On the Energy Efficiency of Centralized and Decentralized Management for Reservation-Based Networks

Reducing the energy consumption of wired networks has become a key concern for manufacturers of network equipments and network providers. In this paper, we propose an energy-efficient data transfer framework that uses advance bandwidth provisioning and on/off algorithms to put unused nodes of wired networks into sleep mode. This ramework is termed as High-level Energy-awaRe Model for bandwidth reservation in End-to-end networkS (HERMES). We explore centralized, decentralized and clustered approaches for managing network resources and bandwidth eservations in this framework. By applying these approaches to HERMES, we evaluate via simulation their efficiency in terms of performance and energy consumption.

[1]  Sartaj Sahni,et al.  In-advance path reservation for file transfers in e-science applications , 2012, 2009 IEEE Symposium on Computers and Communications.

[2]  Chita R. Das,et al.  Characterizing Network Traffic in a Cluster-based, Multi-tier Data Center , 2007, 27th International Conference on Distributed Computing Systems (ICDCS '07).

[3]  David A. Maltz,et al.  Network traffic characteristics of data centers in the wild , 2010, IMC '10.

[4]  Kenneth J. Christensen,et al.  Proxying: The Next Step in Reducing IT Energy Use , 2010, Computer.

[5]  Erol Gelenbe,et al.  Optimisation of Power Consumption in Wired Packet Networks , 2009, QSHINE.

[6]  Wilko Reinhardt,et al.  Advance Reservation of Network Resources for Multimedia Applications , 1994, IWACA.

[7]  Li Wang,et al.  Studies on Network Management System framework of Campus Network , 2010, 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010).

[8]  Bruce A. Reed,et al.  A Critical Point for Random Graphs with a Given Degree Sequence , 1995, Random Struct. Algorithms.

[9]  Odlyzko Andrew.  Data Networks are Lightly Utilized, and Will Stay That Way , 1999 .

[10]  Andrew Odlyzko,et al.  Data Networks are Lightly Utilized, and will Stay that Way , 2003 .

[11]  Stefano Basagni,et al.  Distributed clustering for ad hoc networks , 1999, Proceedings Fourth International Symposium on Parallel Architectures, Algorithms, and Networks (I-SPAN'99).

[12]  Laurent Lefèvre,et al.  Energy-efficient bandwidth reservation for bulk data transfers in dedicated wired networks , 2011, The Journal of Supercomputing.

[13]  Sujata Banerjee,et al.  A Power Benchmarking Framework for Network Devices , 2009, Networking.

[14]  Lars-Olof Burchard.  Networks with Advance Reservations: Applications, Architecture, and Performance , 2005, Journal of Network and Systems Management.

[15]  Lisandro Zambenedetti Granville,et al.  Consistency maintenance of policy states in decentralized autonomic network management , 2010, 2010 IEEE Network Operations and Management Symposium - NOMS 2010.

[16]  Jason Lee,et al.  A first look at modern enterprise traffic , 2005, IMC '05.

[17]  Walter E. Beyeler,et al.  The topology of interbank payment flows , 2007 .

[18]  Alan D. George,et al.  The next frontier for communications networks: power management , 2004, Comput. Commun..

[19]  Kenneth J. Christensen,et al.  Managing energy consumption costs in desktop PCs and LAN switches with proxying, split TCP connections, and scaling of link speed , 2005, Int. J. Netw. Manag..

[20]  Vinny Cahill,et al.  When TCP Breaks: Delay- and Disruption- Tolerant Networking , 2006, IEEE Internet Computing.

[21]  Suresh Singh,et al.  Dynamic Ethernet Link Shutdown for Energy Conservation on Ethernet Links , 2007, 2007 IEEE International Conference on Communications.

[22]  Suresh Singh,et al.  Greening of the internet , 2003, SIGCOMM '03.