CCO - Cloud Cost Optimization

被引：0
|
作者：
Yehoshua, Adi [1 ]
Kolchinsky, Ilya [1 ]
Schuster, Assaf [2 ]
机构：
[1] Red Hat, Raanana, Israel
[2] Technion, Haifa, Israel
来源：
PROCEEDINGS OF THE 16TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE, SYSTOR 2023 | 2023年
关键词：
Cost optimizer; Cloud computing; AWS; Azure; Hybrid cloud;
D O I：
10.1145/3579370.3594746
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cloud computing can be complex, but optimal management of it doesn't have to be. In this paper, we present the design and implementation of a scalable multi-Cloud Cost Optimizer (CCO) that calculates the optimal deployment scheme for a given workload on public or hybrid clouds. The goal of CCO is to reduce monetary costs while taking into account the specifications of the workload, including resource requirements and constraints. By using a combination of meta-heuristics, CCO addresses the combinatorial complexity of the problem and currently supports AWS and Azure. The CCO tool [1], can be accessed through a web UI or API and supports on-demand and spot instances. For broad discussion refer to [2].
引用
收藏
页码：137 / 137
页数：1
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