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Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost

By Diman Zad Tootaghaj, Farshid Farhat, Mohammad Arjom, Paolo Faraboschi, Mahmut Taylan K and Chita R. Das

Abstract

Abstract—The combined impact of node architecture and workload characteristics on off-chip network traffic with per-formance/cost analysis has not been investigated before in the context of emerging cloud applications. Motivated by this ob-servation, this paper performs a thorough characterization of twelve cloud workloads using a full-system datacenter simulation infrastructure. We first study the inherent network characteristics of emerging cloud applications including message inter-arrival times, packet sizes, inter-node communication overhead, self-similarity, and traffic volume. Then, we study the effect of hardware architectural metrics on network traffic. Our exper-imental analysis reveals that (1) the message arrival times and packet-size distributions exhibit variances across different cloud applications; (2) the inter-arrival times imply a large amount of self-similarity as the number of nodes increase; (3) the nod

Year: 2016
OAI identifier: oai:CiteSeerX.psu:10.1.1.735.5790
Provided by: CiteSeerX
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