Image Processing Reference
In-Depth Information
communication and network technologies. However, the provision of sophisticated
applications through advanced multimedia systems arises a number of issues that
have to be investigated. Among the envisioned challenges are the signal processing,
power and networking management issues, while optimization of content delivery
is also crucial when considering such demanding application. Moreover, the
exploitation of cloud resource management techniques has to be considered for
efficiently overcoming problems regarding systems resources limitations, such as
processor power, memory capacity, and network bandwidth. Resource management
systems are responsible to allocate cloud resources to users and applications with
flexibility, maintaining service isolation [
4
,
5
]. Such systems are expected to
operate under the predefined quality of service (QoS) requirements as set by the
users. For this purpose, resource management at cloud scale requires a rich set of
resource and task management schemes that are capable to efficiently manage the
provision of QoS requirements, while maintaining total system efficiency. The
greatest challenge for this optimization problem is that of the scalability in the
context of performance evaluation and measurement. Within this context, the use of
dynamic resource allocation policies improves application execution performance,
as well as the utilization of resources [
6
].
Towards overcoming the abovementioned challenges a number of research
approaches have been proposed. More specifically, authors in [
7
] propose a
media-cloud network architecture that administers in a distributed and parallel
manner the units of multiple devices to obtain a high QoS in multimedia services.
This approach elaborates on storage issues of multimedia content, the central
processing unit that selects the speed of transfer, as well as the editing and the
graphics processing unit, which is responsible for the depiction of multimedia
content to provide high QoS to the users. This architecture enables the elimination
of software installation in users
devices, while at the same time the storage and the
processing of user multimedia application are performed in the cloud. However, the
challenge in mobile media applications and services is the provision of QoS,
considering delay, jitter, and bandwidth performance. Moreover, authors in [
8
]
present a framework that promises ubiquitous multimedia services provision over
mobile devices. These services have the advantage of resilience in cloud computing
and in cloud storage, while they do not meet issues, such as the limited device
capabilities or content availability. On the other hand, these services are hampered
by issues of next generation devices [
9
]. More specifically, the smart phones
manage a large amount of users
'
contextual information, but most of this informa-
tion is not correlated with media context to enrich the multimedia services on
mobile computing platforms. In addition, the interoperability of contextual infor-
mation has to be investigated for different mobile devices with the existing
resources on the web, as well as the chance to exploit context-aware services in
application for mobile devices. In that case, the exploitation of QoE techniques
from the users
'
side has the possibility to provide the proper manipulation and
'
management,
regarding the quality provision in the cloud-based network
architecture.
