Optimizing the Utility Function-Based Self-adaptive Behavior of Context-Aware Systems Using User Feedback

被引:0
|
作者
Kakousis, Konstantinos [1 ]
Paspallis, Nearchos [1 ]
Papadopoulos, George A. [1 ]
机构
[1] Univ Cyprus, Dept Comp Sci, CY-1678 Nicosia, Cyprus
关键词
Context-aware; Self-adaptation; Utility functions; User feedback;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The vision of ubiquitous computing is about numerous devices embedded ill Our every-day environment, designed to serve humans in a nonobtrusive manner while minimizing the required user attention. These devices are expected to seamlessly monitor context changes and adapt their behavior and functionality to maximize the User benefit. However, designing the self-adaptive logic of such systems is far from trivial. This paper discusses a utility function-based approach for specifying the adaptive behavior of component-based context-aware systems. Although this approach allows for completely autonomous self-adaptive behavior, it also leverages potential user feedback by adjusting and optimizing its behavior. It is argued that this approach provides significant improvement to the adaptive behavior of a system while maintaining the required user attention to a minimum. At the same time, it keeps the complexity involved in the development Of Such context-aware, self-adaptive applications to a reasonably low level.
引用
收藏
页码:657 / 674
页数:18
相关论文
共 50 条
  • [1] Leveraging State-Based User Preferences in Context-Aware Reconfigurations for Self-Adaptive Systems
    Mori, Marco
    Li, Fei
    Dorn, Christoph
    Inverardi, Paola
    Dustdar, Schahram
    [J]. SOFTWARE ENGINEERING AND FORMAL METHODS, 2011, 7041 : 286 - +
  • [2] Self-adaptive service deployment in context-aware systems
    Guerrero-Contreras, Gabriel
    Garrido, José Luis
    Rodríguez-Domínguez, Carlos
    Balderas-Díaz, Sara
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8867 : 259 - 262
  • [3] A Self-Adaptive Context-Aware Group Recommender System
    Khoshkangini, Reza
    Pini, Maria Silvia
    Rossi, Francesca
    [J]. AI*IA 2016: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2016, 10037 : 250 - 265
  • [4] A Self-Adaptive Context-Aware Model for Mobile Commerce
    Naveed, Munir
    [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, ICIC 2015, PT III, 2015, 9227 : 618 - 625
  • [5] Efficient Context-Aware Selection Based on User Feedback
    Lee, Byoung-Hoon
    Kim, Deok-Hwan
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2012, 58 (03) : 978 - 984
  • [6] A framework for context-aware self-adaptive mobile applications SPL
    Mizouni, Rabeb
    Abu Matar, Mohammad
    Al Mahmoud, Zaid
    Alzahmi, Salwa
    Salah, Aziz
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (16) : 7549 - 7564
  • [7] Designing a Self-adaptive and Context-aware Service Composition System
    Wang, Boxue
    Tang, Xinhuai
    [J]. 2014 IEEE COMPUTING, COMMUNICATIONS AND IT APPLICATIONS CONFERENCE (COMCOMAP), 2014, : 155 - 160
  • [8] ContextErlang: A language for distributed context-aware self-adaptive applications
    Salvaneschi, Guido
    Ghezzi, Carlo
    Pradella, Matteo
    [J]. SCIENCE OF COMPUTER PROGRAMMING, 2015, 102 : 20 - 43
  • [9] Context-aware and self-adaptive trust model for pervasive computing
    Wang, Jiang-Tao
    Chen, Zhi-Gang
    Deng, Xiao-Heng
    [J]. Tongxin Xuebao/Journal on Communications, 2012, 33 (11): : 41 - 48
  • [10] Self-Adaptive Middleware for the Design of Context-Aware Software Applications in Public Transit Systems
    Rahnama, Hossein
    Kramaric, Petar
    Sadeghian, Alireza
    Shepard, Alan
    [J]. UBICOMP'11: PROCEEDINGS OF THE 2011 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING, 2011, : 491 - 492