22-05-2013, 02:24 PM
Mobile Cloud Computing Service Based on Heterogeneous Wireless and Mobile P2P Networks
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Abstract
In this paper, an investigation toward mobile P2P
architecture brings a new insight to realize future mobile cloud
computing systems. Although mobile devices capacity in storing
data and running computational process is very limited, the main
problem for implementing mobile cloud computing environment
is still motivated by the classic issue of information properties
query process. Heterogeneous wireless networks (HWNs)
architecture then exploited to solve this fundamental problem.
The HWNs information properties dispersion model based on
coverage area of mobile node aid to simplify the querying process.
By HWN and mobile P2P integration a reliable mobile cloud
computing service can perform services and resources exchange
among peer nodes. In addition this integrated architecture gives
the extension of mobile P2P into Network as a Service (NaaS)
approach to resource sharing among mobile users.
INTRODUCTION
CURRENTLY, peer to peer (P2P) applications are among
the most popular information technologies. It is worth
noting that the use of P2P applications has increased with
that of personal communication devices. P2P applications
dramatically enhance user experiences and allow users to be
connected with each other without relying on a particular
network infrastructure.
For distributing data and exchanging information, P2P is
an alternative to the centralized network infrastructure (clientserver)
approach. In a P2P implementation, a specific method
is required to arrange the P2P architecture so as to enable
cooperative functions to exchange computing resources and
application information. The purpose behind the P2P structure
is to solve the information querying problem, which is
generally regarded as the classic problem of P2P networks.
In the past, this problem has attracted the attention of many
researchers, who have also attempted to solve this problem
and improve P2P network capability. Various methodologies
such as the structured [1], unstructured [2], overlay network
topology [3], super-peer [4], and hybrid methods [5] have been
proposed to create of a powerful information querying system
for P2P networks.
HWNS-MOBILE P2P ARCHITECTURE
This section discusses about the purposed architecture
of mobile P2P networks supported by HWNs. HWNs that
combine 3G/UMTS, WLAN / WiFi, and WiMAX access
technologies bring high quality services to mobile users and,
at the same time, provide ubiquitous access environment. In
HWNs, it is well known that there are two types of scenario:
loosely coupling and tight coupling. The HWNs-Mobile P2P
integration case for mobile cloud computing, each scenario is
necessary to be discussed in different approach. Tight coupling
offers more simple network architecture and implementation.
Thus, in this paper, since we emphasize our discussion on how
information property can be shared among peers in mobile P2P
network, tight coupling architecture is adopted to be the base
of our HWNs scenario.
INFORMATION PROPERTIES DISPERSION IN HWN
Network Model
Model of heterogeneous wireless networks (HWNs) and
some assumptions to support the mobile P2P model are
discussed in detail in this section. HWNs consists of n types
of wireless access technology, with i base stations or access
points, denoted by S, which are scattered randomly on twodimensional
a spatial area denoted by U. In the are U, mobile
devices hereinafter referred as mobile nodes are denoted by
M and located randomly as mobile P2P networks. There also
assume that HWNs is totally independent; therefore, the arrangement
of M t located in the same sub-network is ignored.
Assume that the n = 3, which implies that only three kinds of
wireless technology are used: UMTS, WiMAX, and WiFI. Each
Sn(i) will cover a fixed area An(i), which for WiFi is assumed
to be circular while the other two wireless technologies are
hexagonal. Each Sn(i) obtains network information according
to the network quality parameters. It is well known that the
commonly used network parameters are bandwidth, delay,
radio signal strength (RSS), coverage distance and the number
of current connected nodes.
Mobile Node State and Information Possession
First we assume that mobile nodes are scattered randomly
on the HWN. Each mobile node has relative position in U
with a particular coordinate. The relative positions of a mobile
node depend its movement and speed behavior; thus, during
a mobile node’s lifetime, several states can be experienced.
Consequently, the coordinate assignation in U will also be
changed by a movement with average speed denoted as v.
We denote the experience states of mobile nodes as . The
experience states can be categorized into two possible types:
mobile node that are idle, denoted as idle, and mobile node
that move with constant speed, denoted as move.
CONCLUSION
Integrated HWNs and mobile P2P networks are proposed
and analyzed to bring the new concept in constructing mobile
cloud computing system. Using information dispersion
analysis of HWNs, the proposed integrated architecture has
envisioned the model and the issues in realizing mobile cloud
computing system.