scholarly journals METACONF: LEARNING BASED CONFIGURATION FILE DISCOVERY WITH FILE METADATA

2015 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Configuration File

scholarly journals Http Relay Binding (webHttpRelayBinding) and Crud Contract

2019 ◽  
pp. 51-54
Author(s):  
Dr. Manish L Jivtode
Keyword(s):  
World Wide Web ◽  
Web Services ◽  
Web Service ◽  
World Wide ◽  
Distributed Applications ◽  
Configuration File ◽  
Representational State Transfer ◽  
State Transfer ◽  
Representational State ◽  
Http Protocol

The Broker Architecture became popular involving client and server. Representational State Transfer(REST) architecture is the architecture of World Wide Web. REST uses HTTP protocol based on Servlet and ASMX technology is replaced by WCF web service technology. SOAP and REST are two kinds of WCF web services. REST is lightweight compared to SOAP and hence emerged as the popular technology for building distributed applications in the cloud. In this paper, conducted by exposing a HTTP endpoint address, HTTP relay binding (webHttpRelayBinding) and CRUD contract through interface. The interface is decorated using WebGet and WebInvoke attributes. WCF configuration file created using XML tags for use with REST web service.

Configuration File

2021 ◽  
pp. 181-193
Author(s):  
Shashank Shukla
Keyword(s):  
Configuration File

scholarly journals Synthesizing configuration file specifications with association rule learning

2017 ◽  
Vol 1 (OOPSLA) ◽  
pp. 1-20 ◽  
Author(s):  
Mark Santolucito ◽  
Ennan Zhai ◽  
Rahul Dhodapkar ◽  
Aaron Shim ◽  
Ruzica Piskac
Keyword(s):  
Association Rule ◽  
Rule Learning ◽  
Configuration File

Xtext-based eclipse editor for linker configuration file

2015 ◽  
Author(s):  
Danilo Kovacevic ◽  
Momcilo Krunic ◽  
Nenad Cetic ◽  
Jelena Kovacevic
Keyword(s):  
Configuration File

scholarly journals Kronos: a workflow assembler for genome analytics and informatics

2016 ◽  
Author(s):  
M Jafar Taghiyar ◽  
Jamie Rosner ◽  
Diljot Grewal ◽  
Bruno Grande ◽  
Radhouane Aniba ◽  
...  
Keyword(s):  
Feature Detection ◽  
Automated Analysis ◽  
Configuration File ◽  
Detection Methods ◽  
Reproducible Research ◽  
Robust Implementation ◽  
Free Open Source ◽  
Standard Framework ◽  
Python Package ◽  
Generation Sequencing

The field of next generation sequencing informatics has matured to a point where algorithmic advances in sequence alignment and individual feature detection methods have stabilized. Practical and robust implementation of complex analytical workflows (where such tools are structured into "best practices" for automated analysis of NGS datasets) still requires significant programming investment and expertise. We present Kronos, a software platform for automating the development and execution of reproducible, auditable and distributable bioinformatics workflows. Kronos obviates the need for explicit coding of workflows by compiling a text configuration file into executable Python applications. The framework of each workflow includes a run manager to execute the encoded workflows locally (or on a cluster or cloud), parallelize tasks, and log all runtime events. Resulting workflows are highly modular and configurable by construction, facilitating flexible and extensible meta-applications which can be modified easily through configuration file editing. The workflows are fully encoded for ease of distribution and can be instantiated on external systems, promoting and facilitating reproducible research and comparative analyses. We introduce a framework for building Kronos components which function as shareable, modular nodes in Kronos workflows. The Kronos platform provides a standard framework for developers to implement custom tools, reuse existing tools, and contribute to the community at large. Kronos is shipped with both Docker and Amazon AWS machine images. It is free, open source and available through PyPI (Python Package Index) and https://github.com/jtaghiyar/kronos. Keywords: genomics; workflow; pipeline; reproducibility

Automatic Generation of ESB Configuration File from Extended BPEL

Informatics ◽  
2010 ◽  
Author(s):  
A. Jongtaveesataporn ◽  
S. Takada
Keyword(s):  
Automatic Generation ◽  
Configuration File
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