Dynamic voltage and frequency scaling over delay-constrained mobile multimedia service using approximated relative compl

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Dynamic voltage and frequency scaling over delay-constrained mobile multimedia service using approximated relative complexity estimation Jihyeok Yun*, Deepak Kumar Singh and Doug Young Suh

Abstract This paper deals with dynamic voltage and frequency scaling (DVFS) in mobile multimedia services. The multimedia services that consume a large amount of energy cannot be continuously used in mobile devices because of battery limitation. The DVFS has been applied to multimedia services in previous studies. However, they have only addressed the issue of power saving and overlooked the fact that mobile multimedia services are sensitive to delays. The proposed method is intended to apply DVFS to multimedia services considering potential delays. Another problem with previous studies is that either separate devices have been employed or appropriate frequency scaling values have been determined through complicated calculation processes to apply DVFS to multimedia services. On the contrary, the proposed method determines appropriate frequency scaling values using the characteristics of multimedia contents without employing any separate devices or undergoing complicated calculation processes. This has the advantage of allowing DVFS to be applied to real-time multimedia content. The present paper proposes a DVFS application method that divides multimedia services into video conferences, which are real-time services, and video streaming, which is a non-real-time service, and that reduces energy consumption in a simple manner while considering the constraints of service delays. Keywords: Dynamic voltage and frequency scaling; Mobile; Multimedia; Real-time; Power saving

Introduction The quality requirements for handheld devices’ video services have been continuously increasing. As a result, it has been challenging to maintain the high level of quality required to satisfy consumers. In this paper, we propose a dynamic voltage and frequency scaling (DVFS) complexity estimation algorithm that can produce power-saving effects close to those produced using previous DVFS with no additional devices or complexity. DVFS is a method of reducing a processor's power consumption by adjusting applied voltage to a processor dynamically. According to [1-3], the power consumption of a processor is proportional to the square of its supply voltage, and supply voltage is proportional to frequency. Based on these relationships, power consumption can be reduced * Correspondence: [email protected] Department of Electronics and Information, Kyunghee University, Yongin 446-701, South Korea

by adjusting voltage and frequency appropriately. After estimating the complexity of a processor, which is required for decoding, voltage and frequency will be applied appropriately to the estimated complexity. In the case of [1], although DVFS was adopted as a power-saving method for wireless mobile devices with limited power, video quality was allowed to deteriorate to reduce the complexity of the codec as with [4]. However, the methods prop