Context-Aware Systems and Applications
Emil Vassev
0
Son Vuong
0
0
S. Vuong University of British Columbia
,
Vancouver, Canada
1
) Lero at University of Limerick
, Limerick,
Ireland
1 Foreword
This special issue, with five papers extended from
selected contributions to The 1st International Conference
on Context-Aware Systems and Applications (ICCASA
2012) held in Ho Chi Minh City of Vietnam, will serve
as a reference material for researchers, scientists,
professionals and students in computer science and
computer engineering as well as developers and practitioners
in computing and networking systems design by
providing them with state-of-the-art research findings and
future opportunities and trends. These papers include
some recent advances in context-awareness reflected in
this special issue. In particular, the special issue covers
various aspects of context-awareness as follows:
Paper 1 by Kaiyu Wan and Vangalur Alagar provides
the current state of the art of Cyber-Physical Systems
(CPS) security, identifies the issues surrounding secure
control, and investigates the extent to which context
information may be used to improve security and
survivability of CPS.
Paper 2 by Phan Cong Vinh presents agent-based
ubiquitous computing (AUC), a form of distributed
computing, by which computational processes are
executed concurrently by assigning each computational
process to one of agents on a ubiquitous computing system
(UCS). The overarching goal of AUC is to support the
seamless integration of information and services. To this
end, taking advantage of the categorical structures, this
paper develops a firm formal approach to formalize the
AUC for information and service integration.
Paper 3 by Angelo Furno and Eugenio Zimeo proposes a
design approach based on a semantic model for context
representation. It is an extension of the OWL-S ontology aimed at
enriching the expressiveness of each section of a typical
OWL-S semantic service description, by means of context
conditions and adaptation rules. By having access to
continuously updated context information, these descriptions can be
exploited by a discovery/composition tool to automatically
find the atomic or composite services that can be
bettertuned to the requestors behaviors and to the particular
situations of the surrounding environment.
Paper 4 by Nguyen Thanh Tung proposes two methods to
optimize the lifetime of chain-based protocols using Integer
Linear Programming (ILP) formulations. Also, a method to
determine the bounds of the lifetime for any energy-efficient
routing protocol is presented. Furthermore, previous
researches assume that the base station position is randomly
placed without optimization. In this paper, a non-convex
optimization model is developed for solving the base station
location optimization problem.
P a p e r 5 b y A r e e r a t S o n g w a t t a n a , T h a n a r u k
Theeramunkong and Phan Cong Vinh presents a
socalled Learning Based Replacement (LBR) algorithm, a
hybrid approach towards an efficient replacement model
for web caching by incorporating a machine learning
technique (naive Bayes) into the Least Recently Used
(LRU) replacement method to improve prediction of
possibility that an existing page will be revised by a
succeeding request, from access history in a web log.
We owe our deepest gratitude to Dr. Nguyen Manh
HungChairman and Rector of Nguyen Tat Thanh
University in Vietnam for his useful support, especially
to all the authors for their valuable contribution to this
special issue and their great efforts, and also to the
referees for ensuring the high quality of the material
presented here. All of them are extremely professional
and cooperative. We wish to express our thanks to the
Editor-in-Chief, Prof. Imrich Chlamtac, for his important
assistance with the process of assembling the special
issue.
Dr. Emil Vassev received his
M.Sc. in Computer Science
(2005) and his Ph.D. in Computer
Science (2008) from Concordia
University, Montreal, Canada.
Currently, he is a research fellow
at Lero (the Irish Software
Engineering Research Centre) at
University of Limerick, Ireland where
he is leading the Leros
participation in the ASCENS FP7 project
and the Leros joint project with
ESA on Autonomous Software
S y s t e m s D e v e l o p m e n t A p
proaches. His research focuses
on knowledge representation and awareness for self-adaptive systems.
A part from the main research, Dr. Vassevs research interests include
engineering autonomic systems, distributed computing, formal methods,
cyber-physical systems and software engineering. He has published two
books and over 100 internationally peer-reviewed papers. As part of his
collaboration with NASA, Vassev has been awarded one patent with
another one pending.
Prof. Dr. Son Vuong received his
B.S. in Electrical Engineering
from California State University,
Sacramento, USA; M.Eng. in
Systems Engineering at Carleton
University in Ottawa, Canada;
and Ph.D. in Computer Science
from the University of Waterloo,
Canad (...truncated)