granules.cs.colostate.edu

Granules: Scaleable, distributed stream processing

Distributed Real time Processing of Data Streams. Granules supports the processing of data streams over a distributed collection of processing elements. Such streams can be generated in settings involving observational and monitoring equipment, simulations, and computational workflows. Salient features in Granules include support for :. Granules v3 will be released in March, 2017. Long running, stateful computations with multiple rounds of execution. Scientific extensions to the basic MapReduce framework.

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Granules: Scaleable, distributed stream processing | granules.cs.colostate.edu Reviews

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Distributed Real time Processing of Data Streams. Granules supports the processing of data streams over a distributed collection of processing elements. Such streams can be generated in settings involving observational and monitoring equipment, simulations, and computational workflows. Salient features in Granules include support for :. Granules v3 will be released in March, 2017. Long running, stateful computations with multiple rounds of execution. Scientific extensions to the basic MapReduce framework.

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Granules: Scaleable, distributed stream processing | granules.cs.colostate.edu Reviews

https://granules.cs.colostate.edu

Distributed Real time Processing of Data Streams. Granules supports the processing of data streams over a distributed collection of processing elements. Such streams can be generated in settings involving observational and monitoring equipment, simulations, and computational workflows. Salient features in Granules include support for :. Granules v3 will be released in March, 2017. Long running, stateful computations with multiple rounds of execution. Scientific extensions to the basic MapReduce framework.

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granules.cs.colostate.edu

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Granules: Software

http://granules.cs.colostate.edu/software.html

We plan to have 3 major releases every year, with intermediate minor releases adding functionality to the aforementioned major releases. We typically number our releases based on the following rule: x.y.z. Here, x.y. Indicates a major release with a significant advancement in the software's capabilities ( y. Increments from 0 through 9, before there is a rollover into x. Indicates improvements to the x.y. Release which is typically the result of bug fixes. Department of Computer Science.

2

Granules: Publications

http://granules.cs.colostate.edu/papers.html

Thilina Buddhika and Shrideep Pallickara. Neptune: Real Time Stream Processing for Internet of Things and Sensing Environments. To appear) Proceedings of the 30th. IEEE International Parallel and Distributed Processing Symposium. Chicago, USA. 2016. Walid Budgaga, Matthew Malensek, Sangmi Pallickara, Neil Harvey, Jay Breidt, and Shrideep Pallickara. Predictive Analytics Using Statistical, Learning, and Ensemble Methods to Support Real-Time Exploration of Discrete Event Simulations. Vol 10(3): 18. 2015.

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Granules-3.0.0-SNAPSHOT API

http://granules.cs.colostate.edu/api

This document is designed to be viewed using the frames feature. If you see this message, you are using a non-frame-capable web client. Link to Non-frame version.

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Granules: Scaleable, distributed stream processing

http://granules.cs.colostate.edu/overview.html

There is no central component in Granules, and the system can scale-out assimilating one node at time thus harnessing the availability of new machines. The system can orchestrate such stream processing computations within traditional clusters, collection of desktops, or IaaS VM-based settings. To maximize resource utilizations Granules interleaves hundreds of computations on the same resource. A broad class of compute and data intensive applications can benefit from the capabilities available in Granules...

5

Granules: Scaleable, distributed stream processing

http://granules.cs.colostate.edu/index.html

Distributed Real time Processing of Data Streams. Granules supports the processing of data streams over a distributed collection of processing elements. Such streams can be generated in settings involving observational and monitoring equipment, simulations, and computational workflows. Salient features in Granules include support for :. Granules v3.0.0 will be released in June, 2016. Long running, stateful computations with multiple rounds of execution. A broad class of compute and data intensive applica...

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matthew.malensek.net

Matthew Malensek - Projects

https://matthew.malensek.net/projects

Here’s what I’ve been working on. A high-throughput distributed storage system for multidimensional data. Contributions to the Granules. Framework for distributed stream processing. A native Java implementation of bsdiff. A themeable sound volume controller. A simple skinnable calculator. A snake game for your terminal.

esciencegroup.com

python | The eScience Cloud

https://esciencegroup.com/category/python

Cloud and HPC Solutions for Science. Data Center Design Evolution. Emerging Cloud Software Stack. Deploying the IPython Notebook to Brisk’s Spark. Software, Tools and Algorithms. Python and other programming tools. CNTK Revisited. A New Deep Learning Toolkit Release from Microsoft. In a pair of articles from last winter ( first article. Installing the software from the binary builds is very easy on both Ubuntu Linux and Windows. The process is described in the CNTK github site. Figure 1. CNTK tutoria...

esciencegroup.com

computer science | The eScience Cloud

https://esciencegroup.com/category/computer-science

Cloud and HPC Solutions for Science. Data Center Design Evolution. Emerging Cloud Software Stack. Deploying the IPython Notebook to Brisk’s Spark. Software, Tools and Algorithms. Python and other programming tools. Category Archives: computer science. Cloud-Native Applications – call for papers. What is “cloud-native”? Frameworks to make it easier for industry to build cloud-native applications;. Educational approaches and community based organizations that can promote cloud-native design concepts;.

dsc.soic.indiana.edu

Streaming and Steering Applications: Requirements and Infrastructure | Digital Science Center

http://www.dsc.soic.indiana.edu/ssri

Skip to main content. Center for Research in Extreme Scale Technologies. Streaming and Steering Applications: Requirements and Infrastructure. Streaming and Steering Applications: Requirements and Infrastructure. Treaming and Steering Applications: Requirements and Infrastructure. 2 Streaming and Steering Application Areas. Internet of People: wearables. Smart watches, bands, health, glasses, telemedicine. Social media, Twitter, cell phones, blogs, financial transactions. Often large volumes of data and ...

naradabrokering.org

The NaradaBrokering Project @ IU Community Grids Laboratory

http://www.naradabrokering.org/index.html

Granules 1.4.0 . The NaradaBrokering project is a research effort in the area of large-scale distributed streaming systems at the Community Grids Lab. Research in NaradaBrokering has been funded through grants from the US National Science Foundation, the US Department of Energy, and the United Kingdom’s Open Middleware Infrastructure Institute, which is part of the UK e-Science programme. Powerful and efficient long-tail disseminations. Secure end-to-end delivery of streams. Support for Web Services.

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granules.cs.colostate.edu

Granules: Scaleable, distributed stream processing

Distributed Real time Processing of Data Streams. Granules supports the processing of data streams over a distributed collection of processing elements. Such streams can be generated in settings involving observational and monitoring equipment, simulations, and computational workflows. Salient features in Granules include support for :. Granules v3 will be released in March, 2017. Long running, stateful computations with multiple rounds of execution. Scientific extensions to the basic MapReduce framework.

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