TY - GEN
T1 - A research roadmap for context-awareness-based self-managed systems
AU - Zhang, Weishan
AU - Hansen, Klaus Marius
AU - Bellavista, Paolo
PY - 2013
Y1 - 2013
N2 - Cloud computing, autonomic computing, pervasive and mobile computing tends to converge, maximizing the benefits from different computing paradigms. This convergence makes emerging applications such as search and rescue applications, smart city and smart planet applications, e.g., to minimize the power consumption of a full city to achieve green computing vision, more promising on the one hand, but more complex to manage on the other hand. Interesting research questions arise due to this convergence. For example, how to efficiently retrieve underlying contexts that are difficult to recognize especially with resource-limited handheld devices, how to make use of these contexts for achieving self-management, and how to process large-scale contexts. These challenges require that researchers from software engineering, artificial intelligence, pattern recognition, high-performance distributed systems, cloud and mobile computing, etc. collaborate in order to make systems work in an efficiently self-managed manner.
AB - Cloud computing, autonomic computing, pervasive and mobile computing tends to converge, maximizing the benefits from different computing paradigms. This convergence makes emerging applications such as search and rescue applications, smart city and smart planet applications, e.g., to minimize the power consumption of a full city to achieve green computing vision, more promising on the one hand, but more complex to manage on the other hand. Interesting research questions arise due to this convergence. For example, how to efficiently retrieve underlying contexts that are difficult to recognize especially with resource-limited handheld devices, how to make use of these contexts for achieving self-management, and how to process large-scale contexts. These challenges require that researchers from software engineering, artificial intelligence, pattern recognition, high-performance distributed systems, cloud and mobile computing, etc. collaborate in order to make systems work in an efficiently self-managed manner.
U2 - 10.1007/978-3-642-37804-1_28
DO - 10.1007/978-3-642-37804-1_28
M3 - Article in proceedings
SN - 978-3-642-37803-4
T3 - Lecture notes in computer science
SP - 275
EP - 283
BT - Service-oriented computing - ICSOC 2012 Workshops
A2 - Ghose, Aditya
A2 - Zhu, Huibiao
A2 - Yu, Qi
A2 - Delis, Alex
A2 - Sheng, Quang Z.
A2 - Perrin, Oliver
A2 - Wang, Jianmin
A2 - Wang, Yan
PB - Springer
T2 - ICSOC 2012
Y2 - 12 November 2012 through 15 November 2012
ER -