Search Results for "data collection algorithm"

Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. ...

OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.

ATTENTION: For more info and latest version, refer to https://github.com/estigma88/jdhtuq. jDHTUQ is a peer-to-peer DHT system based in Chord algorithm, but built like API to generalize the implementation of peer-to-peer DHT systems. jDHTUQ have two fundamental services , put and get of resource.

...The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality.

Karma tool is a standalone tool that can be added to existing cyberinfrastructure for purposes of collection and representation of provenance data. Karma utilizes a modular architecture that permits support for multiple instrumentation plugins that make it usable in different architectural settings.

COMP Superscalar offers a straightforward programming model that particularly targets Java applications. The simplicity of this programming model keeps the Cloud transparent to the user, who is able to program their applications in a Cloud-unaware fashion. The user is only required to select the tasks to be run on the Cloud, while the application can remain completely free of Cloud-related calls.

MapPSO is a tool for Ontology Alignment, which uses Discrete Particle Swarm Optimisation. A particle swarm is used to search for the optimal alignment. The algorithm is massively parallel and adapts naturally on parallel architectures.

[ Design and Implementation of the Singhal token based mutual exclusion algorithm in kernel-space of FreeBSD ] | Data & Network Security Lab (DNSL) | Room 501, Floor 5, | Department of Computer Engineering | Sharif University of Technology | Azadi Ave., Tehran, Iran Vahid Khodabakhshi <vkhodabakhshi@ce.sharif.edu> Vahid Ranjbar <vranjbar@ce.sharif.edu> Also see the Acknowledgement file Please send bugs to our e-mail

The SPASE Registry Services is a metadata sharing system for Virtual Observatories. It is a collection of servlets that utilize SPASE compliant resource descriptions to provide access to both the metadata and data.

vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.

Collection of Java tools and packages related to server-side (web application-oriented) XML processing, such as Adaptive XML Inclusions system with demo. Tools for personalization of XML content, Java-XML data binding and others will come later.