Simulators for Fog Computing and Information Processing

被引:1
作者
Gupta, Prince [1 ]
Sharma, Rajeev [2 ]
Gupta, Sachi [3 ]
机构
[1] SRM Inst Sci & Technol, Dept Comp Sci & Engn, Delhi NCR Campus, Ghaziabad, Uttar Pradesh, India
[2] SRM Inst Sci & Technol, Dept Comp Sci & Engn, Delhi NCR Campus, Ghaziabad, Uttar Pradesh, India
[3] Galgotias Coll Engn & Technol, Dept Comp Sci & Engn, Greater Noida, Uttar Pradesh, India
关键词
Fog computing; Cloud computing; Simulation tools; Modeling; IoT Communication; INTERNET; THINGS; EDGE; TOOLKIT; CLOUD; IOT; NETWORK; DESIGN;
D O I
10.1007/s40010-024-00891-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The concept of fog computing refers to a paradigm of distributed computing that extends cloud computing to the most remote parts of the network. Simulators are useful for analyzing resource management techniques including load balancing, fault tolerance, and energy efficiency in fog computing settings. This could result in the creation of more effective resource management algorithms. Fog simulators offer a realistic environment for testing fog computing applications and systems, incorporating authentic network conditions, device capabilities, and application requirements. This aids in recognizing and resolving such problems before implementing fog computing systems in practical situations. Fog computing links the breach between the cloud and other networking edges, qualifying the decentralized operation of computing equipment. Traditional cloud computing has several problems, including latency, size, space, and network failure. Fog computing can quickly and easily fix these issues. Moreover, it creates a complicated set of issues for both the scientific community and business. Both have several unresolved issues to deal with, including standardizing architecture and dealing with issues like resource management, service management, quality of service (QoS), participation, and communication. The objective of the article is to present a study on simulators for fog computing and cloud information.
引用
收藏
页码:437 / 447
页数:11
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