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Making programmable packet scheduling time-sensitive with a FIFO queue
Time-Sensitive Networking (TSN) is an emerging technology for real-time and non-real-time hybrid networked systems. TSN is standardized by IEEE 802.1...
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Highly-Efficient Persistent FIFO Queues
In this paper, we study the question whether techniques employed, in a conventional system, by state-of-the-art concurrent algorithms to avoid...
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Performance Analysis of a Non-markovian Queue with Differentiated Vacations
Queueing systems with vacations have been used in various applications, such as cellular networks and sensor networks, where base station slee** is...
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Learning Semantic-Visual Embeddings with a Priority Queue
The Stochastic Gradient Descent (SGD) algorithm and margin-based loss functions have been the learning workhorse of choice to train deep metric...
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Adjusting ECN marking threshold in multi-queue DCNs with deep learning
Explicit Congestion Notification (ECN) is designed for single queues. However, today, data center networks (DCNs) need multiple queues on each switch...
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Performance analysis of P2P network based on differentiated service Geo/Geo/1 + 1 queue
To improve the performance of Peer-to-Peer (P2P) networks and reduce energy consumption while minimizing “free-riding” behavior, a queuing model is...
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A Machine-Learning Approach to Queue Length Estimation Using Tagged Customers Emission
In this paper, we consider the problem of the queue length estimation if only some small number of a so-called tagged customers is observable. The...
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Queue congestion prediction for large-scale high performance computing systems using a hidden Markov model
To share limited, large-capacity resources, the high-performance computing field provides services by allocating available resources to jobs through...
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The descriptional power of queue automata of constant length
We consider the notion of a constant length queue automaton —i.e., a traditional queue automaton with a built-in constant limit on the length of its...
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Smart road management system for prioritized autonomous vehicles under vehicle-to-everything (V2X) communication
This paper works on smart transportation strategy for emergency autonomous and normal autonomous vehicles under the vehicle-to-every-things...
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A Computational Approach for Evaluating Steady-State Probabilities and Virtual Waiting Time of a Multiprocessor Queuing System
AbstractThis scientific paper explores the operation of a multiprocessor task servicing system. Tasks are received into the system at random...
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Reachability Problems on Reliable and Lossy Queue Automata
We study the reachability problem for queue automata and lossy queue automata. Concretely, we consider the set of queue contents which are forwards...
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Deep Reinforcement Learning Based Active Queue Management for IoT Networks
Internet of Things (IoT) finds its applications in home, city and industrial settings. Current network is in transition to adopt fog/edge...
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Queue-priority optimized algorithm: a novel task scheduling for runtime systems of application integration platforms
The need for integration of applications and services in business processes from enterprises has increased with the advancement of cloud and mobile...
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Comprehensive Task Priority Queue for Resource Allocation in Vehicle Edge Computing Network Based on Deep Reinforcement Learning
The rapid increase in the number of vehicles and their intelligence have led to the lack of calculation resource of original network. However, the...
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Design and Implementation of an Efficient Priority Queue Data Structure
Priority queues are among the most useful of all data structures. Existing priority queues have a vast amount of overhead associated with them. There...
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Network Calculus for Bounding Delays in Feedforward Networks of FIFO Queueing Systems
Networks for safety-critical operation must guarantee deterministic bounds on the end-to-end delay of data transmission despite the usually many data...
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Queue
A queue is a first in first out (FIFO) data structure which means first come first serve. It is also known as “waiting lines,” and as the name...
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A Robust Approximation for Multiclass Multiserver Queues with Applications to Microservices Systems
Model-based management of software applications in the cloud is based on predicted delays at scaled out services. These services are modeled as FIFO...
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M/G/1 Queue with State Dependent Service Times
In this paper we study the state dependent M/G/1 queueing system in which the service time can change at departure epochs. The model is a special...