FOLLOW-ME CLOUD: WHEN CLOUD SERVICES FOLLOW MOBILE USERS
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The document proposes a framework called Follow-Me Cloud (FMC) that allows cloud services to follow mobile users as they move. FMC uses a Markov-Decision-Process algorithm to make cost-effective decisions about migrating services to optimal cloud locations based on users' mobility. Two alternative FMC architectures are developed using Software Defined Networking and Locator/Identifier Separation Protocol to ensure service continuity. Analytic modeling and testbed experiments show FMC can optimize mobile cloud service delivery and is feasible for real-world use.
![CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
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[Online]. Available: http: //www.ietf.org/internet-drafts/draft-ietf-lisp-13.txt](https://image.slidesharecdn.com/follow-mecloudwhencloudservicesfoll-160722051531/85/FOLLOW-ME-CLOUD-WHEN-CLOUD-SERVICES-FOLLOW-MOBILE-USERS-3-320.jpg)
FOLLOW-ME CLOUD: WHEN CLOUD SERVICES FOLLOW MOBILE USERS
- 1. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: [email protected], [email protected] Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com FOLLOW-ME CLOUD: WHEN CLOUD SERVICES FOLLOW MOBILE USERS Abstract The trend towards the cloudification of the 3GPP LTE mobile network architecture and the emergence of federated cloud infrastructures call for alternative service delivery strategies for improved user experience and efficient resource utilization. We propose Follow-Me Cloud (FMC), a design tailored to this environment, but with a broader applicability, which allows mobile users to always be connected via the optimal data anchor and mobility gateways, while cloud-based services follow them and are delivered via the optimal service point inside the cloud infrastructure. FMC applies a Markov- Decision-Process-based algorithm for cost-effective, performance-optimized service migration decisions, while two alternative schemes to ensure service continuity and disruption-free operation are proposed, based on either Software Defined Networking technologies or the Locator/Identifier Separation Protocol. Numerical results from our analytic model for FMC, as well as testbed experiments with the two alternative FMC implementations we have developed, demonstrate quantitatively and qualitatively the advantages it can bring about. CONCLUSION We presented our vision towards the enhanced delivery of cloud-based services to mobile users, tackling mobility-related challenges and offering an
- 2. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: [email protected], [email protected] Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com optimized user experience. We have designed Follow-Me Cloud, a framework that enables cloud services to “follow” users on the move, by performing sophisticated decisions to migrate service resources to the appropriate cloud infrastructure locations. We have defined an analytic model for the behavior of our system, and build on it to propose a Markov-Decision-Process-based algorithm for service migration decisions, which captures the tradeoff between migration cost and user experience. We have further developed two alternative FMC architecture designs, one which is based on SDN technologies and one making use of the LISP protocol. The presented numerical results from our model, as well as experiments with our SDN and LISP-based testbeds, demonstrate the potential of our approach for optimized mobile cloudbased service delivery and its feasibility for real-world deployment. REFERENCES. *1+ Cisco, “Cisco Visual Networking Index: Forecast and Methodology, 2013- 2018,” White Paper, June 2014. *Online+. Available: http://goo.gl/xoBrTA *2+ T. Taleb, K. Samdanis, and A. Ksentini, “Supporting highly mobile users in cost-effective decentralized mobile operator networks,” IEEE Trans. Veh. Technol., vol. 63, no. 7, pp. 3381–3396, Sep. 2014. *3+ L. Lei, Z. Zhong, K. Zheng, J. Chen, and H. Meng, “Challenges on wireless heterogeneous networks for mobile cloud computing,” IEEE Wireless Communications, vol. 20, no. 3, pp. 34–44, June 2013.
- 3. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: [email protected], [email protected] Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com [4] B. Frank, I. Poese, G. Smaragdakis, A. Feldmann, B. Maggs, S. Uhlig, V. Aggarwal, and F. Schneider, “Collaboration Opportunities for Content Delivery and Network Infrastructures,” ACM SIGCOMM ebook on Recent Advances in Networking, vol. 1, Aug. 2013. [5] R. Moreno-Vozmediano, R. Montero, and I. Llorente, “IaaS cloud architecture: From virtualized datacenters to federated cloud infrastructures,” IEEE Computer, vol. 45, no. 12, pp. 65–72, Dec. 2012. *6+ 3GPP, “TS 23.002, Network Architecture,” Dec. 2014, release 13. *7+ H. Wang, S. Chen, H. Xu, M. Ai, and Y. Shi, “SoftNet: A software defined decentralized mobile network architecture toward 5G,” Network, IEEE, vol. 29, no. 2, pp. 16–22, Mar. 2015. [8] T. Taleb, M. Corici, C. Parada, A. Jamakovic, S. Ruffino, G. Karagiannis, and T. Magedanz, “EASE: EPC as a service to ease mobile core network deployment over cloud,” Network, IEEE, vol. 29, no. 2, pp. 78–88, Mar. 2015. *9+ T. Taleb and A. Ksentini, “Follow me cloud: interworking federated clouds and distributed mobile networks,” IEEE Network, vol. 27, no. 5, pp. 12–19, 2013. *10+ D. Farinacci, V. Fuller, D. Meyer, and D. Lewis, “Locator/id separation protocol (lisp),” Working Draft, IETF Secretariat, Internet-Draft draft-ietf-lisp- 13, Jun. 2011, http://www.ietf.org/ internet-drafts/draft-ietf-lisp-13.txt. [Online]. Available: http: //www.ietf.org/internet-drafts/draft-ietf-lisp-13.txt
- 4. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: [email protected], [email protected] Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com *11+ A. Ksentini, T. Taleb, and F. Messaoudi, “A LISP-Based Implementation of Follow Me Cloud,” IEEE Access, vol. 2, pp. 1340–1347, 2014.