Abstract—This paper presents pocket caching, a prefetching
cache strategy to identify the data to be loaded in a mobile
node participating in a mobile cloud computing (MCC)
environment. MCC is a new paradigm and is consider as the
extension of mobile devices services in an elastic and
transparent way through the ubiquitous wireless access to
third-party computing and storage resources. New applications
are emerging in this context. They are mainly characterized by
large amount content generation in a collaborative and
dynamic way. Additionally, the user interaction (content access
and generation), depends on user location and interaction of
others users. User interaction may be affected by network
problems in some points of interest. This motivate pocket
caching proposal. Pocket caching to reduce data availability
issues in points of interest, designs a multi-objective
optimization strategy to include characteristics of MCC
environment and some application behaviors. This proposal
was validated using both the SPEA2 algorithm execution
performance and the quality of the results. The preliminary
results show good behavior.
Index Terms—Mobile cloud computing, multi-objective
optimization, prefetching cache.
The authors are with the Department of Systems and Computing
Engineering, University of Los Andes, Bogotá, Colombia (e-mail:
mavillam@uniandes.edu.com).
[PDF]
Cite:María del Pilar Villamil G. and Carlos Javier Urango M., "Pocket Caching: A Strategy of Prefetching Cache Based on Multi-objective Optimization for Mobile Cloud Computing," International Journal of Computer Theory and Engineering vol. 8, no. 2, pp. 94-101, 2016.
