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A guide to the stochastic network calculus
The aim of the stochastic network calculus is to comprehend statistical multiplexing and
scheduling of non-trivial traffic sources in a framework for end-to-end analysis of multi-node …
scheduling of non-trivial traffic sources in a framework for end-to-end analysis of multi-node …
Clustered virtualized network functions resource allocation based on context-aware grou** in 5G edge networks
With the wide spread of various smart devices and the proliferation of internet of things (IoT)
sensors, the amount of traffic on mobile networks is rapidly increasing, and applications with …
sensors, the amount of traffic on mobile networks is rapidly increasing, and applications with …
Clustered NFV service chaining optimization in mobile edge clouds
Service chaining is one of the key technologies that is used to support mobile edge
computing (MEC) services for users in mobile communications radio access networks …
computing (MEC) services for users in mobile communications radio access networks …
An adaptive vehicle clustering algorithm based on power minimization in vehicular ad-hoc networks
In this paper, we propose an adaptive vehicle clustering algorithm based on fuzzy C-means
algorithm, which aims at minimizing power consumption of the vehicles. Specifically, the …
algorithm, which aims at minimizing power consumption of the vehicles. Specifically, the …
Sharp per-flow delay bounds for bursty arrivals: The case of FIFO, SP, and EDF scheduling
The practicality of the stochastic network calculus (SNC) is often questioned on grounds of
potential looseness of its performance bounds. In this paper, it is uncovered that for bursty …
potential looseness of its performance bounds. In this paper, it is uncovered that for bursty …
[HTML][HTML] Long range dependence prognostics for bearing vibration intensity chaotic time series
Q Li, SY Liang, J Yang, B Li - Entropy, 2016 - mdpi.com
According to the chaotic features and typical fractional order characteristics of the bearing
vibration intensity time series, a forecasting approach based on long range dependence …
vibration intensity time series, a forecasting approach based on long range dependence …
[КНИГА][B] Multi-fractal traffic and anomaly detection in computer communications
M Li - 2022 - taylorfrancis.com
This book provides a comprehensive theory of mono-and multi-fractal traffic, including the
basics of long-range dependent time series and 1/f noise, ergodicity and predictability of …
basics of long-range dependent time series and 1/f noise, ergodicity and predictability of …
Power efficient clustering scheme for 5G mobile edge computing environment
Mobile edge computing (MEC), which is an evolution of cloud computing, is acknowledged
as a promising technology for meeting low latency and bandwidth efficiency required in fifth …
as a promising technology for meeting low latency and bandwidth efficiency required in fifth …
Self-similar traffic end-to-end delay minimization multipath routing algorithm
D Han, JM Chung - IEEE Communications Letters, 2014 - ieeexplore.ieee.org
In this letter, a multipath routing algorithm to reduce end-to-end delay and loss rate is
proposed. The proposed multipath routing algorithm, self-similar delay minimization (SDM) …
proposed. The proposed multipath routing algorithm, self-similar delay minimization (SDM) …
Record length requirement of long-range dependent teletraffic
M Li - Physica A: Statistical Mechanics and its Applications, 2017 - Elsevier
This article contributes the highlights mainly in two folds. On the one hand, it presents a
formula to compute the upper bound of the variance of the correlation periodogram …
formula to compute the upper bound of the variance of the correlation periodogram …