Add to ORKGThe SAI Intelligent Systems Conference (IntelliSys 2016), CentrEd at ExCel London, London, United Kingdom, 21-22 September 2016Bandwidth optimization and its efficient utilization is more challenging in operating data centers. Our model can assist for proper usage of resource utilization and accommodate large scale of bursty data. In this paper we propose forecast model for Data Center Bandwidth Utilization system; a forecast model for data centers to predict and estimate proper bandwidth utilization in real-world situations. Based on self-learning procedures, the proposed forecasting model will optimize the traffic and predict bandwidth more efficiently. Our approach is based on Time Series and Vector Autoregression (VAR-Model) models, it ...
Study presented in this paper is based on analysis of network bandwidth usage and using it as baseli...
Time series network traffic analysis and forecasting are important for fundamental to many decision-...
Time series network traffic analysis and forecasting are important for fundamental to many decision-...
The SAI Intelligent Systems Conference (IntelliSys 2016), CentrEd at ExCel London, London, United Ki...
With the increasing number of geographically dis-tributed scientific collaborations and the growing ...
With the increasing number of geographically distributed scientific collaborations and the scale of ...
Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co...
With the increasing number of geographically distributed scientific collaborations and the growing s...
Efficient resource management in data centers is of central importance to content service providers ...
Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co...
<div><p>Efficient resource management in data centers is of central importance to content service pr...
This paper uses intelligent methods such as a time recurrent neural network to predict network traff...
Resource management is to arrange and allocate resources for computing operations and applications. ...
Computer networks are connected with other networks using one or more dedicated circuits. These dedi...
Resource allocation plays an important role inVirtualized Data Center (VDC). The applicationsrunning...
Study presented in this paper is based on analysis of network bandwidth usage and using it as baseli...
Time series network traffic analysis and forecasting are important for fundamental to many decision-...
Time series network traffic analysis and forecasting are important for fundamental to many decision-...
The SAI Intelligent Systems Conference (IntelliSys 2016), CentrEd at ExCel London, London, United Ki...
With the increasing number of geographically dis-tributed scientific collaborations and the growing ...
With the increasing number of geographically distributed scientific collaborations and the scale of ...
Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co...
With the increasing number of geographically distributed scientific collaborations and the growing s...
Efficient resource management in data centers is of central importance to content service providers ...
Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co...
<div><p>Efficient resource management in data centers is of central importance to content service pr...
This paper uses intelligent methods such as a time recurrent neural network to predict network traff...
Resource management is to arrange and allocate resources for computing operations and applications. ...
Computer networks are connected with other networks using one or more dedicated circuits. These dedi...
Resource allocation plays an important role inVirtualized Data Center (VDC). The applicationsrunning...
Study presented in this paper is based on analysis of network bandwidth usage and using it as baseli...
Time series network traffic analysis and forecasting are important for fundamental to many decision-...
Time series network traffic analysis and forecasting are important for fundamental to many decision-...