Modeling the Energy Consumption of Multi-NIC Communication Mechanisms

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Modeling the Energy Consumption of Multi-NIC Communication Mechanisms Stefano Ferretti, Vittorio Ghini, Moreno Marzolla, Fabio Panzieri Department of Computer Science, University of Bologna, Italy {sferrett, ghini, marzolla, panzieri}@cs.unibo.it IEEE greencom, 26 28 September 2012

Introduction Modern mobile telecommunication technologies allow users to employ different networks to access Internet services (WiFi, 3G,...) Ideally, a Mobile Node (MN) should be able to select dynamically the best available network according to some metric e.g., lowest latency; higher throughput; cheaper service... IEEE greencom, 26--28 september 2012 2

Session Initiation Protocol (SIP) Approach Use one of the NICs until the connection drops; then, negotiate a new connection on a (possibly) different NIC Mobile Node 3G WiFi SIP Server Corresponding Node Setup Data Flow Conn. Drop Rebind Data Flow IEEE greencom, 26--28 september 2012 3

Always Best Packet Switching (ABPS) Approach Cross-layer architecture to use all available networks Communication active even in presence of vertical and/or horizontal hand-offs Interactive multimedia services SIP/RTP/RTCP over UDP TCP Even in presence of firewalls and NATs IEEE greencom, 26--28 september 2012 4

Always Best Packet Switching (ABPS) Approach Mobile Node 3G WiFi ABPS Server Proxy Corresponding Node Setup Data Flow 3G Conn. Drop ABPS Client Proxy component running on the MN not shown Transparent to user application, handoff is handled by ABPS IEEE greencom, 26--28 september 2012 5

Analysis Use of multiple NICs can be good for availability / reliability, but it may be bad for power consumption Testing multi-nic communication mechanisms under different scenarios by direct measurement is not practical Performance models based on CTMCs with rewards Simple models, used to perform what-if analysis Can be generalized to different multi-nic mechanisms Markov models analyzed using the Octave Queueing Toolbox http://moreno.marzolla.name/software/queueing/ As a use case, we employ the model to compare the power consumption of SIP, ABPS and single NIC (3G) interface IEEE greencom, 26--28 september 2012 6

Single Interface Model IEEE greencom, 26--28 september 2012 7

Single Interface Model Node disconnected; scans for available networks IEEE greencom, 26--28 september 2012 8

Single Interface Model Network found; attempt to setup a connection IEEE greencom, 26--28 september 2012 9

Single Interface Model With probability p, connection established: transmit data IEEE greencom, 26--28 september 2012 10

Single Interface Model Connection lost IEEE greencom, 26--28 september 2012 11

Multiple Interfaces: SIP Multiple (two, in this case) networks: select one based on availability IEEE greencom, 26--28 september 2012 12

Multiple Interfaces: ABPS Multiple (two) networks: all can be used at the same time IEEE greencom, 26--28 september 2012 13

Analysis We consider different durations for UMTS (500s 2500s) and WiFi (5s 50s) connections Other parameters are set as follows Power consumption (in W) N. Balasubramanian, A. Balasubramanian, and A. Venkataramani, Energy consumption in mobile phones: a measurement study and implications for network applications, Proc. 9th ACM SIGCOMM conf. on Internet measurement, pp. 280 293. IEEE greencom, 26--28 september 2012 14

Analysis (cont.) We assume that ABPS in state cc transmits using WiFi only reward = 0.38 + 0.2 x 0.62 IEEE greencom, 26--28 september 2012 15

Steady-State Power Consumption (W) UMTS only SIP ABPS Long WiFi connection duration IEEE greencom, 26--28 september 2012 16 Short WiFi connection duration

Battery Duration IEEE greencom, 26--28 september 2012 17

Throughput/Power Consumption ratio ABPS SIP UMTS only Long WiFi connection duration IEEE greencom, 26--28 september 2012 18 Short WiFi connection duration

Conclusions and Future Works We demonstrated the use of Markov models to analyze the power consumption of multi-nic communication mechanisms The model has been applied to SIP and ABPS to show the kind of questions it can answer The model can be easily extended to compute other performance measures (reliability, connection availability and so on) S. Ferretti, V. Ghini, M. Marzolla, F. Panzieri, Modeling the Always Best Packet Switching Mechanism, proc. NGMAST 2012 We are currently trying to setup a suitable measurement infrastructure to validate the power consumption model on real hardware IEEE greencom, 26--28 september 2012 19