Advanced search
2 files | 3.25 MB Add to list

Resource management in a containerized cloud : status and challenges

Pieter-Jan Maenhaut (UGent) , Bruno Volckaert (UGent) , Veerle Ongenae (UGent) and Filip De Turck (UGent)
Author
Organization
Abstract
Cloud computing heavily relies on virtualization, as with cloud computing virtual resources are typically leased to the consumer, for example as virtual machines. Efficient management of these virtual resources is of great importance, as it has a direct impact on both the scalability and the operational costs of the cloud environment. Recently, containers are gaining popularity as virtualization technology, due to the minimal overhead compared to traditional virtual machines and the offered portability. Traditional resource management strategies however are typically designed for the allocation and migration of virtual machines, so the question arises how these strategies can be adapted for the management of a containerized cloud. Apart from this, the cloud is also no longer limited to the centrally hosted data center infrastructure. New deployment models have gained maturity, such as fog and mobile edge computing, bringing the cloud closer to the end user. These models could also benefit from container technology, as the newly introduced devices often have limited hardware resources. In this survey, we provide an overview of the current state of the art regarding resource management within the broad sense of cloud computing, complementary to existing surveys in literature. We investigate how research is adapting to the recent evolutions within the cloud, being the adoption of container technology and the introduction of the fog computing conceptual model. Furthermore, we identify several challenges and possible opportunities for future research.
Keywords
OF-THE-ART, PERFORMANCE INTERFERENCE, COST-EFFICIENT, ALLOCATION, ALGORITHMS, FRAMEWORK, MODEL, ORCHESTRATION, OPTIMIZATION, SIMULATION, Resource management, Containers, Virtual machines, Cloud computing, Fog, computing, Edge computing, Survey

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.21 MB
  • (...).pdf
    • full text (Accepted manuscript)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 2.05 MB

Citation

Please use this url to cite or link to this publication:

MLA
Maenhaut, Pieter-Jan, et al. “Resource Management in a Containerized Cloud : Status and Challenges.” JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, vol. 28, no. 2, 2020, pp. 197–246.
APA
Maenhaut, P.-J., Volckaert, B., Ongenae, V., & De Turck, F. (2020). Resource management in a containerized cloud : status and challenges. JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 28(2), 197–246.
Chicago author-date
Maenhaut, Pieter-Jan, Bruno Volckaert, Veerle Ongenae, and Filip De Turck. 2020. “Resource Management in a Containerized Cloud : Status and Challenges.” JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT 28 (2): 197–246.
Chicago author-date (all authors)
Maenhaut, Pieter-Jan, Bruno Volckaert, Veerle Ongenae, and Filip De Turck. 2020. “Resource Management in a Containerized Cloud : Status and Challenges.” JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT 28 (2): 197–246.
Vancouver
1.
Maenhaut P-J, Volckaert B, Ongenae V, De Turck F. Resource management in a containerized cloud : status and challenges. JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT. 2020;28(2):197–246.
IEEE
[1]
P.-J. Maenhaut, B. Volckaert, V. Ongenae, and F. De Turck, “Resource management in a containerized cloud : status and challenges,” JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, vol. 28, no. 2, pp. 197–246, 2020.
@article{8637782,
  abstract     = {Cloud computing heavily relies on virtualization, as with cloud computing virtual resources are typically leased to the consumer, for example as virtual machines. Efficient management of these virtual resources is of great importance, as it has a direct impact on both the scalability and the operational costs of the cloud environment. Recently, containers are gaining popularity as virtualization technology, due to the minimal overhead compared to traditional virtual machines and the offered portability. Traditional resource management strategies however are typically designed for the allocation and migration of virtual machines, so the question arises how these strategies can be adapted for the management of a containerized cloud. Apart from this, the cloud is also no longer limited to the centrally hosted data center infrastructure. New deployment models have gained maturity, such as fog and mobile edge computing, bringing the cloud closer to the end user. These models could also benefit from container technology, as the newly introduced devices often have limited hardware resources. In this survey, we provide an overview of the current state of the art regarding resource management within the broad sense of cloud computing, complementary to existing surveys in literature. We investigate how research is adapting to the recent evolutions within the cloud, being the adoption of container technology and the introduction of the fog computing conceptual model. Furthermore, we identify several challenges and possible opportunities for future research.},
  author       = {Maenhaut, Pieter-Jan and Volckaert, Bruno and Ongenae, Veerle and De Turck, Filip},
  issn         = {1064-7570},
  journal      = {JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT},
  keywords     = {OF-THE-ART,PERFORMANCE INTERFERENCE,COST-EFFICIENT,ALLOCATION,ALGORITHMS,FRAMEWORK,MODEL,ORCHESTRATION,OPTIMIZATION,SIMULATION,Resource management,Containers,Virtual machines,Cloud computing,Fog,computing,Edge computing,Survey},
  language     = {eng},
  number       = {2},
  pages        = {197--246},
  title        = {Resource management in a containerized cloud : status and challenges},
  url          = {http://dx.doi.org/10.1007/s10922-019-09504-0},
  volume       = {28},
  year         = {2020},
}

Altmetric
View in Altmetric
Web of Science
Times cited: