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Dynamic Server Provisioning with Queue Stabilization in Data Centres

Safavi, Mohammadhassan LU ; Karaca, Mehmet LU ; Bastani, Saeed LU and Landfeldt, Björn LU (2017) 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017) In IEEE International Conference on Cloud Networking
Abstract
When load balancing data centres with all servers
active to serve jobs, the result can be excessive energy usage. On
the other hand, using dynamic server provisioning, the number
of servers that serve requests can be reduced by turning off idle
servers and thereby save energy. However, such a scheme, usually
increases the risk of instability of server queues. In this work,
we analyze the trade-off between energy usage and stability of
servers in a data center when we balance the load by dispatching
arriving jobs. We propose an algorithm, SEOL, to solve a stability
and energy objective stochastic optimization problem with a high
degree of flexibility to handle the trade-off between these... (More)
When load balancing data centres with all servers
active to serve jobs, the result can be excessive energy usage. On
the other hand, using dynamic server provisioning, the number
of servers that serve requests can be reduced by turning off idle
servers and thereby save energy. However, such a scheme, usually
increases the risk of instability of server queues. In this work,
we analyze the trade-off between energy usage and stability of
servers in a data center when we balance the load by dispatching
arriving jobs. We propose an algorithm, SEOL, to solve a stability
and energy objective stochastic optimization problem with a high
degree of flexibility to handle the trade-off between these two
objectives. We show the performance of our proposed algorithm
in minimizing the risk of queue length growth as well as the
number of active servers needed to serve jobs, and compare it
with a number of well-established commercial load balancing
mechanisms. (Less)
Please use this url to cite or link to this publication:
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
keywords
Energy Usage, Data centers, Stability
in
IEEE International Conference on Cloud Networking
conference name
6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017)
language
English
LU publication?
yes
id
95165fb8-7d0a-4f4b-a99a-2509906fe019
date added to LUP
2017-07-31 10:34:21
date last changed
2017-07-31 14:26:05
@inproceedings{95165fb8-7d0a-4f4b-a99a-2509906fe019,
  abstract     = {When load balancing data centres with all servers<br/>active to serve jobs, the result can be excessive energy usage. On<br/>the other hand, using dynamic server provisioning, the number<br/>of servers that serve requests can be reduced by turning off idle<br/>servers and thereby save energy. However, such a scheme, usually<br/>increases the risk of instability of server queues. In this work,<br/>we analyze the trade-off between energy usage and stability of<br/>servers in a data center when we balance the load by dispatching<br/>arriving jobs. We propose an algorithm, SEOL, to solve a stability<br/>and energy objective stochastic optimization problem with a high<br/>degree of flexibility to handle the trade-off between these two<br/>objectives. We show the performance of our proposed algorithm<br/>in minimizing the risk of queue length growth as well as the<br/>number of active servers needed to serve jobs, and compare it<br/>with a number of well-established commercial load balancing<br/>mechanisms.},
  author       = {Safavi, Mohammadhassan and Karaca, Mehmet and Bastani, Saeed and Landfeldt, Björn},
  booktitle    = {IEEE International Conference on Cloud Networking},
  keyword      = {Energy Usage, Data centers,Stability},
  language     = {eng},
  title        = {Dynamic Server Provisioning with Queue Stabilization in Data Centres},
  year         = {2017},
}