Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets

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Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets

Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets

Abstract

In this paper, we study how colocation data center energy costs can be effectively reduced through cooperative power procurement in the wholesale electricity market. Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets Intuitively, the overall power demand uncertainty of the colocation datacenter can be reduced by aggregating workloads and renewables across a group of tenants in a colocation datacenter, resulting in less chance of being penalized when entering the wholesale electricity market.

Introduction

Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets From the demand side, substantial efforts have been made to reduce the growing electricity bills of datacenters, ranging from hardware such as energy-efficient servers, storage devices, and network switches to software such as virtualization and dynamic CPU speed scaling and capacity provisioning, which has led to dramatic improvements in datacenter energy efficiency. On the other hand, it is also important for datacenters to manage their energy costs from the supply side. As large consumers, data centers typically have multiple options to supply electricity to meet their power demand.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  cloud computing

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE

Conclusion

We model this aggregation process as a cooperative game and present a cost allocation mechanism based on each datacenter’s marginal contribution to the total cost expected to distribute the optimal cost expected within the grand coalition to each datacenter.