Paper Info
Title
AEGLE's Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics
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.
Year
DOI
Venue
2017
10.1109/ISVLSI.2017.70
2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
Keywords
Field
DocType
Cloud Infrastructure,Resource Monitoring,Accelerated Analytics
Software engineering,Software analytics,Server,Software,Hardware acceleration,Engineering,Analytics,Big data,Operating system,Reconfigurable computing,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-6763-3
0
0.34
References 
Authors
9
7
Name
Order
Citations
PageRank
Konstantina Koliogeorgi112.06
Dimosthenis Masouros2126.37
Georgios Zervakis3498.33
Sotirios Xydis414431.51
Tobias Becker519523.79
Georgi Gaydadjiev61117104.92
Dimitrios Soudris724348.41