TY - GEN
T1 - CLOUDLIGHTNING
T2 - 6th International Conference on Cloud Computing and Services Science, CLOSER 2016
AU - Lynn, Theo
AU - Xiong, Huanhuan
AU - Dong, Dapeng
AU - Momani, Bilal
AU - Gravvanis, George
AU - Filelis-Papadopoulos, Christos
AU - Elster, Anne
AU - Khan, Malik Muhammad Zaki Murtaza
AU - Tzovaras, Dimitrios
AU - Giannoutakis, Konstantinos
AU - Petcu, Dana
AU - Neagul, Marian
AU - Dragon, Ioan
AU - Kuppudayar, Perumal
AU - Natarajan, Suryanarayanan
AU - McGrath, Michael
AU - Gaydadjiev, Georgi
AU - Becker, Tobias
AU - Gourinovitch, Anna
AU - Kenny, David
AU - Morrison, John
N1 - Publisher Copyright:
Copyright © 2016 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.
PY - 2016
Y1 - 2016
N2 - As clouds increase in size and as machines of different types are added to the infrastructure in order to maximize performance and power efficiency, heterogeneous clouds are being created. However, exploiting different architectures poses significant challenges. To efficiently access heterogeneous resources and, at the same time, to exploit these resources to reduce application development effort, to make optimisations easier and to simplify service deployment, requires a re-evaluation of our approach to service delivery. We propose a novel cloud management and delivery architecture based on the principles of self-organisation and self-management that shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. Our goal is to address inefficient use of resources and consequently to deliver savings to the cloud provider and consumer in terms of reduced power consumption and improved service delivery, with hyperscale systems particularly in mind. The framework is general but also endeavours to enable cloud services for high performance computing. Infrastructure-as-a-Service provision is the primary use case, however, we posit that genomics, oil and gas exploration, and ray tracing are three downstream use cases that will benefit from the proposed architecture.
AB - As clouds increase in size and as machines of different types are added to the infrastructure in order to maximize performance and power efficiency, heterogeneous clouds are being created. However, exploiting different architectures poses significant challenges. To efficiently access heterogeneous resources and, at the same time, to exploit these resources to reduce application development effort, to make optimisations easier and to simplify service deployment, requires a re-evaluation of our approach to service delivery. We propose a novel cloud management and delivery architecture based on the principles of self-organisation and self-management that shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. Our goal is to address inefficient use of resources and consequently to deliver savings to the cloud provider and consumer in terms of reduced power consumption and improved service delivery, with hyperscale systems particularly in mind. The framework is general but also endeavours to enable cloud services for high performance computing. Infrastructure-as-a-Service provision is the primary use case, however, we posit that genomics, oil and gas exploration, and ray tracing are three downstream use cases that will benefit from the proposed architecture.
KW - Cloud Architecture
KW - Cloud Computing
KW - Cloud Computing Models
KW - Cloud Infrastructures
KW - Cloud Orchestration
KW - Cloud Services Self-organisation
KW - DFE
KW - Data Flow Engine
KW - FPGA
KW - GPU
KW - Heterogeneous Resources
KW - MIC
KW - Many-integrated Cores
KW - Resource as a Service
KW - Self-management
UR - http://www.scopus.com/inward/record.url?scp=84979752358&partnerID=8YFLogxK
U2 - 10.5220/0005921503330338
DO - 10.5220/0005921503330338
M3 - Conference Proceeding
AN - SCOPUS:84979752358
T3 - CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science
SP - 333
EP - 338
BT - CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science
A2 - Cardoso, Jorge
A2 - Cardoso, Jorge
A2 - Ferguson, Donald
A2 - Munoz, Victor Mendez
A2 - Helfert, Markus
PB - SciTePress
Y2 - 23 April 2016 through 25 April 2016
ER -