Harnessing Data Movement in Virtual Clusters for In-Situ Execution

Journal Article · Thu Aug 30 00:00:00 EDT 2018 · IEEE Transactions on Parallel and Distributed Systems

DOI:https://doi.org/10.1109/TPDS.2018.2867879· OSTI ID:1559602

Huang, Dan  ^[1]; Liu, Qing  ^[2]; Klasky, Scott A.  ^[3]; Wang, Jun ^[1]; Choi, Jong Youl  ^[3]; Logan, Jeremy  ^[3]; Podhorszki, Norbert  ^[3]

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1. Univ. of Central Florida, Orlando, FL (United States)
2. New Jersey Inst. of Technology, Newark, NJ (United States)
3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

As a result of increasing data volume and velocity, Big Data science at exascale has shifted towards the in-situ paradigm, where large scale simulations run concurrently alongside data analytics. With in-situ, data generated from simulations can be processed while still in memory, thereby avoiding the slow storage bottleneck. However, running simulations and analytics together on shared resources will likely result in substantial contention if left unmanaged, as demonstrated in this work, leading to much reduced efficiency of simulations and analytics. Recently, virtualization technologies such as Linux containers have been widely applied to data centers and physical clusters to provide highly efficient and elastic resource provisioning for consolidated workloads including scientific simulations and data analytics. In this paper, we investigate to facilitate network traffic manipulation and reduce mutual interference on the network for in-situ applications in virtual clusters. In order to dynamically allocate the network bandwidth when it is needed, we adopt SARIMA-based techniques to analyze and predict MPI traffic issued from simulations. Although this can be an effective technique, the naïve usage of network virtualization can lead to performance degradation for bursty asynchronous transmissions within an MPI job. Here, we analyze and resolve this performance degradation in virtual clusters.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1559602
• Journal Information: IEEE Transactions on Parallel and Distributed Systems, Vol. 30, Issue 3; ISSN 1045-9219
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
In-situ applications
virtual network
virtual switch
ARIMA
collective communication
MPI