Opportunistic Computation Offloading in Mobile Edge Cloud Computing Environments

作者: Muhammad Habib ur Rehman , Sun Liew Chee , Teh Ying Wah , Ahsan Iqbal , Prem Prakash Jayaraman

DOI: 10.1109/MDM.2016.40

关键词:

摘要: The dynamic mobility and limitations in computational power, battery resources, memory availability are main bottlenecks fully harnessing mobile devices as data mining platforms. Therefore, the augmented with cloud resources edge computing (MECC) environments to seamlessly execute tasks. MECC infrastructures provide compute, network, storage services one-hop wireless distance from minimize latency communication well localized computations reduce burden on federated systems. However, when how offload computation is a hard problem. In this paper, we present an opportunistic offloading scheme efficiently tasks environments. provides suitable execution mode after analyzing amount of unprocessed data, privacy configurations, contextual information, available on-board local (memory, CPU, power). We develop application for online activity recognition evaluate proposed using event stream 5 million activities collected 12 users 15 days. experiments show significant improvement time power consumption resulting 98% reduction.

参考文章(24)
Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes, Pocket Data Mining Framework Springer International Publishing. pp. 23- 40 ,(2014) , 10.1007/978-3-319-02711-1_3
Minhaj Ahmad Khan, A survey of computation offloading strategies for performance improvement of applications running on mobile devices Journal of Network and Computer Applications. ,vol. 56, pp. 28- 40 ,(2015) , 10.1016/J.JNCA.2015.05.018
Atta ur Rehman Khan, Mazliza Othman, Feng Xia, Abdul Nasir Khan, Context-Aware Mobile Cloud Computing and Its Challenges IEEE Cloud Computing. ,vol. 2, pp. 42- 49 ,(2015) , 10.1109/MCC.2015.62
Muhammad Habib ur Rehman, Chee Sun Liew, Teh Ying Wah, Frequent pattern mining in mobile devices: A feasibility study international conference on information technology. pp. 351- 356 ,(2014) , 10.1109/ICIMU.2014.7066658
Muhammad Habib ur Rehman, Chee Sun Liew, Teh Ying Wah, UniMiner: Towards a unified framework for data mining world congress on information and communication technologies. pp. 134- 139 ,(2014) , 10.1109/WICT.2014.7077317
Pari Delir Haghighi, Shonali Krishnaswamy, Arkady Zaslavsky, Mohamed Medhat Gaber, Abhijat Sinha, Brett Gillick, Open mobile miner: a toolkit for building situation-aware data mining applications Journal of Organizational Computing and Electronic Commerce. ,vol. 23, pp. 224- 248 ,(2013) , 10.1080/10919392.2013.807713
Muhammad Rehman, Chee Liew, Teh Wah, Junaid Shuja, Babak Daghighi, Mining Personal Data Using Smartphones and Wearable Devices: A Survey Sensors. ,vol. 15, pp. 4430- 4469 ,(2015) , 10.3390/S150204430
Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, Ashwin Patti, CloneCloud Proceedings of the sixth conference on Computer systems - EuroSys '11. pp. 301- 314 ,(2011) , 10.1145/1966445.1966473
Marco V. Barbera, Sokol Kosta, Alessandro Mei, Julinda Stefa, To offload or not to offload? The bandwidth and energy costs of mobile cloud computing 2013 Proceedings IEEE INFOCOM. pp. 1285- 1293 ,(2013) , 10.1109/INFCOM.2013.6566921
Mahadev Satyanarayanan, A Brief History of Cloud Offload: A Personal Journey from Odyssey Through Cyber Foraging to Cloudlets GetMobile: Mobile Computing and Communications. ,vol. 18, pp. 19- 23 ,(2015) , 10.1145/2721914.2721921