AEGLE's Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics

Conference paper (2017)

Authors

Konstantina Koliogeorgi National Technical University of Athens
Dimosthenis Masouros National Technical University of Athens
Georgios Zervakis National Technical University of Athens
Sotirios Xydis National Technical University of Athens
Tobias Becker Maxeler Technologies
G. Gaydadjiev Maxeler Technologies
Dimitrios Soudris National Technical University of Athens
Affiliation
External organisation
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Published Date

20-07-2017

Language

English

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Affiliation

External organisation

Abstract

This paper presents the cloud infrastructure of the AEGLE project, that targets to integrate cloud technologies together with heterogeneous reconfigurable computing in large scale healthcare systems for Big Bio-Data analytics. AEGLEs engineering concept brings together the hot big-data engines with emerging acceleration technologies, putting the basis for personalized and integrated health-care services, while also promoting related research activities. We introduce the design of AEGLE's accelerated infrastructure along with the corresponding software and hardware acceleration stacks to support various big data analytics workloads showing that through effective resource containerization AEGLE's cloud infrastructure is able to support high heterogeneity regarding to storage types, execution engines, utilized tools and execution platforms. Special care is given to the integration of high performance accelerators within the overall software stack of AEGLE's infrastructure, which enable efficient execution of analytics, up to 140× according to our preliminary evaluations, over pure software executions.