Cloud Container Technologies: A State-of-the-Art Review

Pahl, Claus; Brogi, Antonio; Soldani, Jacopo; Jamshidi, Pooyan

doi:10.1109/tcc.2017.2702586

Cited by 280 publications

(164 citation statements)

References 11 publications

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“…Second, since Cloud and Fog providers aim to maximize the number of the users who are concurrently served and the container-based virtualization technology allows isolation of the computing resources on a per-user basis [8], the per-core computing frequency available at each computing node N must be considered limited up to a maximum value: f (M AX) N (bit/sec), that, in turn, is dictated by service policy of the Service Providers.…”

Section: Must Be As Low As Possiblementioning

confidence: 99%

EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

2019

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The emerging 5G paradigm will enable multi-radio smartphones to run high-rate stream applications. However, since current smartphones remain resource and battery-limited, the 5G era opens new challenges on how to actually support these applications. In principle, the service orchestration capability of the Fog and Cloud Computing paradigms could be an effective means of dynamically providing resource-augmentation to smartphones. Motivated by these considerations, the peculiar focus of this paper is on the joint and adaptive optimization of the resource and task allocations of mobile stream applications in 5G-supported multi-tier Mobile-Fog-Cloud virtualized ecosystems. The objective is the minimization of the computing-plus-network energy of the overall ecosystem under hard constraints on the minimum streaming rate and the maximum computing-plus-networking resources. To this end, (i) we model the target ecosystem energy by explicitly accounting for the virtualized and multi-core nature of the Fog/Cloud servers; (ii) since the resulting problem is nonconvex and involves both continuous and discrete variables, we develop an optimality-preserving decomposition into the cascade of a (continuous) resource allocation sub-problem and a (discrete) task-allocation sub-problem; (iii) we numerically solve the first sub-problem through a suitably designed set of gradient-based adaptive iterations, while we approach the solution of the second sub-problem by resorting to an ad-hoc-developed elitary Genetic algorithm. Finally, we design the main blocks of EcoMobiFog, a technological virtualized platform for supporting the developed solver. Extensive numerical tests confirm that the energy-delay performance of the proposed solving framework is typically within a few per-cent the benchmark one of the exhaustive searchbased solution.

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Section: Must Be As Low As Possiblementioning

confidence: 99%

EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

2019

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“…On the other hand, Docker follows a “snapshot‐based” approach. Docker is the de facto standard for container‐based virtualization, and it permits packaging software components (together with all software dependencies they need to run) in Docker images , which are then exploited as read‐only templates to create and run Docker containers . Docker containers can also mount external volumes , which ensure data persistence independently of the life cycle of containers .…”

Section: Introductionmentioning

confidence: 99%

TosKer: A synergy between TOSCA and Docker for orchestrating multicomponent applications

2018

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Summary How to flexibly manage complex applications across heterogeneous cloud platforms is one of the main concerns in today's IT enterprise. The OASIS standard TOSCA (Topology and Orchestration Specification for Cloud Applications) and the Docker ecosystem are two emerging solutions trying to address this problem from different perspectives. In this paper, we propose a solution that tries to synergically combine the pros of both TOSCA and of Docker. More precisely, we propose a TOSCA‐based representation for specifying the software components and the Docker containers forming an application. We also present TosKer, an engine for orchestrating the management of multicomponent applications based on the proposed TOSCA representation and on Docker. Finally, we illustrate how TosKer was fruitfully exploited in a concrete case study based on a third‐party application.

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“…The current defacto standard technology for container‐based virtualization is Docker, a platform for building, shipping, and running applications inside portable containers. Docker containers run from Docker images, which are the read‐only templates used to create them.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with previous existing virtualisation approaches like virtual machines, the use of containers features faster start-up times and less overhead. 7 The current defacto standard technology for container-based virtualization is Docker, 8,9 a platform for building, shipping, and running applications inside portable containers. Docker containers run from Docker images, which are the read-only templates used to create them.…”

Section: Introductionmentioning

confidence: 99%

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A microservice‐based architecture for (customisable) analyses of Docker images

2018

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Summary We introduce DockerAnalyser, a microservice‐based tool that permits building customised analysers of Docker images. The architecture of DockerAnalyser is designed to crawl Docker images from a remote Docker registry, to analyse each image by running an analysis function, and to store the results into a local database. Users can build their own image analysers by instantiating DockerAnalyser with a custom analysis function and by configuring the architecture. More precisely, the steps needed to obtain new analysers are (1) replacing the analysis function used to analyse crawled Docker images, (2) setting the policy for crawling Docker images, and (3) setting the scalability options for obtaining a scalable architecture. In this paper, we also present 2 different use cases, ie, 2 different analysers of Docker images created by instantiating DockerAnalyser with 2 different analysis functions and configuration options. The 2 use cases show that DockerAnalyser decreases the effort required to obtain new analysers versus building them from scratch.

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Cloud Container Technologies: A State-of-the-Art Review

Cited by 280 publications

References 11 publications

EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

TosKer: A synergy between TOSCA and Docker for orchestrating multicomponent applications

A microservice‐based architecture for (customisable) analyses of Docker images

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