Toward El Dorado for Cloud Computing

Eberbach, Eugene; Reuter, Alex

doi:10.1145/2797433.2797446

Cited by 3 publications

(1 citation statement)

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“…Recently, container technologies have emerged as a more lightweight alternative for VMs [23,55,138,144]. The major difference with VMs is that a container typically has no operating system installed, but instead all containers deployed on a single machine are running directly on the operating system kernel (OS-level virtualization).…”

Section: Vms and Containersmentioning

confidence: 99%

Resource Management in a Containerized Cloud: Status and Challenges

et al. 2019

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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.

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Section: Vms and Containersmentioning

confidence: 99%