We consider a time-slotted multihop wireless sensor network used for a remote estimation application. Sensor nodes sample processes of interest and convergecast the sampled data to a sink over the multihop wireless ne...
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Efficient task scheduling in fog-cloud computing environments is essential for optimizing critical parameters such as energy efficiency, security, and real-time performance. Existing scheduling algorithms like Pure Ra...
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Wildfires are a significant environmental challenge, particularly during wildfire seasons when the frequency of incidents dramatically increases. Continuous monitoring of wildfires is essential for early detection, an...
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In the era of real-time applications dominating mobile devices, balancing enhanced performance with prolonged battery life has become a significant challenge. This paper explores the complexities of real-time scheduli...
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The steep technological and performance advances in GPU cards have led to their increasing use in data centers in the recent years, especially in machine learning jobs. However, high hardware performance alone does no...
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This paper contains the analysis of VM load balancing scheduling algorithms discussing its advantages, disadvantages along with applications. As the Industry shifts towards adapting cloud technologies, it is important...
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In the era of real-time applications dominating mobile devices, balancing enhanced performance with prolonged battery life has become a significant challenge. This paper explores the complexities of real-time scheduli...
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ISBN:
(数字)9798331513894
ISBN:
(纸本)9798331513900
In the era of real-time applications dominating mobile devices, balancing enhanced performance with prolonged battery life has become a significant challenge. This paper explores the complexities of real-time scheduling algorithms, focusing on Earliest Deadline First (EDF) and Rate Monotonic (RM) algorithms, and their impact on energy consumption. Additionally, variations of these algorithms are introduced in the context of Dynamic Voltage Scaling (DVS), a technique crucial for achieving optimal performance with improved battery efficiency. Through an in-depth analysis of various conditions, including task numbers and worst-case processor utilization, the study demonstrates the effectiveness of these algorithms, making them indispensable in scenarios where energy efficiency is paramount.
We propose new abstract problems that unify a collection of scheduling and graph coloring problems with general min-sum objectives. Specifically, we consider the weighted sum of completion times over groups of entitie...
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In this work, different heuristic and optimization algorithms are proposed for downstream wavelength scheduling in ring-based WDM-PON mobile backhaul networks, where optical networking units (ONUs) are integrated with...
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In this work, different heuristic and optimization algorithms are proposed for downstream wavelength scheduling in ring-based WDM-PON mobile backhaul networks, where optical networking units (ONUs) are integrated with base stations (BSs). The main objective of this work is to improve the time delay of the packet delivery from the infrastructure to the end-users for both fixed and wireless traffic. This is achieved through dynamic wavelength scheduling and sharing techniques in a converged ring-based WDM-PON access architecture by taking into account the priorities of the data sent and also the cooperation area for mobile users between adjacent ONUs/BSs. Further, an integer linear program (ILP) was developed for wavelength selection, to be used as a benchmark when comparing with the two proposed algorithms. All heuristic algorithms and the optimization algorithm are examined under different traffic load and queue size scenarios to ascertain the network's performance in terms of maximum packet delivery delay.
Age of information is a new network performance metric that captures the freshness of information at end-users. This paper studies the age of information from a scheduling perspective. To that end, we consider a wirel...
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Age of information is a new network performance metric that captures the freshness of information at end-users. This paper studies the age of information from a scheduling perspective. To that end, we consider a wireless broadcast network where a basestation (BS) is updating many users on random information arrivals under a transmission capacity constraint. For the offline case when the arrival statistics are known to the BS, we develop a structural MDP scheduling algorithm and an index scheduling algorithm, leveraging Markov decision process (MDP) techniques and the Whittle's methodology for restless bandits. By exploring optimal structural results, we not only reduce the computational complexity of the MDP-based algorithm, but also simplify deriving a closed form of the Whittle index. Moreover, for the online case, we develop an MDP-based online scheduling algorithm and an index-based online scheduling algorithm. Both the structural MDP scheduling algorithm and the MDP-based online scheduling algorithm asymptotically minimize the average age, while the index scheduling algorithm minimizes the average age when the information arrival rates for all users are the same. Finally, the algorithms are validated via extensive numerical studies.
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