User Aggregation Models for a Video-on-Demand (VoD) System

被引：0
|
作者：
Mondal, Subrato [1 ]
Sen, Goutam [1 ]
机构：
[1] Indian Inst Technol Kharagpur, Dept Ind & Syst Engn, Kharagpur, W Bengal, India
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) | 2020年
关键词：
Video-on-demand; data location; k-means; locality of reference; integer programming;
D O I：
10.1109/ieem45057.2020.9309871
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We consider the scalability issues in the static data segment location problem in information networks and provide integer linear programming (ILP) formulations for user aggregation. We explore three approaches based on k-means clustering, locality-of-reference and biased locality of reference. The second and third approaches are innovatively modeled as discrete optimization problems. The models are tested in IBM ILOG CPLEX Optimization Studio platform and the computational results are discussed in this paper.
引用
收藏
页码：944 / 948
页数：5
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