Using Filtered Cartesian Flattening and Microrebooting to Build Enterprise Applications with Self-adaptive Healing

2009 ◽  
pp. 241-260 ◽  
Author(s):  
J. White ◽  
B. Dougherty ◽  
H. D. Strowd ◽  
D. C. Schmidt
Keyword(s):  
Enterprise Applications ◽  
Self Adaptive

scholarly journals Development and Instrumentation of a Framework for the Generation and Management of Self-Adaptive Enterprise Applications

2016 ◽  
Vol 20 (2) ◽  
pp. 303 ◽  
Author(s):  
Hugo Arboleda ◽  
Andrés Paz ◽  
Miguel Jiménez ◽  
Gabriel Tamura
Keyword(s):  
Software Maintenance ◽  
Architectural Design ◽  
Dynamic Nature ◽  
Software Applications ◽  
Enterprise Applications ◽  
Heavy Burden ◽  
Self Adaptation ◽  
Reference Implementation ◽  
Self Adaptive ◽  
Automated Derivation

Companies’ operations have become over-dependent on their supporting enterprise software applications. This situation has placed a heavy burden onto software maintenance teams who are expected to keep these applications up and running optimally in varying execution conditions. However, this high human intervention drives up the overall costs of software ownership. In addition, the current dynamic nature of enterprise applications constitutes challenges with respect to their architectural design and development, and the guarantee of the agreed quality requirements at runtime. Efficiently and effectively achieving the adaptation of enterprise applications requires an autonomic solution. In this paper we present SHIFT, a framework that provides (i) facilities and mechanisms for managing self-adaptive enterprise applications through the use of an autonomic infrastructure, and (ii) automated derivation of self-adaptive enterprise applications and their respective monitoring infrastructure. Along with the framework, our work leads us to propose a reference specification and architectural design for implementing self-adaptation autonomic infrastructures. We developed a reference implementation of SHIFT; our contribution includes the development of monitoring infrastructures, and dynamic adaptation planning and automated derivation strategies.

Self-zeroing self-adaptive control system

1963 ◽  
Vol 110 (12) ◽  
pp. 2280
Author(s):  
P.N. Nikiforuk ◽  
E.K. Lashyn
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Adaptive Control System ◽  
Self Adaptive

Self-Adaptive and Adaptive Parameter Control in Improved Artificial Bee Colony Algorithm

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 415-438 ◽  
Author(s):  
Bekir Afşar ◽  
Doğan Aydin ◽  
Aybars Uğur ◽  
Serdar Korukoğlu
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Parameter Control ◽  
Adaptive Parameter ◽  
Bee Colony ◽  
Adaptive Parameter Control ◽  
Self Adaptive

Fuzzy Self-Adaptive Soccer Robot Behavior Decision System Design through ROS

2018 ◽  
Vol 62 (3) ◽  
pp. 304011-3040111 ◽  
Author(s):  
Shih-An Li ◽  
Hsuan-Ming Feng ◽  
Sheng-Po Huang ◽  
Chen-You Chu
Keyword(s):  
System Design ◽  
Soccer Robot ◽  
Decision System ◽  
Robot Behavior ◽  
Self Adaptive

Self adaptive filtering of environmental noises from speech

1984 ◽  
Author(s):  
D. GRAUPE ◽  
J. GROSSPIETSCH ◽  
S. BASSEAS
Keyword(s):  
Adaptive Filtering ◽  
Self Adaptive
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