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Modern multiprocessor and multicore architectures adopt shared resources to meet increased performance requirements. Adaptive arbiters, such as FlexRay, have been adopted to grant access to shared resources. While increasing the performance, timing analysis is more challenging with this kind of arbiter. This paper considers real-time tasks that are composed of super blocks, while super blocks themselves...
Adopting multiple processing units to enhance the computing capability or reduce the power consumption has been widely accepted for designing modern computing systems. Such configurations impose challenges on energy efficiency in hardware and software implementations. This work targets power-aware and energy-efficient task partitioning and processing unit allocation for periodic real-time tasks on...
In this paper, our aim is to devise energy efficient strategies for single and multiuser multiple-input multiple-output (MIMO) antenna systems with individual users' effective capacity (EC) constraints. The use of EC provides a metric to quantify the maximum achievable rate under a certain delay constraint and in particular, we formulate the problem as a cross-layer resource allocation problem that...
In this paper, we aim to develop an energy-efficient multiuser time-division multiple-access (TDMA) system in block-fading (BF), subject to individual user's quality-of-service (QoS) requirements in terms of outage probability, by jointly-adaptive time-sharing and power allocation for the users in accordance with the causal channel side information (CSI) at the transmitter. We first propose a simple...
Energy-efficiency and power-awareness for electronic systems have been important design issues in hardware and software implementations. We consider the scheduling of periodic hard real-time tasks along with the allocation of processors under a given energy constraint. Each processor type could be associated with its allocation cost. The objective of this work is to minimize the entire allocation...
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