Lightweight formalisation of adaptive middleware

2019 ◽  
Vol 97 ◽  
pp. 54-64 ◽  
Author(s):  
Nelson S. Rosa ◽  
Gláucia M.M. Campos ◽  
David J.M. Cavalcanti
Keyword(s):  
Adaptive Middleware

scholarly journals Adaptive middleware in go - a software architecture-based approach

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Nelson Rosa ◽  
David Cavalcanti ◽  
Gláucia Campos ◽  
André Silva
Keyword(s):  
Software Architecture ◽  
Adaptive Middleware

ScudWare: A Semantic and Adaptive Middleware Platform for Smart Vehicle Space

2007 ◽  
Vol 8 (1) ◽  
pp. 121-132 ◽  
Author(s):  
Zhaohui Wu ◽  
Qing Wu ◽  
Hong Cheng ◽  
Gang Pan ◽  
Minde Zhao ◽  
...  
Keyword(s):  
Adaptive Middleware ◽  
Smart Vehicle

Adaptive Middleware for Message Queuing Systems

2018 ◽  
pp. 57-61
Author(s):  
Christophe Taton ◽  
Noël de Palma ◽  
Sara Bouchenak
Keyword(s):  
Queuing Systems ◽  
Adaptive Middleware

scholarly journals A TAO-based adaptive middleware for pervasive computing

2021 ◽  
Vol 14 (2) ◽  
pp. 108
Author(s):  
Hui Liu ◽  
Fuli Qu ◽  
Zhenmei Yu ◽  
Yanhui Guo
Keyword(s):  
Pervasive Computing ◽  
Adaptive Middleware

Run-Time Compositional Software Platform for Autonomous NXT Robots

2019 ◽  
pp. 649-662
Author(s):  
Ning Gui ◽  
Vincenzo De Florio ◽  
Chris Blondia
Keyword(s):  
Autonomous Robots ◽  
Software Systems ◽  
Robot System ◽  
Unstructured Environments ◽  
System A ◽  
Adaptive Middleware ◽  
Context Knowledge ◽  
Run Time ◽  
Compositional Software ◽  
Robotic Applications

Autonomous Robots normally perform tasks in unstructured environments, with little or no continuous human guidance. This calls for context-aware, self-adaptive software systems. This paper aims at providing a flexible adaptive middleware platform to seamlessly integrate multiple adaptation logics during the run-time. To support such an approach, a reconfigurable middleware system “ACCADA” was designed to provide compositional adaptation. During the run-time, context knowledge is used to select the most appropriate adaptation modules so as to compose an adaptive system best-matching the current exogenous and endogenous conditions. Together with a structure modeler, this allows robotic applications' structure to be autonomously (re)-constructed and (re)-configured. This paper applies this model on a Lego NXT robot system. A remote NXT model is designed to wrap and expose native NXT devices into service components that can be managed during the run-time. A dynamic UI is implemented which can be changed and customized according to system conditions. Results show that the framework changes robot adaptation behavior during the run-time.

AMS: an adaptive middleware system for wireless ad hoc networks

2005 ◽  
Author(s):  
C.-Y.J. Chiang ◽  
R. Chadha ◽  
G. Levin ◽  
Shihwei Li ◽  
Yuu-Heng Cheng ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Adaptive Middleware ◽  
Hoc Networks
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