Semantic-less Coordination of Power Management and Application Performance HOTPOWER ‘09

About the Author(1)  Aman Kansal  Microsoft Research Redmond, WA

About the Author(2)  Jie Liu  Microsoft Research Redmond, WA

Abstract  Different power management modules affect each other.  Try to find out an approach for semantic-free coordination.  Design an interface at the system and application layers.

Semantic-less implies…  The values shared via the interface cannot be compared to other values.  A module only know it’s own values, don’t know whether a higher or lower value is better.  The goal is to compose multiple modules, with their independent strategies.

Contributions  A semantic-less mechanism: a narrow data interface and a generic coordination algorithm.  Applicaton tunes QoS, System changes P-state(processor voltage and frequency) without konwing anything about the other.

Related works  The coordination among system modules[6], application[3], and applications and system modules[11,12,8,2].  Joint optimizations of system and application performance[1,7].  All methods assume semantic information and the coordinated entities.

Power Performance Coordination

Coordinated system design(1)

Coordination interface  App(i) publishes QoS(i)  System modules publishes P(j), other modules don’t know what it means.(P-state, throughput cap, sleep mode, etc)  System also publishes a signal C in {-1, 0, 1} to indicate if energy needs to be reduced(c = -1) or keep constant(c = 0) or is available for increasing(c = 1).  (A system power measurement or estimate derived from performance counters based power models[5, 10] may be help determine whether power usage need to reduce)

Coordination Algorithm(1)  System algorithm

Application Algorithm(1)  If no module acquire the lock and the system determines hat energy usage must be reduced then is sets C = -1.  The action for C =1 is similar.

Application Algorithm(2)  After this, the system will detect at least one QoS(i) changed. The system then change i’s state. If the resource utilization reduced to a desired value and the system updates C = 0.  It will not supply C = 1 if previous configuration did not have the target power usage to prevent oscillations.

Experiment 1  Consider a battery operated laptop decoding high definition video. (on a Lenovo T61p)

Experiment 2(1)  This experiment considers multiple applications with different functionalities sharing a server.  A stream server serves HD (3.2Mbps), DVD(2Mbps), broadband (300kbps), dial-up(28 kbps.  Suppose the revenues (QoS levels) are $4, $3, $2, $0.5.  Varying CPU usage: 100%, 75%, 50% and 25%.  The conversion of searches to purchases varies with search quality leading to varying revenues of $6, $5, $4, and $1 respectively.  On an HPDLG380 blade server with 2x4-core Xeon processors and an 8-disk RAID array.

Experiment 2(2)

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