Title
Towards modeling & analysis of consolidated CMP servers
Abstract
As virtualization becomes ubiquitous in data centers, it becomes imperative that the definition of future multi-core platform architectures take into account the performance behavior and requirements of consolidated servers. However, performance analysis of commercial servers has traditionally been focused on individual parallel benchmarks running in dedicated mode. In this paper, we present an approach to developing a performance model for virtualized CMP servers potentially running heterogeneous workloads simultaneously. We show that a consolidation performance model can be developed by decomposing the problem into three constituent parts: (a) core interference due to consolidation, (b) cache interference due to consolidation and (c) virtualization overheads. Having laid out the consolidation framework, we then perform an initial case study with a new consolidation benchmark (vConsolidate). We present vConsolidate measurement characteristics on a Core 2 Duo-based server platform and then apply the performance model in order to predict the performance slowdown of each workload due to consolidation. We show that the model constructed is capable of achieving sufficient accuracy and discuss how to improve the accuracy in the future. Last but not least, we describe the extensions required to develop a complete generalized consolidation performance model.
Year
DOI
Venue
2008
10.1145/1399972.1399980
SIGARCH Computer Architecture News
Keywords
Field
DocType
performance behavior,performance analysis,performance slowdown,consolidation framework,complete generalized consolidation performance,towards modeling,consolidation performance model,duo-based server platform,cache interference,performance model,consolidated cmp server,new consolidation benchmark,data center
Virtualization,Cache interference,Workload,Computer science,Server,Parallel computing,Real-time computing,Interference (wave propagation),Performance model,Consolidation (soil),Operating system,Overhead (business)
Journal
Volume
Issue
Citations 
36
2
15
PageRank 
References 
Authors
0.76
8
3
Name
Order
Citations
PageRank
Padma Apparao11309.32
Ravishankar K. Iyer2111975.72
Don Newell351232.67