large distributed scientific applications
Applying Twister to Scientific Applications
... and distributed to all nodes, Map tasks can remove local duplicates, and then send KeyValue pairs, each of which uses a gene sequence as Key and a tag as ...
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Cloud resource management: towards efficient execution of large-scale scientific applications and workflows on complex infrastructures
... Rodriguez and Buyya [95] propose a resource provi- sioning and scheduling solution for execution of scientific workflows on cloud infrastructures. The solution is based on particle swarm optimization aiming at ...
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Grid portal architectures for scientific applications
... of scientific communities rely upon third-party software (including both open source community science projects and commercial applications) rather than developing codes from ...and distributed; high ...
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An Architecture for Management of Large, Distributed, Scientific Data Using SQL/MED and XML
... These applications do not have to be specially written for our architecture (in fact, operations stored as DATALINKs can be downloaded separately for standalone execution elsewhere) and they can be packaged in a ...
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Applications of tensor in various scientific and mathematical fields
... Fundamental Aspect: The approaches of Green’s function are extensively used in the modeling of seismic wave forms. Seismic waveforms of finite frequency carry a great deal of information on earthquake sources and earth ...
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Using Web 2 0 for Scientific Applications and Scientific Communities
... web applications, JSON comes with a native support from JavaScript, which makes JSON perform better than corresponding XML ...web applications (such as Yahoo! web service, Google GData, ...
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Distributed Java Applications
... RMI allows a Java object that executes on one machine to invoke a method of the Java object that executes on another machine. This is an important feature, because it allows building distributed application. All ...
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TANGO: Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation.
... of applications benefiting most from heterogeneous parallel architectures, in the upcoming era of IoT and Big Data, there is significant interest in exploiting the ca- pabilities offered by customised ...
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Applicability of DryadLINQ to Scientific Applications
... style applications, Sphere[16] adopts a streaming based computation model used in GPUs which can be used to develop applications with parallel topologies as a collection of MapReduce style ...a large ...
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Clouds and MapReduce for Scientific Applications
... One can describe the difference between MPI and MapReduce as follows. In MapReduce multiple map processes are formed ‐‐ typically by a domain(data) decomposition familiar from MPI ‐‐ these run asynchronously typically ...
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SERVICE QUALITY IMPACT ON CUSTOMER SATISFACTION - A STUDY OF ICICI BANK IN MYSORE CITY
... production-quality scientific applications are written in Fortran1, C, or C++, we will only mention the C/C++ SOAP ...C++ applications into SOAP/XML Web ...C/C++ applications on the ...
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A distributed firewall for multimedia applications
... - QoS: The transmission of continuous media typically requires a guaranteed quality (e.g. described in terms of bandwidth or delay). When using the current IETF IntServ approach these are insured by means of explicitly ...
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Challenges in very large distributed systems
... the distributed system consists of a series of local media sys- tems installed at a user’s ...the distributed systems research has concentrated on developing these services, often for cluster-based com- ...
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Large-scale distributed L-BFGS
... for large-scale processing which is not limited to a specific ...and large-scale ...and distributed computations on large amounts of data without the need to design their own specific ...
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Distributed Differential Privacy and Applications
... We have demonstrated that state-of-the-art systems for differentially private data analysis are vulnerable to several different kinds of covert-channel attacks from ad- versarial queriers. Covert channels are ...
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dtj v01 09 jun1989 pdf
... The final three papers address the methods devel oped for the essential work of eva luating distributed system produ ct performance. Gene Finkelstein and Richard Grawin describe a new methodology for examining ...
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[D423.Ebook] Get Free Ebook Programming Microsoft Azure Service Fabric Developer Reference By Haishi Bai.pdf
... Programming Microsoft Azure Service Fabric introduces this service to the public by showing how to implement a variety of real-world applications in detail. The author interviews a number of internal and external ...
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Distributed stochastic analysis using remote service providers
... Current status • DISTAL customisation has enabled distributed stochastic analysis using industrial tools and applications • Large scale industrial testing is underway – DISTAL only margi[r] ...
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Challenges and Security Issues in Big Data Analysis
... having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or ...unstructured large data ...
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Managing large distributed dynamic graphs for smart city network applications
... of large dynamic graphs became popular since it lies at the core of many modern smart city network ...2014). Large distributed dynamic (LDD) graphs creates a problem known as the distributed ...
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