A Framework for Self-Adaptive Dispersal of Computing Services

被引：8

作者：

Paulos, Aaron ^{[1
]}

Dasgupta, Soura ^{[2
]}

Beal, Jacob ^{[1
]}

Mo, Yuanqiu ^{[2
]}

Hoang, Khoi ^{[3
]}

Lyles, J. Bryan ^{[4
]}

Pal, Partha ^{[1
]}

Schantz, Richard ^{[1
]}

Schewe, Jon ^{[1
]}

Sitaraman, Ramesh ^{[5
]}

Wald, Alexander ^{[1
]}

Wayllace, Christabel ^{[3
]}

Yeoh, William ^{[3
]}

机构：

[1] Raytheon BBN Technol, Cambridge, MA 02138 USA

[2] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA

[3] Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USA

[4] Univ Tennessee, Knoxville, TN 37996 USA

[5] Univ Massachusetts, Coliege Informat & Comp Sci, Amherst, MA 01003 USA

来源：

2019 IEEE 4TH INTERNATIONAL WORKSHOPS ON FOUNDATIONS AND APPLICATIONS OF SELF* SYSTEMS (FAS*W 2019) | 2019年

关键词：

dispersed computing; middleware; load-balancing; aggregate programming; DISTRIBUTED CONSTRAINT OPTIMIZATION;

D O I：

10.1109/FAS-W.2019.00036

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Modern networking architectures are making it increasingly possible to disperse services not just across servers but into intermediate network devices as well. Here we introduce the Misson-oriented Adaptive Placement (MAP) architecture, which synthesizes prior work on middleware, load-balancing, constraint solving, and aggregate programming into a framework for self-adaptive management of dispersed services. We provide a first evaluation of the efficacy and resilience that can be provided through this approach: results in simulation demonstrating that MAP can autonomously change the deployment of services to adapt to changing needs and failures.

引用

页码：98 / 103

页数：6

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