Adaptive run-time scheduling of dependent services for service-oriented IoT systems

2021 ◽  
Author(s):  
Jangryul Kim ◽  
Kangkyu Park ◽  
Hoeseok Yang ◽  
Soonhoi Ha
Keyword(s):  
Time Scheduling ◽  
Service Oriented ◽  
Run Time

Pre-run-time scheduling to reduce schedule length in the FieldBus environment

1995 ◽  
Vol 21 (11) ◽  
pp. 865-880 ◽  
Author(s):  
S. Cavalieri ◽  
A. Di Stefano ◽  
O. Mirabella
Keyword(s):  
Schedule Length ◽  
Time Scheduling ◽  
Run Time

Modeling run-time adaptation at the system architecture level in dynamic service-oriented environments

2013 ◽  
Vol 8 (1) ◽  
pp. 73-89 ◽  
Author(s):  
Nikolaus Huber ◽  
André van Hoorn ◽  
Anne Koziolek ◽  
Fabian Brosig ◽  
Samuel Kounev
Keyword(s):  
System Architecture ◽  
Service Oriented ◽  
Run Time

Compile time preparations for run time scheduling in monitors

1978 ◽  
Vol 18 (1) ◽  
pp. 72-83 ◽  
Author(s):  
Stein Gjessing
Keyword(s):  
Time Scheduling ◽  
Run Time

Pre-Run-Time Scheduling Methods of Data Link Layer in the Fieldbus Environment

1997 ◽  
Vol 30 (15) ◽  
pp. 85-90
Author(s):  
Young Shin Kim ◽  
Wook Hyun Kwon
Keyword(s):  
Data Link ◽  
Link Layer ◽  
Data Link Layer ◽  
Time Scheduling ◽  
Run Time

scholarly journals Various Extensions for the Ambient OSGi Framework

2012 ◽  
pp. 208-219
Author(s):  
Stéphane Frénot ◽  
Frédéric Le Mouël ◽  
Julien Ponge ◽  
Guillaume Salagnac
Keyword(s):  
Virtual Machine ◽  
Ambient Intelligence ◽  
Limited Resource ◽  
Java Virtual Machine ◽  
Programming Paradigm ◽  
Resource Requirements ◽  
Component Approach ◽  
Service Oriented ◽  
Run Time ◽  
Concurrent Applications

OSGi is a wrapper above the Java Virtual Machine that embraces two concepts: component approach and service-oriented programming. The component approach enables a Java run-time to host several concurrent applications, while the service-oriented programming paradigm allows the decomposition of applications into independent units that are dynamically bound at runtime. Combining component and service-oriented programming greatly simplifies the implementation of highly adaptive, constantly evolving applications. This, in turn, is an ideal match to the requirements and constraints of ambient intelligence computing, such as adaptation to changes associated with context evolution. OSGi particularly fits ambient requirements and constraints by absorbing and adapting to changes associated with context evolution. However, OSGi needs to be finely tuned in order to integrate ambient specific issues. This paper focuses on Zero-configuration architecture, Multi-provider framework, and Limited resource requirements. The authors studied many OSGi improvements that should be taken into account when building OSGi-based gateways. This paper summarizes the INRIA Amazones teamwork (http://amazones.gforge.inria.fr/) on extending OSGi specifications and implementations to cope with ambient concerns. This paper references three main concerns: management, isolation, and security.

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