data-intensive application systems
Storage Management of Data-intensive Computing Systems
... shared data and metadata services of the parallel storage, much like the allocation of CPU cores in an HPC ...good application-level fairness and system-level ...individual data and metadata server, ...
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Data-intensive file systems for Internet services: A rose by any other name...
... four data-intensive ...reading data for the “map” tasks. The Pagerank application is also read-intensive and the algorithm is designed to use only one “reduce” ...much data as it ...
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An ACO Algorithm for Scheduling Data Intensive Application with Various QOS Requirements
... large data sets from simulations or large-scale ...these data sets and their dissemination among researchers located over a wide geographic area requires high capacity resources such as super computers, ...
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Chapter 2 Architecting Data-Intensive Software Systems
... of data intensive software systems has blossomed recently as the relentless advance of technology has begun to put massive amounts of computational power and storage capacity within reach of projects ...
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Development and application of biofilter systems for intensive livestock operations to minimise odour emissions and nuisance potential
... In the following case studies, pressure drop will be calculated using Equation 2. This equation assumes that the filter bed is a woodchip/compost mix (compost content ranging from 0% to 40% compost by mass), of 60% ...
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Advances in Clouds and their application to Data Intensive problems
... • Clouds are a major industry thrust with a growing fraction of IT expenditure that IDC estimates will grow to $44.2 billion direct investment in 2013 while 15% of IT investment in 2011 will be related to cloud ...
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Article Description
... processor-based systems to intensive data communication requiring multi-processing systems to fulfill the real time application ...multiprocessor systems there is a need for ...
10
CHAIO: Enabling HPC Applications on Data-Intensive File Systems
... The data locality and balanced data distribution are not concerned by non-primary replicas since they select nodes randomly to store the ...the application elapsed ...file systems to return to ...
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Data Management in Data Intensive Computing Systems - A Survey
... management, application deployment and multiple data sources poses a challenge to Hadoop’s adoption, whereas HPCC provides high level of fault resilience and language capabilities, which reduce the need for ...
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Developing Efficient Implementations of Bellman–Ford and Forward-Backward Graph Algorithms for NEC SX-ACE
... of data-intensive algorithms: those algorithms usually stress target platform memory subsystem, as a result demonstrating low performance, high latency and poor data-cache us- age due to low ...
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Bundling Hadoop & Map Reduce for Data-Intensive Computing in Distributed Systems
... the data is loaded into clusters in Hadoop it is distributed to all the ...the data into sets which allow management by individual nodes within the ...of data due to failure, each part is also ...
5
Cheap and Large CAMs for High Performance Data-Intensive Networked Systems
... Limited flash: In many of the streaming applications mentioned earlier, insertion of new (key, value) entries into the CLAM requires creating space by evicting old keys. BufferHash uses a novel age-based internal or- ...
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MRAP: A Novel MapReduce-based Framework to Support HPC Analytics Applications with Access Patterns
... tate data-intensive HPC analytics particularly the ones with access patterns and are developed using ...level. Data sieving allows the processes to read excessive contigu- ous data set in a ...
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Forecasting Portfolio Investment Using Data Mining
... transactional data, to demographics, to product sales based on ...of data mining is just as it ...The data mining process used to be a highly technical process requiring mathematicians to build the ...
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An Improving Genetic Programming Approach Based Deduplication Using KFINDMR
... existing data; 3) increasing operational costs—because of the additional volume of useless data, investments are required on more storage media and extra computational processing power to keep the response ...
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Cost-Effective Privacy Preserving Of Intermediate Datasets In Cloudusing Reverse Circle Cipher
... in data intensive application to cut down the total expense by avoiding repeating computation to obtain these ...of data holder is in ...
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Software Intensive Systems
... Software-Intensive Systems” discussions concentrated on software engineering challenges in developing and improving what might be called "human intensive ...are systems in which people are ...
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A Comparison and Evaluation of Architecture Recovery in Data-Intensive Systems using Focus
... in data-intensive systems [5] paints a grim picture of architecture-based principled construction of data-intensive ...of data-intensive systems arises out of a ...
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Enterprise Architecture Transformation: Roadmap Plan Analysis and Visualization
... 9 Page change by creating, communicating and improving the key principles and models that describe the enterprise’s future state and enable its evolution. EA, as defined by Iacob et al. (2007), is the complete, ...
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Data Intensive Cyberinfrastructure
... “Big Data” July 26-30 with set of certified images – first offering of FutureGrid 101 Class; TeraGrid ‘10 “Cloud technologies, data- intensive science and the TG”; CloudCom conference tutorials Nov ...
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