand for distributed control systems in regional markets. There is rapid industrialization worldwide since the markets have begun to revive after the launch of projects that were deferred during the economic downturn. Source : http://www.transparencymarketresearch.com/distributed-control-systems-market.html
Uploaded by tmrreport on 02/21/2013
Digital publication details: 10 pages.

Intellectual Capital Based Evaluation Framework for Dynamic Distributed Software Development

Abstract: This article presents constructing of an evaluation framework for dynamic distributed software development (DDSD). The topic examines building the capabilities, evaluating the efficiency and scaling up the performance of globally distributed software development teams in environments that demand high operational excellence, innovativeness and other intellectual properties. Three universities and four ICT service and software companies in Finland collaborate on a research project, DD-SCALE (2014-2016). The project objectives are to investigate and develop measurement solutions, tools and work practices for managing and evaluating DDSD work. The challenge of harnessing human and social capital assets for scaling high-performing teams to fit with high-performing organizations is addressed. The research began with an explorative phase for designing the preliminary concept of the evaluation framework which further defined the research questions. The increased knowledge of...
Uploaded by academic-conferences.org on 12/31/1969
Digital publication details: 14 pages.

Enabling What if explorations in distributed systems

distributed systems , computer modelling, datacentres
Uploaded by dalerobinson on 12/12/2011
Digital publication details: 139 pages.

Managing Distributed Software Development Effectively

Software development is a process of evaluation and management of user requests and requirements, control of project specifications and scope, and leadership and coordination of the development team.
Uploaded by globallogic on 04/06/2011
Digital publication details: 2 pages.

Distributed Control Systems Market - Global Industry Analysis by aarkstore

Aarkstore presents Distributed Control Systems Market - Global Industry Analysis
Uploaded by lavanyakr on 03/07/2013
Digital publication details: 4 pages.

Distributed Agile Development- Collaborating with R&D teams worldwide

Today’s global business environment has placed organization’s workforce and development teams across locations and time zones. However, the technological innovations have paved way for a successful achievement of results even in a distributed environment.
Uploaded by globallogic on 10/02/2011
Digital publication details: 2 pages.

Distributed Knowledge Management in Virtual Organizations: the 'Social' Experience Factory

This paper considers knowledge management functions as carried out by distributed virtual teams involved in the compilation of information-based products using dedicated and domain-specific computer- mediated practices and tools. We are concerned with two primary tasks, namely depositing shared assets and assembling information-based artefacts by appropriating the benefits of virtual networking. Moreover, these tasks are considered from the perspective of the Social Experience Factory (SEF) — a platform enabling rich collaborative interactions between geographically dispersed members of communities of practice. The SEF incorporates domain-specific workflows and several model-based tools to facilitate systematic accumulation and reuse of collaborative artefacts. An account of these is provided by discussing current implementation in the context of a pilot application.
Uploaded by academic-conferences.org on 07/12/2008
Digital publication details: 20 pages.

Multi-Objective Optimization Using Asynchronous Distributed Applications

Multi-Objective Optimization Using Asynchronous Distributed Applications
Uploaded by alessandro.giassi on 01/07/2011
Digital publication details: 8 pages.

Distributed hydrological models: comparison between TOPKAPI, a physically based model and TETIS

Distributed hydrological models: comparison between TOPKAPI, a physically based model and TETIS, a conceptually based model
Uploaded by idrologiaeambiente on 03/03/2012
Digital publication details: 1 pages.
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