Power-aware optimal checkpoint intervals for mobile consumer devices

Lim, Sung-Hwa; Lee, Se Won; Lee, Byoung‐Hoon; Lee, Seongil

doi:10.1109/tce.2011.6131136

Cited by 21 publications

(7 citation statements)

References 15 publications

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“…Lifetime-oriented power management Several lifetime-oriented power management (PM) schemes [6]- [9] have been proposed to guarantee a target lifetime for battery-limited devices. Different from performance-centric PM schemes [2]- [5], these PM schemes are energy-centric in the sense that energy, instead of CPU or transmission bandwidth, is managed by the OS as the first-class resource in mobile systems. Neugebauer et al [7] and Flinn et al [9] demonstrated that a target lifetime can be achieved if the applications can self-adapt their energy demands based on the residual energy in the battery.…”

Section: Related Workmentioning

confidence: 99%

“…The increased complexity and functionality in many consumer electronic (CE) devices has motivated a transformation of system usefulness assessment from a quality of service (QoS) approach to a quality of experience (QoE) approach [1], [2]. In the meantime, due to the increasing energy demand of applications and the relentless trend to make the battery lighter and smaller in CE devices, energy in modern mobile systems has become a limited resource as important as the CPU, memory and network [5]- [7]. When a user is running multiple applications with different preferences on a battery-limited mobile device, such as a laptop or a tablet, usually he or she has a requirement concerning how long the battery needs to last for the most-preferred applications.…”

Section: Introductionmentioning

confidence: 99%

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Maximizing the user experience with energy-based fair sharing in battery limited mobile systems

Wei

Juárez

Garrido

et al. 2013

IEEE Trans. Consumer Electron.

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Currently, the usefulness of many mobile systems is largely limited by the battery lifetime. In this paper, energy-based fair queuing (EFQ) is proposed as a pivotal instrument to maximize the user experience in this type of system. Energy-based fair queuing is a novel class of energy-aware scheduling algorithms that support proportional energy use, effective timeconstraint compliance and a flexible trade-off between them. The combination of EFQ with lifetime-oriented power management schemes opens the door to maximize the user experience of battery-limited mobile systems. Moreover, it is suggested to merge traditional energy-efficient algorithms with EFQ to further improve the user experience. The proposed EFQ algorithm is implemented in the Linux kernel V3.3 and verified on a testbench based on an open source Linux scheduler simulator with userspecified energy loads. Simulation results show that EFQ is more effective and flexible than the Linux scheduler in maximizing the user experience of energy-limited mobile systems 1 .

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maximizing the user experience with energy-based fair sharing in battery limited mobile systems

Wei

Juárez

Garrido

et al. 2013

IEEE Trans. Consumer Electron.

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“…Figure 1 shows an example of mode changes of our system. Our energy consumption model is similar to the ones used in [14,7]. Activation and deactivation of the wireless interface requires additional time and energy as shown in Figure 1.…”

Section: Energy-efficient Data Transmission Policymentioning

confidence: 99%

Threshold-Based Energy-Efficient Data Transmission Policy for Mobile Devices

Lim

Lee

et al. 2012

2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

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It is highly desired to minimize power consumption, because battery power is one of the most critical resources for mobile devices. Significant energy of a mobile device battery is expended by the activated wireless interface embedded while it is not only in transmit/receive mode but also in idle mode. Therefore, it is energy efficient to turn the wireless interface off or in doze mode while it is not used. However, required energy and time for turning the wireless interface are not negligible. Most of recent works have been trying to enhance the hardware architecture or network/MAC protocols. In this paper, we present an energy efficient policy that turns on the wireless interface only when predefined threshold is exceeded and transmits all awaited data. We propose two kinds of threshold -deadline and sending data queue size. For the practical evaluation, we conduct not only simulations but also experimental measurements by implementing on a real test bed.

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“…In addition, there is the problem of batteries due to the limitations of physical resources in mobile terminal devices. If energy is also considered when peers of high contribution within the system are first given free patching and are allocated to the source node during streaming service delivery, stable service can be provided, control signals due to re-peering caused by battery discharge can be reduced, and the overall energy can be saved through reducing control request messages that are consecutively generated within the system [8]. Mobile system saving-related apps, which quit or temporarily suspend unimportant background apps so as to extend battery life, have been popular recently.…”

Section: Introductionmentioning

confidence: 99%

A Study on Efficient Join Mechanism Using Streaming-Service-Time in Mobile P2P Environment

Kim¹,

Choi²

2014

Advanced Science and Technology Letters

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Abstract. In keeping with the recent development of mobile-related industries, users require higher quality media service based on high-performance terminal devices and intellectual networks. In addition, P2P technology, which reduces the burden on a server and distributes roles unlike the existing client/server model, is attracting attention in mobile areas as well. This paper looks into the network mechanism where a new node is added into the mobile streaming system, and suggests an efficient join technique for mobile nodes of limited resources and battery capacity. This method takes into account the wait time of peers, and suggests a technique for peer-to-peer selection, in which the parent node's choice of a join node is based on remaining download time. As a result, an improved system can be constructed which reduces the rate of churning and provides more robust and resilient topology.

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Power-aware optimal checkpoint intervals for mobile consumer devices

Cited by 21 publications

References 15 publications

Maximizing the user experience with energy-based fair sharing in battery limited mobile systems

Maximizing the user experience with energy-based fair sharing in battery limited mobile systems

Threshold-Based Energy-Efficient Data Transmission Policy for Mobile Devices

A Study on Efficient Join Mechanism Using Streaming-Service-Time in Mobile P2P Environment

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