Imperial College London

ProfessorWayneLuk

Faculty of EngineeringDepartment of Computing

Professor of Computer Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8313w.luk Website

 
 
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Location

 

434Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Coutinho:2014:10.1007/978-3-319-05960-0_36,
author = {Coutinho, JGF and Pell, O and O'Neill, E and Sanders, P and McGlone, J and Grigoras, P and Luk, W and Ragusa, C},
doi = {10.1007/978-3-319-05960-0_36},
pages = {324--329},
title = {HARNESS project: Managing heterogeneous computing resources for a cloud platform},
url = {http://dx.doi.org/10.1007/978-3-319-05960-0_36},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Most cloud service offerings are based on homogeneous commodity resources, such as large numbers of inexpensive machines interconnected by off-the-shelf networking equipment and disk drives, to provide low-cost application hosting. However, cloud service providers have reached a limit in satisfying performance and cost requirements for important classes of applications, such as geo-exploration and real-time business analytics. The HARNESS project aims to fill this gap by developing architectural principles that enable the next generation cloud platforms to incorporate heterogeneous technologies such as reconfigurable Dataflow Engines (DFEs), programmable routers, and SSDs, and provide as a result vastly increased performance, reduced energy consumption, and lower cost profiles. In this paper we focus on three challenges for supporting heterogeneous computing resources in the context of a cloud platform, namely: (1) cross-optimisation of heterogeneous computing resources, (2) resource virtualisation and (3) programming heterogeneous platforms. © 2014 Springer International Publishing Switzerland.
AU - Coutinho,JGF
AU - Pell,O
AU - O'Neill,E
AU - Sanders,P
AU - McGlone,J
AU - Grigoras,P
AU - Luk,W
AU - Ragusa,C
DO - 10.1007/978-3-319-05960-0_36
EP - 329
PY - 2014///
SN - 0302-9743
SP - 324
TI - HARNESS project: Managing heterogeneous computing resources for a cloud platform
UR - http://dx.doi.org/10.1007/978-3-319-05960-0_36
ER -