CLOUDLIGHTNING: A Framework for a Self-organising and Self-managing Heterogeneous Cloud

被引:19
|
作者
Lynn, Theo [1 ]
Xiong, Huanhuan [2 ]
Dong, Dapeng [2 ]
Momani, Bilal [2 ]
Gravvanis, George [3 ]
Filelis-Papadopoulos, Christos [3 ]
Elster, Anne [4 ]
Khan, Malik Muhammad Zaki Murtaza [4 ]
Tzovaras, Dimitrios [5 ]
Giannoutakis, Konstantinos [5 ]
Petcu, Dana [6 ,7 ]
Neagul, Marian [6 ,7 ]
Dragon, Ioan [6 ,7 ]
Kuppudayar, Perumal [8 ]
Natarajan, Suryanarayanan [8 ]
McGrath, Michael [8 ]
Gaydadjiev, Georgi [9 ]
Becker, Tobias [9 ]
Gourinovitch, Anna [1 ]
Kenny, David [1 ]
Morrison, John [2 ]
机构
[1] Dublin City Univ, Irish Ctr Cloud Comp & Commerce, Dublin, Ireland
[2] UCC, Irish Ctr Cloud Comp & Commerce, Dublin, Ireland
[3] Democritus Univ Thrace, Xanthi, Greece
[4] Norwegian Univ Sci & Technol, Trondheim, Norway
[5] Hellas, Ctr Res & Technol, Thessaloniki, Greece
[6] Inst E Austria Timisoara, Timisoara, Romania
[7] West Univ Timisoara, Timisoara, Romania
[8] Intel, Leixlip, Ireland
[9] Maxeler, London, England
关键词
Cloud Computing Models; Cloud Infrastructures; Cloud Architecture; Cloud Computing; Cloud Services Self-organisation; Self-management; Heterogeneous Resources; Resource as a Service; Cloud Orchestration; Data Flow Engine; Many-integrated Cores; MIC; GPU; FPGA; DFE;
D O I
10.5220/0005921503330338
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:333 / 338
页数:6
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