Computational intelligence in edge and cloud computing

被引:1
|
作者
Agrawal, Krittika [1 ]
Khetarpal, Poras [1 ]
机构
[1] Bharati Vidyapeeth Coll Engn, Dept Instrumentat & Control, New Delhi, India
来源
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES | 2022年 / 43卷 / 03期
关键词
CC (Cloud Computing); EC (Edge Computing); CI (computational intelligence); Fuzzy system;
D O I
10.1080/02522667.2022.2042097
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
An amalgamated computing prototype that assembles assets midway and gives users these funds via cyberspace are broadly termed as Cloud Computing (CC). The CC is far away from users geographically but is accessible from anywhere. Apart from this, EC (Edge Computing), usually dispenses funds to the web edge and enjoying increase of popularity in vast applications besides less suspension and more committed requirements. EC is providing assets in not a centralized manner, which reply to user's requirement faster and better than the Cloud, but with grounded computing abilities. Together Cloud and Edge are tactful in funds, many large problems occur, for instance performing job scheduling, allocation of resources, and offloading of tasks, which notably is influencing performances in the entire system. C1(Computational intelligence), basically consists of sets of nature-inspired algorithmic approaches, currently exhibiting more capabilities while labeling such optimizing issues inside Cloud and Edge. This article is providing an overview of architecture of application software service system besides architecture in Cloud and Edge and current advances to address those aiding through Computational techniques.
引用
收藏
页码:607 / 613
页数:7
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