21928964
Energy-aware optimal workload allocation among the battery-powered devices to maximize the co-operation life time
Traditional low power design minimizes the total power consumption. However for systems that want to maximize co-operation life time among the battery-powered devices, the total power minimization strategy may not be the best. The workload allocation among these devices has a dramatic impact on the co-operation life time. In this paper, we address this problem by formulating it as a linear programming (LP) problem. A simplified energy-aware algorithm is proposed to provide the optimal solution according to the energy capacity ratio of the devices. This algorithm is simple enough to be embedded into real-time system and we illustrate this by an example using a configurable transmitter-receiver pair. Experimental results show that the proposed algorithm significantly outperforms the other workload allocation strategies by 400.66% in the randomly-generated systems and 23.20% in a point-to-point (P2P) communication system, respectively
2442553
Adaptive spectrum-based variable bit truncation of discrete cosine transform (DCT) for energy-efficient wireless multimedia communication
This work presents a new adaptive scheme to reduce the computation energy of the discrete cosine transform (DCT) architecture for image/video coding. The scheme employs the noise masking effect of quantization and the spectral difference of the quantization factors. Spectrum-based variable bit truncation is used to allocate more energy for the computations that affect the low frequency DCT coefficients more. We propose a benchmark driven search mechanism based on energy and distortion weight to find the optimal truncation sets for different quality constraints and quantization tables. They are stored in a look-up table (LUT) for the on-line reconfiguration. Simulation results show that significant energy saving is achieved with negligible quality degradation.
12189368
A data discarding framework for reducing the energy consumption of Viterbi decoder in decoding broadcasted wireless multi-resolution JPEG2000 images
Resolution scalable compression and power efficient channel decoder design are the enabling techniques for multi-resolution wireless multimedia broadcasting. In this paper, we propose a data-discarding framework which controls the switching of the Viterbi decoder between active and sleep mode for decoding multi-resolution JPEG2000 images to significantly reduce the overall power consumption of the channel decoder. In particular, the Viterbi decoder is put into sleep mode to skip the decoding of the redundant higher resolution data according to the results of the source decoding. The proposed framework is independent of the underlying communication channel and the architecture of the Viterbi decoder. Hence, it can be applied on top of any existing low-power Viterbi decoders to further reduce the overall power consumption. Our results show that up to 75% power reduction is achieved when the source resolution, the target resolution, and the compression ratio are 1024/spl times/1024, 256/spl times/256, and 1 bit/pixel (bpp), respectively.
7197821
A case study on system-level modeling by aspect-oriented programming
The paper presents a novel and synergistic system-level modeling approach based on aspect-oriented programming (AOP) and SystemC. A case study on a 128-bit binary floating-point adder is performed to demonstrate the modeling strength of the approach. The validation experiment shows the effectiveness of the proposed approach. This work constitutes a first attempt to employ AOP in modeling digital systems.
1077673
Low Complexity MMSE Vector Precoding Using Lattice Reduction for MIMO Systems
In this paper, a lattice-reduction-aided (LRA) minimum mean square error (MMSE) vector precoding (VP) is proposed for multiple input multiple output (MIMO) systems. Three schemes are provided for the perturbation vector design by Babai's approximation procedures based on lattice reduction method to reduce the complexity. Performance and complexity analysis are provided. Simulation results show that the proposed schemes significantly outperform the conventional MMSE Tomlinson-Harashima precoding (THP) and the zero forcing (ZF) VP. Compared with the MMSE VP via closest-point search, our LRA approach provides a simple alternative with little performance loss.
13519541
WS-SLA: A Framework for Web Services Oriented Service Level Agreements
Service level agreements (SLA) becomes the prevailing business model for delivery of a large number of products and services in telecommunication and IT arenas. We presents an integrated service level agreement model applied to operating supporting system (OSS), on the basis of WfMC workflow reference model and service oriented architecture (SOA). And an application scenario instance of SLA system architecture is described by a set of operations models by Business Process Execution Language (BPEL)
46240388
An Efficient Heuristic Algorithm for Constructing Delay- and Degree-Bounded Application-Level Multicast Tree
In this paper we first investigate the problem of finding a delay- and degree-bounded maximum sum of nodes ALMT. We proved the problem is NP-hard, and testify its relationship with the well-studied degree-bounded minimum maximum-delay ALMT problem. We proposed a greedy algorithm FindOverlayTree with SRPF heuristic. The simulation results show that our design solution is a valid and cost-effective approach where compared to other three modified classic heuristics under several performance metrics.
42839671
A Novel Integrated Supporting System for Mesh-Pull Based P2P IPTV
This paper presents a novel integrated supporting system for the mesh-pull based P2P IPTV. The proposed system can monitor the service quality of each overlays within the system by initiating random walks to sample key metrics of the system periodically and analyze the service quality statistically, and improve them to some extend. When the service quality is below the threshold, the system will increase its upload bandwidth adaptive to the workload of the system. The supporting system will allocate its bandwidth among multiple overlays to get the as much revenue as possible. This paper presents the design of this architecture and describes its functions and shows its adaptability to the high dynamic nature of p2p IPTV system and fitness for commercial deployment. At last we verify the feasibility of the architecture by simulation, and the results show its performance and adaptability.