Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
JouleTrack: a web based tool for software energy profiling
Proceedings of the 38th annual Design Automation Conference
Distributed Algorithms
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management: Design Techniques and CAD Tools
Project Aura: Toward Distraction-Free Pervasive Computing
IEEE Pervasive Computing
A resource allocation model for QoS management
RTSS '97 Proceedings of the 18th IEEE Real-Time Systems Symposium
Scalable Resource Allocation for Multi-Processor QoS Optimization
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Convex Optimization
Dynamic Configuration of Resource-Aware Services
Proceedings of the 26th International Conference on Software Engineering
Anticipatory configuration of resource-aware applications
EDSER '05 Proceedings of the seventh international workshop on Economics-driven software engineering research
GRACE-1: Cross-Layer Adaptation for Multimedia Quality and Battery Energy
IEEE Transactions on Mobile Computing
CARISMA: Context-Aware Reflective mIddleware System for Mobile Applications
IEEE Transactions on Software Engineering
Rate-distortion-complexity modeling for network and receiver aware adaptation
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems
IEEE Transactions on Multimedia
A tutorial on cross-layer optimization in wireless networks
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Circuits and Systems for Video Technology
Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming
IEEE Transactions on Circuits and Systems for Video Technology
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An increasing number of networked and battery-powered devices require the simultaneous processing of multiple high-complexity dynamic multimedia tasks. Existing resource allocation solutions include both centralized approaches and distributed approaches. Centralized approaches typically have two fundamental limitatious. First, multimedia algorithms typically have a large number of operating points and thus requires high implementation complexity to optimally allocate resources across multiple applications, making centralized solutions unsuitable for dynamic environments. Second, autonomous multimedia applications may not be willing to reveal information about their private utility functions, since such information can be exploited by other selfish applications to gain an unfair performance advantage by strategically misusing the system resources. On the other hand, existing decentralized solutions typically solve only resource-constrained utility maximization problems, without regard to other system platform-dependent costs and objectives, and without considering application dynamics. To address these limitations, we present in this paper a decentralized low-complexity resource management solution that can optimize a variety of system performance objectives without requiring applications to provide their utilities. We demonstrate analytically and experimentally that our algorithms converge quickly to their respective optimal solutions and are thus practical in dynamic environments.