Abstract—Mobile-edge cloud computing is a
new paradigm to provide cloud computing capabilities at the edge of pervasive
radio access networks in close proximity to mobile users. Aiming at
provisioning flexible on-demand mobile-edge cloud service, in this paper we propose
a comprehensive framework consisting of a resource-efficient computation
offloading mechanism for users and a joint communication and computation (JCC)
resource allocation mechanism for network operator. Specifically, we first
study the resource-efficient computation offloading problem for a user, in
order to reduce user’s resource occupation by determining its optimal
communication and computation resource profile with minimum resource occupation
and meanwhile satisfying the QoS constraint. We then tackle the critical
problem of user admission control for JCC resource allocation, in order to
properly select the set of users for resource demand satisfaction. We show the
admission control problem is NP-hard, and hence develop an efficient approximation
solution of a low complexity by carefully designing the user ranking criteria
and rigourously derive its performance guarantee. To prevent the manipulation
that some users may untruthfully report their valuations in acquiring
mobile-edge cloud service, we further resort to the powerful tool of critical
value approach to design truthful pricing scheme for JCC resource allocation.
Extensive performance evaluation demonstrates that the proposed schemes can
achieve superior performance for on-demand mobile-edge cloud computing.
CONCLUSION
Aiming at provisioning flexible mobile-edge cloud service, in
this paper we proposed a comprehensive framework consisting of a
resource-efficient computation offloading mechanism for the users and a joint
communication and computation (JCC) resource allocation mechanism for the
network operator. We first solved the resource-efficient computation offloading
problem for each Any Query Call Us: 9566355386
individual user, and
derive the optimal communication and computation resource demanding profile
that minimizes the resource occupancy and meanwhile satisfies the delay
constraint. We tackled the admission control problem for JCC resource
allocation, and developed an efficient approximation solution of a low
complexity. We also addressed the truthful pricing problem by resorting to the
powerful tool of critical value approach. Extensive performance evaluation
demonstrates that the proposed mechanisms can achieve superior performance for
on-demand mobile-edge cloud computing.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System : Pentium IV
2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44
Mb.
• Monitor : 15 VGA
Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
• Operating system : -
Windows XP/7.
• Coding Language :
JAVA/J2EE
• Data Base : MYSQL
REFERENCES
[1] K. Kumar and Y. Lu, ―Cloud computing for mobile
users: Can offloading computation save energy?‖ IEEE Computer, vol. 43,
no. 4, pp. 51–56, 2010. Any Query Call Us: 9566355386
[2] T. Soyata, R.
Muraleedharan, C. Funai, M. Kwon, and W. Heinzelman, ―Cloud-vision:
Real-time face recognition using a mobile-cloudletcloud acceleration
architecture,‖ in IEEE Symposium on Computers and Communications (ISCC),
2012.
[3] X. Chen, B. Proulx, X. Gong, and J. Zhang,
―Exploiting social ties for cooperative d2d communications: A mobile
social networking case,‖ IEEE/ACM Transactions on Networking, vol. 23,
no. 5, pp. 1471–1484, 2015.