A systematic literature review of cloud brokers for autonomic service distribution
In recent years, cloud computing has become an essential distributed computing platform and has achieved enormous popularity. Within cloud computing, the Cloud service broker creates an abstraction layer between provider and consumer so that customers notice the cloud service providers’ offered se...
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Main Authors: | , , |
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Format: | Article |
Language: | English English |
Published: |
IEEE
2024
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Subjects: | |
Online Access: | http://irep.iium.edu.my/114722/1/114722_A%20systematic%20literature%20review%20of%20cloud%20brokers.pdf http://irep.iium.edu.my/114722/2/114722_A%20systematic%20literature%20review%20of%20cloud%20brokers_SCOPUS.pdf http://irep.iium.edu.my/114722/ https://ieeexplore.ieee.org/document/10676983 |
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Summary: | In recent years, cloud computing has become an essential distributed computing platform and
has achieved enormous popularity. Within cloud computing, the Cloud service broker creates an abstraction
layer between provider and consumer so that customers notice the cloud service providers’ offered services’
solitary view. The brokers of cloud service help connect the cloud’s substantial resources and select the
data centers of the cloud that meet the user’s requirement while maximizing the entire response time and
reducing cost. The landscape of autonomic cloud brokers has been reviewed in this systematic literature
review study, while the PRISMA approach is used to analyze the literature. This comprehensive review
of cloud brokerage mechanisms is tailored towards the autonomic distribution of services. To emphasize
autonomic computing and cloud-access security brokers, the evolving paradigms of cloud service selection
are detailed and critically analyzed to enhance service distribution efficiency. Further, the role of cloud
brokers in load-balancing services is also highlighted in this study. A new taxonomy for the structured
framework of cloud brokerage mechanisms is introduced based on functionalities, deployment models,
and architecture for the autonomic service distribution. Finally, the study offers valuable insights for future
research challenges and best practices in cloud security. |
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