An example of distributed data processing
Distributed data processing for public health surveillance
... the data center automatically generates electronic alerts, which are automatically routed to appropriate public health ...For example, in Massachusetts, electronic messages are automatically sent to the ...
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DolphinNext: a distributed data processing platform for high throughput genomics
... RNA-Seq example above) in a single report page and easily compare the results of hun- dred samples using the consolidated tables and ...interactive data visualization and exploration ...
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Distributed Data Processing (DDP-PPC) TCP/IP Interface COBOL
... necessary data descriptions into your working-storage section when the program is ...following example shows the information packets produced by copying DDN-PKTS into the working-storage section of a ...
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Earth Observation Data Processing in Distributed Systems
... standardized data transfer protocols (as HTTP, HTTPS, or GridFTP), standardized protocols for Web services, and less standardized data movers for het- erogeneous computing ...For example, for ...
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Optimizing distributed data stream processing by tracing
... an example when problematic input can only be identi- fied via its lineage, consider incoming TCP packet logs from a mobile network operator’s monitoring system ...with data from di fferent external sources ...
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Hierarchially Distributed Data Matrix Scheme for Big Data Processing
... Big data processing, Distributed system ...(for example, MapReduce and Spark) were provided to address increasingly large data sets on the use of specific sets of commodity ...For ...
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Data locality via coordinated caching for distributed processing
... However, the wide range of HEP workflows and number of collaborating scientists dictate the use of established appli- cations and frameworks. This also implies constraints, which are not satisfied by modern analysis ...
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Parallel and Distributed GIS for Processing Geo data: An Overview
... For example, a spatial query which performs a spatial join between two datasets having tens of thousands of attributes might take exponentially long time or might require more than maximum available memory and ...
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Distributed Query Processing for Federated RDF Data Management
... that data from the network. For example, the calculation of if -iif -based user- centric tag clouds would be highly inefficient if each peer needs to ask all other peers about the used ...the data ...
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WSNFS: A DISTRIBUTED DATA SHARING SYSTEM FOR IN-NETWORK PROCESSING
... in-network processing for collaborative data processing requires efficient data ...collaborative processing may be implemented by only considering data local to each sensor ...
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Data Processing Models for Distributed Computing and it’s Ecosystem: A Survey
... graph processing will increases performance and usability compared to general frameworks since general-purpose distributed computing tools are not tailored for graph ...For example, Pregel ’ s ...
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Efficient Online Scheduling in Distributed Stream Data Processing Systems
... For example, the improve- ment on the average tuple transfer latency between PU0 and PU1 is the most significant one, which is over ...tuple processing latency at some ...tuple processing latency, ...
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Performance analysis and optimization of a distributed processing framework for data mining accelerated with graphics processing units
... For example, in the step of assignment of data points to each cluster, which is the time-dominant phase of the algorithm, the algorithm computes the Eu- clidean distance of each point that belongs to the ...
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Online Transaction Processing Example
... for example composed of 7 Dimensions Salesperson Sales Amount Region Product Region Month ...For example Consider a Data SourceEither Data Warehouse or Database of ...a data warehouse ...
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A Hierarchical Distributed Processing Framework for Huge Image by using Big Data
... For example, the left twin pictures in the first line demonstrates the comparative number of intrigue focuses while the left gathering recorded in the third column presents diverse outcomes where ICP has obviously ...
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Thrill: High-performance algorithmic distributed batch data processing with C++
... pipelined data- flow style ...efficient processing of fixed-length items like single characters or fixed-dimensional vectors without object overhead due to the zero overhead abstractions of ...treats ...
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Elasticity and resource aware scheduling in distributed data stream processing systems
... For task selection, given the topology there should be a start point as well as a traversal algorithm. We assume that our algorithm starts selecting tasks from Spouts, which is discussed in Section 2.2. However, the ...
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Distributed Data processing in a Cloud
... input data – Map tasks are scheduled local to the inputs when possible • Reexecution and Speculative execution – In a large cluster, some nodes are always slow or flaky – Introduces long tails or failures in ...
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Distributed processing for statistical data mining
... a data set analysed in a cheminformatics study may provide chemical names or Simplified Molecular Input Line Entry Specification (SMILES) [36] descriptors under investigation, and will perhaps report the programs ...
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Tracing Distributed Data Stream Processing Systems
... We detect imbalance by examining the traces at stage boundaries. During trace analysis, a separate module inspects trace reports for every operator instance in the topology. Combiners in general perform pre-reduction, ...
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