Profit Maximization Resource Allocation in Cloud Computing with Performance Guarantee

被引：0

作者：

Li, Meixuan ^{[1
]}

Sun, Yu-E ^{[2
,3
]}

Huang, He ^{[1
,3
]}

Yuan, Jing ^{[4
]}

Du, Yang ^{[3
]}

Bao, Yu ^{[3
]}

Luo, Yonglong ^{[5
]}

机构：

[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou, Peoples R China

[2] Soochow Univ, Sch Rail Transportat, Suzhou, Peoples R China

[3] Univ Sci & Technol China, Suzhou Inst Adv Study, Hefei, Anhui, Peoples R China

[4] Univ Texas Dallas, Dept Comp Sci, Richardson, TX 75083 USA

[5] Anhui Normal Univ, Sch Math & Comp Sci, Wuhu, Peoples R China

来源：

2017 IEEE 36TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC) | 2017年

基金：

中国国家自然科学基金;

关键词：

Cloud computing; virtual machines; performance guarantee; profit maximization; resource allocation;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the advent of virtualization technologies, cloud computing resource allocation issue plays an important role. However, the existing studies have not fully considered the heterogeneous demands from different cloud tenants. To tackle this, we design a more flexible cloud resource allocation mechanism which can maximize the profit of the cloud provider and support three general types of resource requirements from the cloud tenants. In this work, the jobs from tenants will bid for the usage of VMs in 3 types: 1) fixed time intervals, 2) time window intervals and 3) Time window slice intervals. We proved that the proposed approximation allocation mechanism has an approximation factor which approaches 1.58 when c(m) closes to infinity.

引用

页数：2

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