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CLOUDLIGHTNING: a framework for a self-organising and self-managing heterogeneous cloud

Lynn, Theo orcid logoORCID: 0000-0001-9284-7580, Xiong, Huanhuan orcid logoORCID: 0000-0002-1809-0388, Dong, Dapeng orcid logoORCID: 0000-0001-8545-8931, Momani, Bilal, Gravvanis, George A. orcid logoORCID: 0000-0003-1562-3633, Filelis-Papadopoulos, Christos orcid logoORCID: 0000-0002-6591-970X, Elster, Anne orcid logoORCID: 0000-0002-7087-6193, Muhammad Zaki Murtaza Khan, Malik, Tzovaras, Dimitrios, Giannoutakis, Konstantinos orcid logoORCID: 0000-0001-8939-4912, Petcu, Dana orcid logoORCID: 0000-0002-4773-770X, Neagul, Marian, Dragan, Ioan orcid logoORCID: 0000-0002-2881-7480, Kuppudayar, Perumal, Natarajan, Suryanarayanan, McGrath, Michael orcid logoORCID: 0000-0002-5177-778X, Gaydadjiev, Georgi orcid logoORCID: 0000-0002-3678-7007, Becker, Tobias orcid logoORCID: 0000-0001-5939-6757, Gourinovitch, Anna, Kenny, David and Morrison, John P. orcid logoORCID: 0000-0002-0134-6025 (2016) CLOUDLIGHTNING: a framework for a self-organising and self-managing heterogeneous cloud. In: 6th International Conference on Cloud Computing and Services Science (CLOSER 2016), 23-25 Apr 2016, Rome, Italy. ISBN 978-989-758-182-3

Abstract
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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Cloud Computing; High Performance Computing; Cloud Computing Models; Cloud Infrastructures; Cloud Architecture; Cloud Services; Self-organisation; Self-management; Heterogeneous Resources; Resource as a Service; Cloud Orchestration; Data Flow Engine; Many-integrated Cores; MIC; GPU; FPGA; DFE
Subjects:Computer Science > Computer engineering
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Research Initiatives and Centres > Irish Centre for Cloud Computing and Commerce (IC4)
Published in: Proceedings of the 6th International Conference on Cloud Computing and Services Science. 1. ScitePress. ISBN 978-989-758-182-3
Publisher:ScitePress
Official URL:http://dx.doi.org/10.5220/0005921503330338
Copyright Information:© 2016 ScitePress. CC BY-NC-ND 4.0
Funders:This work is partially funded by the European Union’s Horizon 2020 Research and Innovation Programme through the CloudLightning project (http://www.cloudlightning.eu) under Grant Agreement Number 643946
ID Code:25174
Deposited On:16 Nov 2020 14:22 by David Kenny . Last Modified 26 Nov 2020 17:10
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