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HighFrame: An integrated solution for developing component-based distributed systems

Published: 02 April 2014 Publication History

Abstract

The development of distributed systems has become a complex task. An approach that has become widely accepted in this context is the component-based development. However, the effort aimed at developing technical code for component models and remote communications is yet a discouraging obstacle. In this paper we present HighFrame, a framework that provides to developers a high level development solution for component-based distributed systems. The framework is designed to provide automatic generation of components based on code annotations and a graphical planner. This proposal abstracts from developer the complexity of component models, methods of distributed communication and interoperability among different models.

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Published In

cover image ACM Conferences
EATIS '14: Proceedings of the 7th Euro American Conference on Telematics and Information Systems
April 2014
174 pages
ISBN:9781450324359
DOI:10.1145/2590651
  • Co-chair:
  • Claudio Cubillos,
  • General Chair:
  • Cristian Rusu,
  • Program Chair:
  • Dorian Gorgan
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 April 2014

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Author Tags

  1. attribute-oriented programming
  2. components generation
  3. deployment

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EATIS'14
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EATIS '14 Paper Acceptance Rate 17 of 64 submissions, 27%;
Overall Acceptance Rate 17 of 64 submissions, 27%

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