GreeDi: An energy efficient routing algorithm for big data on cloud
Tài liệu tham khảo
E. Gleeson, Computing industry set for a shocking change. http://moneyweek.com/computing-industry-set-for-a-shocking-change-43226/, online 07, 2013.
T.A. Luxembourg, Vat aspects of cloud computing in luxembourg, online 07, 2013.
K. Flinders, University of Salford makes £5.7m cloud computing investment. http://www.computerweekly.com/news/1280095022/University-of-Salford-makes-57m-cloud-computing-investment, online 07, 2013.
L. Zyga, How energy-efficient is cloud computing?. http://phys.org/news/2010-10-energy-efficient-cloud.html, online 07, 2013.
L.C. Yee, Google to invest $300 million in hong kong data center. http://www.reuters.com/article/2011/12/08/us-google-hongkong-idUSTRE7B70BU20111208, online 07,2013.
P. Seybold, Cloud computing/mobile computing/network bandwidth, green data centers and telehousing. http://outsideinnovation.blogs.com/pseybold/2010/09/cloud-computingmobile-computingnetwork-bandwidth-green-data-centers-and-telehousing.html, online 07,2013.
Olivier, 2011
P. Baer, Exploring the 2020 global emissions mitigation gap. http://www.ippr.org/uploadedFiles/globalclimatenetwork/Exploring_the_Mitigation_Gap%5b1%5d.pdf, 2008.
S. Kuma, R. Buyya, Green Cloud Computing and Environmental Sustainability, John Wiley and Sons, Ltd., pp. 315–339. 10.1002/9781118305393.ch16
Wang, 2004, A comprehensive minimum energy routing scheme for wireless ad hoc networks
Jinhua Zhu, 2011, Model and protocol for energy-efficient routing over mobile ad hoc networks, IEEE Trans. Mob. Comput., 10, 1546, 10.1109/TMC.2010.259
Suman Banerjee, 2002, Minimum energy paths for reliable communication in multi-hop wireless networks, 146
Keith Scott, 1996, Routing and channel assignment for low power transmission in pcs, vol. 2
Volkan Rodoplu, 1999, Minimum energy mobile wireless networks, IEEE J. Sel. Areas Commun., 17, 1333, 10.1109/49.779917
Zhang, 2013, Moving big data to the cloud, 405
Zhang, 2013, Moving big data to the cloud: an online cost-minimizing approach, IEEE J. Sel. Areas Commun, 31, 2710, 10.1109/JSAC.2013.131211
Gattulli, 2012, Low-carbon routing algorithms for cloud computing services in IP-over-WDM networks, 2999
Kantarci, 2012, Optimal reconfiguration of the cloud network for maximum energy savings, 835
Liu, 2009, Greencloud: a new architecture for green data center, 29
Conejero, 2013, Characterising the power-performance trade off in hadoop clouds: a social media analysis case study, 1
Van, 2010, Performance and power management for cloud infrastructures, 329
Laszewski, 2010, Greenit service level agreements, 77
Satoh, 2013, Total energy management system for cloud computing, 233
Lin, 2011, Energy-efficient virtual machine provision algorithms for cloud systems, 81
Al-Daoud, 2012, Power-aware linear programming based scheduling for heterogeneous computer clusters, Future Gener. Comp. Syst., 28, 745, 10.1016/j.future.2011.04.001
Baker, 2013, Towards autonomic cloud services engineering via intention workflow model, vol. 8193, 212
Kawamoto, 2000, Electricity used by office equipment and network equipment in the US: detailed report and appendices
Barthel, 2001, GHG emission trends of the internet in Germany
Volker, 2001
Lanzisera, 2010, Data network equipment energy use and savings potential in buildings
Baliga, 2009, Energy consumption in optical IP networks, J. Lightw. Technol., 27, 2391, 10.1109/JLT.2008.2010142
Kilper, 2010, Power trends in communication networks, IEEE J. Sel. Top. Quantum Electron., 17, 275, 10.1109/JSTQE.2010.2074187
Hinton, 2011, IEEE Netw., 25, 6, 10.1109/MNET.2011.5730522
Baliga, 2011, Green cloud computing: Balancing energy in processing, storage, and transport, Proc. IEEE, 99, 149, 10.1109/JPROC.2010.2060451
Levesque, 1998, Foundations for the situation calculus, Linkoping Electron. Artic. Comput. Inf. Sci., 3
Cohen, 2003, Efficient immunization strategies for computer networks and populations, Phys. Rev. Lett., 91, 5, 10.1103/PhysRevLett.91.247901
Baker, 2013, Energy efficient cloud computing environment via autonomic meta-director framework, 198
Spring-nextel applied research group ipmon project. http://ipmon.sprint.com, January 2005 (cited 10.12.14).
Ceuppens, 2009, Planning for energy efficiencyvnetworking in numbers
Panarello, 2010, Energy saving and network performance: a trade-off approach, 41