Energy efficient virtual network embedding for green data centers using data center topology and future migration

X Guan, BY Choi, S Song - Computer Communications, 2015 - Elsevier
With the rapid proliferation of data centers, their energy consumption and greenhouse gas
emissions have significantly increased. Some efforts have been made to control and lower …

一种基于灰色神经网络的网络流量预测模型

曹建华, 刘渊, 戴悦 - 计算机工程与应用, 2008 - cqvip.com
网络流量是衡量网络运行负荷和状态的重要参数, 也是网络规划, 流量管理等方面起着重要作用
的重要参数. 在流量管理中, 流量模型用于评价接入控制机制和预测网络性能 …

On the monitoring of contractual service level agreements

C Molina-Jimenez, S Shrivastava… - Proceedings. First …, 2004 - ieeexplore.ieee.org
The goal of monitoring contractual service level agreements (SLAs) is to measure the
performance of a service, to evaluate whether its provider complies with the level of quality …

Adaptive thresholds: Monitoring streams of network counts

D Lambert, C Liu - Journal of the American Statistical Association, 2006 - Taylor & Francis
This article describes a fast, statistically principled method for monitoring streams of network
counts, which have long-term trends, rough cyclical patterns, outliers, and missing data. The …

Comparison of wavelet families with application to WiMAX traffic forecasting

C Stolojescu, I Railean, S Moga… - 2010 12th international …, 2010 - ieeexplore.ieee.org
This paper deals with a wavelet based forecasting method for WiMAX traffic time series. It is
based on an algorithm composed by a few steps. One of these steps is the computation of …

An LSTM framework for software-defined measurement

A Lazaris, VK Prasanna - IEEE Transactions on Network and …, 2020 - ieeexplore.ieee.org
Providing fine-grained traffic measurement is crucial for many network management and
optimization tasks such as traffic engineering, anomaly detection, load balancing, power …

Forecasting internet traffic by using seasonal GARCH models

S Kim - Journal of Communications and Networks, 2011 - ieeexplore.ieee.org
With the rapid growth of Internet traffic, accurate and reliable prediction of Internet traffic has
been a key issue in network management and planning. This paper proposes an …

Bulk savings for bulk transfers: Minimizing the energy-cost for geo-distributed data centers

X Lu, F Kong, X Liu, J Yin, Q Xiang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the fast proliferation of cloud computing, major cloud service providers, eg, Amazon,
Google, Facebook, etc., have been deploying more and more geographically distributed …

Deepflow: A Software-Defined Measurement System for Deep Learning

PK Lakineni, S Kumar, S Modi, K Joshi… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Delivering perfectly alright real-time traffic information is crucial for managing a wide range
of networks, particularly vehicular communications, anomaly analysis, networking …

GARCH—Non-linear time series model for traffic modeling and prediction

NC Anand, C Scoglio… - NOMS 2008-2008 IEEE …, 2008 - ieeexplore.ieee.org
Forecasting of network traffic plays a very important role in many domains such as
congestion control, adaptive applications, network management and traffic engineering. A …