eTransform: Transforming Enterprise Data Centers by Automated Consolidation

Abstract—Modern day enterprises have a large IT infrastructure comprising thousands of applications running on servers housed in tens of data centers geographically spread out. These enterprises periodically perform a transformation of their entire IT infrastructure to simplify, decrease operational costs and enable easier management. However, the large number of different kinds of applications and data centers involved and the variety of constraints make the task of data center transformation challenging. The state-of-the-art technique for performing this transformation is simplistic, often unable to account for all but the simplest of constraints. We present eTransform, a system for generating a transformation and consolidation plan for the IT infrastructure of large scale enterprises. We devise a linear programming based approach that simultaneously optimizes all the costs involved in enterprise data centers taking into account the constraints of applications groups. Our algorithm...

• Type: Journal
• Year: 2012
• Where: ICDCS
• Authors: Rahul Singh, Prashant J. Shenoy, K. K. Ramakrishnan, Rahul Kelkar, Harrick M. Vin
• Keywords: Consolidation Plan, Distributed And Parallel Computing, Enterprise Data Centers, ICDCS 2012, Latency Constraints