Budget and Cost-Aware Resources Selection Strategy in Cloud Computing Environments

被引：0

作者：

Toporkov, Victor ^{[1
]}

Tchernykh, Andrei ^{[2
]}

Yemelyanov, Dmitry ^{[1
]}

机构：

[1] Natl Res Univ MPEI, Moscow, Russia

[2] CICESE Res Ctr, Comp Sci Dept, Ensenada, Baja California, Mexico

来源：

SUPERCOMPUTING (RUSCDAYS 2019) | 2019年 / 1129卷

关键词：

Cloud computing; Optimization; Resources selection; CloudSim; Virtual machine; Economic scheduling; Budget and cost-aware strategies; ALGORITHMS;

D O I：

10.1007/978-3-030-36592-9_54

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this work, we introduce algorithms for resource selection in heterogeneous cloud computing environments. Cloud resources are represented as virtual machine instances ready to start with characteristics including performance, RAM, storage, bandwidth, and usage price. User request contains requirements that can be satisfied by different bundles of the virtual machines. We propose and analyze algorithms and scenarios for efficient resources selection and compare them with known approaches. The novelty of the proposed approach is in multiobjective selection of cloud resource bundles according to the specified limited budget.

引用

页码：667 / 677

页数：11

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