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 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.
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.
Original language | English |
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Title of host publication | IEEE International Conference on Cloud Networking |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 978-1-5090-4026-1 |
ISBN (Print) | 978-1-5090-4027-8 |
DOIs | |
Publication status | Published - 2017 |
Event | 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017) - Prague, Czech Republic Duration: 2017 Sept 25 → 2017 Sept 27 |
Conference
Conference | 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017) |
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Country/Territory | Czech Republic |
City | Prague |
Period | 2017/09/25 → 2017/09/27 |
Subject classification (UKÄ)
- Communication Systems
Keywords
- Energy Usage
- Data centers
- Stability
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ELLIIT LU P01: WP2 Networking solutions
Landfeldt, B., Fitzgerald, E., Moradi, F., Karaca, M., Bastani, S., Safavi, M., Pioro, M. & Nyberg, C.
Project: Research