Cloud Computing in Solving Problems of COVID-19 Pandemic

被引:0
作者
Singh, Ravi Pratap [1 ]
Haleem, Abid [2 ]
Javaid, Mohd [2 ]
Kataria, Ravinder [3 ]
Singhal, Sandeep [4 ]
机构
[1] Dr BR Ambedkar Natl Inst Technol, Dept Ind & Prod Engn, Jalandhar, Punjab, India
[2] Jamia Millia Islamia, Dept Mech Engn, New Delhi, India
[3] Lovely Profess Univ, Sch Mech Engn, Jalandhar, Punjab, India
[4] Natl Inst Technol, Dept Mech Engn, Kurukshetra, Haryana, India
关键词
Coronavirus; COVID-19; cloud computing; cloud-based applications; pandemic; INDUSTRY; 4.0; SYSTEMS SCIENCE; TECHNOLOGIES; HEALTH; NETWORK; IMPACT; STATE; CARE;
D O I
10.1142/S2424862221500044
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Cloud computing facilitates collaboration, communication, and essential online services during the COVID-19 crisis. The current situation of the COVID-19 pandemic has compelled people to work from their homes, but they have to communicate, collaborate online. Thus, we see an essential role of cloud computing in taking up this challenge of working from home and delivering efficiently. A brief review of Cloud Computing service in the context of COVID-19 pandemic is done using recent papers' by searching keywords such as "Cloud Computing" and "COVID-19" from PubMed's database SCOPUS and Google Scholar. During the lockdown situation, cloud computing technology helps provide commendable service in the healthcare domain. It provides an advanced infrastructure for facilitating digital transformation. A brief discussion has been made on how cloud computing components are vital for overcoming the ongoing situation. This paper also studies the remote working of cloud computing for the COVID-19 pandemic and finally identified significant cloud computing applications for the COVID-19 pandemic. All countries focus on reducing this virus's spread, so this technology helps minimize the spread of this virus by providing online services. It provides an innovative environment that enhances the creativity and productivity of healthcare workers. This technology is efficient in detecting, tracking, and monitoring newly infected patients. In the future, this technology will insight and provide control over this infection to save millions of lives worldwide. This technology is also quite helpful to forecast the future impact of the SARS-Co-2 virus.
引用
收藏
页码:209 / 219
页数:11
相关论文
共 55 条
  • [51] Internet of Things in Industries: A Survey
    Xu, Li Da
    He, Wu
    Li, Shancang
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (04) : 2233 - 2243
  • [52] Object-Oriented Templates for Automated Assembly Planning of Complex Products
    Xu, Li Da
    Wang, Chengen
    Bi, Zhuming
    Yu, Jiapeng
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2014, 11 (02) : 492 - 503
  • [53] Preventing COVID-19 from the perspective of industrial information integration: Evaluation and continuous improvement of information networks for sustainable epidemic prevention
    Yin, Shi
    Zhang, Nan
    Dong, Hengmin
    [J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2020, 19
  • [54] Zhao N., 2020, Sci Insigt Edu Front, V5, P531
  • [55] Implications of COVID-19 for the Electricity Industry: A Comprehensive Review
    Zhong, Haiwang
    Tan, Zhenfei
    He, Yiliu
    Xie, Le
    Kang, Chongqing
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2020, 6 (03): : 489 - 495