Computational Shedding (CS) and The Simple Stream Computing
Computational Shedding in Stream Computing
... information, determined the best locations to supply aid quickly. However, it become difficult to classify content quickly as valid content or spam, given the volume of which was uploaded in such a short space of time ...
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Elastic Stream Computing with Clouds
... Abstract—Stream computing, also known as data stream processing, has emerged as a new processing paradigm that processes incoming data streams from tremendous numbers of sensors in a real-time ...
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Data Stream Management Systems for Computational Finance
... Software platforms solve the re-usability problem by providing a generic substrate upon which many user applications can be easily built. One such platform that has been extensively used in many application domains in ...
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Stream processing in data-driven computational science
... realistic stream workload and stream processing scenario for dynamic weather forecasting and use it to illustrate features of stream processing in data-driven scientific computing, through the ...
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S4: Distributed Stream Computing Platform
... I. I NTRODUCTION S4 (Simple Scalable Streaming System) is a distributed stream processing engine inspired by the MapReduce model. We designed this engine to solve real-world problems in the context of ...
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StreamApprox: Approximate Computing for Stream Analytics
... a stream, and main- tains a sample in a buffer called reservoir ...the stream, and reservoir sampling ensures that each item in the stream has an equal prob- ability of being selected for the ...in ...
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A Practical Evaluation of Load Shedding in Data Stream Management Systems for Network Monitoring
... Our contribution is to propose a simple experiment setup for practical evaluation of load shed- ding in DSMSs. At this point, the experiment setup can be used for measuring tuple dropping, which is one of the load ...
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A stream computing approach towards scalable NLP
... Abstract Computational power needs have grown dramatically in recent ...the computing architectures and large-scale data processing strategies used in the NLP ...
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High-performance computing for computational biology of the heart
... of computational tasks to be run at each time-step of the simulation, such as computing diffusion or producing snapshot images of the ...allows simple comparison of different models, parameter ...
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High performance parallel computing for Computational Fluid
... environments such as Linux. The basic approach is simple. Several tens of personal computers to several hundred sold on the market are connected by a network. For this reason, a concept called “self-made parallel ...
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Computational modelling of vortex shedding flows
... where the boundary layers are still laminar before separation. The use of high Reynolds number models implies the turbulent boundary layers and strong mixing, which shifts the separa[r] ...
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Computational modelling of vortex shedding flows
... where the boundary layers are still laminar before separation. The use of high Reynolds number models implies the turbulent boundary layers and strong mixing, which shifts the separa[r] ...
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A Framework For Supporting Load Shedding in Data Stream Management Systems
... input stream from stream property monitor and then passes the estimated system load to load shedding ...load shedding module works in either shedding mode, in which some shedders have ...
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Control-Based Load Shedding in Data Stream Management Systems
... Abstract Load shedding has been widely used in data stream man- agement systems (DSMSs) as a means to maintain Quality- of-Service (QoS) of data processing. However, current sys- tems tend to adapt ad hoc ...
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Computing Computational Thinking
... I want to be able to walk into a classroom with game design and ask a student: “...now that you can make space invaders, can you also make a science simulation?”. – Len Scrogan, Direc[r] ...
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On the computational power of simple dynamics
... the computational power of such models is rather ...weakest computational models that still allow for both efficient as well as robust computations in a fault- tolerant ...
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DATA STREAM MANAGEMENT SYSTEMS FOR COMPUTATIONAL FINANCE
... DSMSs use a cycle of data monitoring, managing, and mining to accommodate complex queries in streaming ap- plications like computational finance. The notion of time is crucial in such applications, which include ...
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A computational description of simple mediation analysis
... Finally, the product ab is tested to see if it is statistically different from 0 which would support a mediating effect. As it should become apparent, top panel of Figure 1, even though it is widespread, is conceptually ...
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A Dynamic Attribute-Based Load Shedding Scheme for Data Stream Management Systems
... data stream being transmitted over a network channel with capacity less than the data transmission rate of the data stream causes sequential network ...for shedding less-informative attribute data ...
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Innovation Makes Computing Simple
... Source: Gartner Quarterly Statistics: Servers, 2Q15 Update For 8 consecutive quarters, Huawei.. server shipments rank.[r] ...
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