Results 111 to 120 of about 2,678,131 (290)

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, EarlyView.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

A Time-Dependent Dijkstra’s Algorithm for the Shortest Path Considering Periodic Queuing Delays at Signalized Intersections

Systems
In urban road networks, queuing delays at signalized intersections often account for over half of the total travel time. The complexity of traffic signals and vehicle queuing makes traditional shortest path algorithms insufficient for real-time optimal ...
Binghao Ji, Peng Zhang, Chao Sun, Junhui Zhang, Wenquan Li   +4 more
doaj   +1 more source

Queuing Network Models of Multiservice RANs

ACM Transactions on Modeling and Performance Evaluation of Computing Systems
In this article, we present a new queuing network model for the analysis of a portion of a radio access network (RAN) comprising macro cell base stations (BSs) and small cell BSs offering “streaming” and “elastic” services. Streaming services require a certain data rate for a random time.
Andrea Marin, Michela Meo, Matteo Sereno, Marco Ajmone Marsan   +3 more
openaire   +1 more source

Navigating Open‐Source Serverless Frameworks: An Empirical Analysis of Issues and their Underlying Causes

Software: Practice and Experience, EarlyView.
Context Serverless computing, also referred to as Function‐as‐a‐Service (FaaS), has revolutionized application development by abstracting the management of underlying infrastructure. Accordingly, the software industry frequently adopts open‐source serverless frameworks such as OpenFaaS and Apache OpenWhisk for greater portability and flexibility ...
Muhammad Hamza, Muhammad Waseem, Muhammad Azeem Akbar, Kari Smolander, Tommi Mikkonen   +4 more
wiley   +1 more source

Extension of heuristics for simulating population overflow in Jackson tandem queuing networks to non-Markovian tandem queuing networks [PDF]

, 2008
In this paper we extend previously proposed state-dependent importance sampling heuristics for simulation of population overflow in Markovian tandem queuing networks to non-Markovian tandem networks, and experimentally demonstrate the asymptotic ...
Haverkort, Boudewijn R.H.M., Zaburnenko, T.S., de Boer, Pieter-Tjerk   +2 more
core   +2 more sources

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

SIMULATORS OF VOIP TRAFFIC IN P2P NETWORKS

TASK Quarterly, 2009
This study is included in a research programme developed by the authors at the University of Studies in Camerino for the construction of traffic flow simulators in computer and telecommunication networks [1–4].
LEONARDO PASINI, SANDRO FELIZIANI, SANDRO FELIZIANI   +2 more
doaj  

A Library of Modeling Components for Adaptive Queuing Networks

, 2016
Self-adaptive techniques have been introduced in the last few years to tackle the growing complexity of software/hardware systems, where a significant complexity factor leans on their dynamic nature that is subject to sudden (and sometime unpredictable) changes.
ARCELLI, DAVIDE, CORTELLESSA, VITTORIO, Leva, Alberto   +2 more
openaire   +3 more sources

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

Study on I/O response time bounds of network storage systems

Tongxin xuebao, 2006
In order to predict and improve the performance of networked storage systems,the relationship was explored between the system I/O response time and its performance factors by quantitative analytical method.Through analyzing data flow in networked RAID ...
CUI Bao-jiang1, LIU Jun2, WANG Gang2, LIU Jing2   +3 more
doaj