Capacity Allocation for Big Data Applications in the Cloud

被引：1
|
作者：
Ciavotta, Michele [1 ]
Gianniti, Eugenio [1 ]
Ardagna, Danilo [1 ]
机构：
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Via Golgi 42, I-20133 Milan, Italy
来源：
ICPE'17: COMPANION OF THE 2017 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING | 2017年
基金：
欧盟地平线“2020”;
关键词：
Cloud; Big Data; QoS; Capacity Allocation;
D O I：
10.1145/3053600.3053630
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of this work is to present the problem of Capacity Allocation for multiple classes of Big Data applications running in the Cloud. The objective is the minimization of the renting out costs subject to the fulfillment of QoS requirements expressed in terms of application deadlines. We propose a preliminary version of a tool embedding a local-search-based algorithm exploiting also an integer nonlinear mathematical formulation and a queueing network simulation to solve the problem.
引用
收藏
页码：175 / 176
页数：2
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