Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: Review, challenges, and a case study

IEEE Network

Volumn 30, Issue 2, 2016, Pages 54-61

  Baccarelli, Enzo ^a   Cordeschi, Nicola ^a   Mei, Alessandro ^a   Panella, Massimo ^a   Shojafar, Mohammad ^a   Stefa, Julinda ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; ENERGY EFFICIENCY; INFORMATION MANAGEMENT; MOBILE CLOUD COMPUTING; MOBILE COMPUTING;

BROADBAND INTERNET; DISTRIBUTED RESOURCES; FUTURE RESEARCH DIRECTIONS; INTEGRATED COMPUTING; PERFORMANCE ANALYSIS; PERFORMANCE COMPARISON; PERFORMANCE TRADE-OFF; RESOURCE MANAGEMENT;

BIG DATA;

EID: 84963938713     PISSN: 08908044     EISSN: 1558156X     Source Type: Journal    
DOI: 10.1109/MNET.2016.7437025     Document Type: Review

References (19)

1. S. Schneider, M. Hirzel, and B. Gedik, "Tutorial: Stream Processing Optimizations, " ACM DEBS, June 2013, pp. 249-58.
2. M. Shojafar et al., "Energy-Saving Adaptive Computing and Traffic Engineering for Real-Time-Service Data Centers, " IEEE ICCW 15, 2015, pp. 1800-06.
3. "Big Data in Big Companies, " SAS research rep., 2013.
4. L. Neumeyer et al., "S4: Distributed Stream Computing Platform, " Proc. ICDMW 10, 2010, pp. 170-77.
5. M. Zaharia et al., "Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters, " HotCloud, 2012.
6. Z. Qian et al., "TimeStream: Reliable Stream Computation in the Cloud, " EuroSys, 2013.
7. A. Kumbhare, Y. Simmhan, and V. K. Prasanna, "PLAstiCC: Predictive Look-Ahead Scheduling for Continuous Data-Flows on the Clouds, " CCGRID 2014.
8. Z. Zhou et al., "Carbon-Aware Load Balancing for Geo-Distributed Cloud Services, " Proc. IEEE MASCOTS 13, 2013, pp. 232-41.
9. D. M. Divakaran, T. N. Le, and M. Gurusamy, "An Online Integrated Resource Allocator for Guaranteed Performance in Data Centers, " IEEE Trans. Parallel Distrib. Sys., vol. 25, no. 6, June 2014, pp. 1382-92.
10. M. V. Barbera et al., "To Offload or Not to Offload? The Bandwidth and Energy Costs of Mobile Cloud Computing, " IEEE INFOCOM 2013.
11. K. Lee et al., "Mobile Data Offloading: How Much Can Wifi Deliver?" IEEE/ACM Trans. Networking, vol. 21, no. 2, Apr. 2013, pp. 536-50.
12. M. V. Barbera et al., "Mobile Offloading in the Wild: Findings and Lessons Learned through a Real-Life Experiment with a New Cloud-Aware System, " IEEE INFOCOM 2014.
13. N. Cordeschi et al., "Energy-Efficient Adaptive Networked Datacenters for the Qos Support of Real-Time Applications, " J. Supercomputing, vol. 71, no. 2, Feb. 2015, pp. 448-78.
14. M. Alizadeh et al., "Data center TCP (DTCP), " ACM SIGCOMM, 2010.
15. N. Cordeschi, D. Amendola, and E. Baccarelli, "Resource-Management for Vehicular Real-Time Applications Under Hard Reliability Constraints, Proceedings - IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT, 2014,pp:219-226.
16. S. Kosta et al., "Thinkair: Dynamic Resource Allocation and Parallel Execution in the Cloud for Mobile Code Offloading, " IEEE INFOCOM 2012.
17. N. Cordeschi, M. Shojafar, and E. Baccarelli, "Energy-Saving Self-Configuring Networked Data Centers, " Computer Networks, vol. 57, no. 17, Oct. 2013, pp. 3479-91.
18. D. Chisnall, The Definitive Guide to the Xen Hypervisor, Prentice Hall, 2007.
19. I. Stojmenovic, and S. Wen, "The Fog Computing Paradigm: Scenarios and Security Issues, " Proc. FedCSIS 2014.