### Abstract

The problem of cost-efficient operation of data center networks used to deliver file sharing services is studied. The aggregate costs are split into server-load-related and link-load-related shares. Thus, the problem of interest is formulated as one of joint data placement and flow control, and mixed integer-linear programming is used to compute the optimal solution. The high complexity of the latter motivated us to design two additional sets of strategies, based on data coding and heuristics, respectively. With coding, a distributed algorithm for the problem is developed. In the simulation experiments, carried out based on actual data center information, network topology and link cost, as well as electricity prices, the advantages of data coding, in particular in the context of multicast, and the impact of different factors such as the network topology and service popularity, on the total cost incurred by all considered strategies, are examined. Network coding with multicast is shown to provide cost savings in the order of 30–80%, depending on the specific context under consideration, relative to the other optimization strategies and heuristic methods examined in this work.

Original language | English (US) |
---|---|

Pages (from-to) | 83-98 |

Number of pages | 16 |

Journal | Simulation Modelling Practice and Theory |

Volume | 64 |

DOIs | |

State | Published - Jan 1 2016 |

### Fingerprint

### Keywords

- Cost efficiency
- Data placement
- Internet datacenter networks

### ASJC Scopus subject areas

- Software
- Modeling and Simulation
- Hardware and Architecture

### Cite this

*Simulation Modelling Practice and Theory*,

*64*, 83-98. https://doi.org/10.1016/j.simpat.2015.09.010

**Towards efficient operation of internet data center networks : Joint data placement and flow control for cost optimization.** / Khreishah, Abdallah; Chakareski, Jacob; Gharaibeh, Ammar; Khalil, Issa; Diabat, Ali.

Research output: Contribution to journal › Article

*Simulation Modelling Practice and Theory*, vol. 64, pp. 83-98. https://doi.org/10.1016/j.simpat.2015.09.010

}

TY - JOUR

T1 - Towards efficient operation of internet data center networks

T2 - Joint data placement and flow control for cost optimization

AU - Khreishah, Abdallah

AU - Chakareski, Jacob

AU - Gharaibeh, Ammar

AU - Khalil, Issa

AU - Diabat, Ali

PY - 2016/1/1

Y1 - 2016/1/1

N2 - The problem of cost-efficient operation of data center networks used to deliver file sharing services is studied. The aggregate costs are split into server-load-related and link-load-related shares. Thus, the problem of interest is formulated as one of joint data placement and flow control, and mixed integer-linear programming is used to compute the optimal solution. The high complexity of the latter motivated us to design two additional sets of strategies, based on data coding and heuristics, respectively. With coding, a distributed algorithm for the problem is developed. In the simulation experiments, carried out based on actual data center information, network topology and link cost, as well as electricity prices, the advantages of data coding, in particular in the context of multicast, and the impact of different factors such as the network topology and service popularity, on the total cost incurred by all considered strategies, are examined. Network coding with multicast is shown to provide cost savings in the order of 30–80%, depending on the specific context under consideration, relative to the other optimization strategies and heuristic methods examined in this work.

AB - The problem of cost-efficient operation of data center networks used to deliver file sharing services is studied. The aggregate costs are split into server-load-related and link-load-related shares. Thus, the problem of interest is formulated as one of joint data placement and flow control, and mixed integer-linear programming is used to compute the optimal solution. The high complexity of the latter motivated us to design two additional sets of strategies, based on data coding and heuristics, respectively. With coding, a distributed algorithm for the problem is developed. In the simulation experiments, carried out based on actual data center information, network topology and link cost, as well as electricity prices, the advantages of data coding, in particular in the context of multicast, and the impact of different factors such as the network topology and service popularity, on the total cost incurred by all considered strategies, are examined. Network coding with multicast is shown to provide cost savings in the order of 30–80%, depending on the specific context under consideration, relative to the other optimization strategies and heuristic methods examined in this work.

KW - Cost efficiency

KW - Data placement

KW - Internet datacenter networks

UR - http://www.scopus.com/inward/record.url?scp=84978734720&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978734720&partnerID=8YFLogxK

U2 - 10.1016/j.simpat.2015.09.010

DO - 10.1016/j.simpat.2015.09.010

M3 - Article

AN - SCOPUS:84978734720

VL - 64

SP - 83

EP - 98

JO - Simulation Modelling Practice and Theory

JF - Simulation Modelling Practice and Theory

SN - 1569-190X

ER -