The appearance of power-adjustable sensors provides an opportunity for latency reduction in Power Adjustable Sensor Network. In wireless network with power-adjustable sensors, the node may prefer to wait rather than t...
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In this paper, we are interested In wireless schedul-ing algorithms for the downlink of a single cell that can mini-mize the queue-overflow probability. Assuming that a sample-path large-deviation principle holds for ...
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ISBN:
(纸本)9781605600864
In this paper, we are interested In wireless schedul-ing algorithms for the downlink of a single cell that can mini-mize the queue-overflow probability. Assuming that a sample-path large-deviation principle holds for the backlog process, we first study structural properties of the minimum-cost-path-to-overflow for a class of scheduling algorithms collectively referred to as the "a - algorithms." For a given α > 1, the a - Algorithm picks the user for service at each time that has the largest product of the transmission rate multiplied by the backlog raised to the power α. We show that when the overflow metric is appropriately modified, the minimum-cost-to-overflow under the a - Algorithm can be achieved by a simple linear path, and it can be written as the solution of a vector-optimization problem. Using this structural property, we then show that when a approaches infinity, the a - Algorithm asymptotically achieves the largest value of the minimum-cost-to-overflow under all scheduling algorithms.
Optimising the use of resources in data centres requires effective task scheduling on the cloud. As 5G and IoT applications proliferated and produced a vast amount of jobs with strict latency requirements, it became e...
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The effect of sharing the last-level cache (LLC) among cores in a multi-core system has not been thoroughly investigated especially in the design of efficient scheduling algorithms. And with the growing interest in ra...
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Efficient task scheduling is crucial in the domain of cloud computing. Cloud computing is a service that allows users to access and share virtual resources as needed in order to fulfil their jobs. The primary objectiv...
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As the development of innovative automotive software continues to progress, the architecture and solutions required for automotive software become more complex. It is challenging to cope with these issues with a singl...
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A Grid is a computational system consisting of a large number of geographically distributed and heterogeneous resources. Job scheduling is the key component of a Grid, and plays an important role in the efficient and ...
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The work describes the effort to automatically select scheduling algorithms and generate corresponding parameters for new problem instances based on the results obtained for similar problem instances that have been ex...
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The CPU scheduler, primarily responsible for scheduling algorithms, is a crucial component of multitasking operating systems. Many simulation systems have been developed to help study and analyze scheduling algorithms...
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Reliable task execution on machines that are prone to unpredictable crashes and restarts is both important and challenging, but not much work exists on the analysis of such systems. We consider the online version of t...
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