Modelling and Analysing Cloud Application Management

Brogi, Antonio; Canciani, Andrea; Soldani, Jacopo

doi:10.1007/978-3-319-24072-5_2

Cited by 23 publications

(39 citation statements)

References 10 publications

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“…The model and algorithms we have proposed can represent a first step to tackle the problem of finding a representation of Fog systems that enables cooperation among different providers. Indeed, our model takes into account various relevant aspects of the Fog in order to determine QoS-aware deployments of IoT applications: [18] or JSON-based CloudML [28]). The model permits to describe the Fog infrastructure, regardless of whether the latter will exploit only ISP/telco network apparatus or a wider gamut of devices, whilst taming its heterogeneous nature and abstracting from the type of service offered by the involved Cloud providers (SaaS, IaaS, PaaS).…”

Section: Discussionmentioning

confidence: 99%

“…Projects like SeaClouds [11], Aeolus [15] or Cloud4SOA [16], for instance, have proposed optimised planning solutions to deploy software systems to different (IaaS or PaaS) Clouds. [17] proposed to use OASIS TOSCA [18] to model IoT applications in IoT+Cloud scenarios. Recently, [19] have linked services and networks QoS by proposing a QoS-and connection-aware Cloud service composition approach to satisfy end-to-end QoS requirements in the Cloud.…”

Section: Related Workmentioning

confidence: 99%

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QoS-Aware Deployment of IoT Applications Through the Fog

Brogi

Forti

2017

IEEE Internet Things J.

Self Cite

403

262

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Abstract-Fog computing aims at extending the Cloud by bringing computational power, storage and communication capabilities to the edge of the network, in support of the IoT. Segmentation, distribution and adaptive deployment of functionalities over the continuum from Things to Cloud are challenging tasks, due to the intrinsic heterogeneity, hierarchical structure and very large scale infrastructure they will have to exploit.In this paper we propose a simple, yet general, model to support the QoS-aware deployment of multi-component IoT applications over Fog infrastructures. The model describes operational systemic qualities of the available infrastructure (latency and bandwidth), interactions among software components and Things, and business policies. Algorithms to determine eligible deployment plans for an application over a Fog infrastructure are presented. A Java tool, FogTorch, based on the proposed model has been prototyped.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

QoS-Aware Deployment of IoT Applications Through the Fog

Brogi

Forti

2017

IEEE Internet Things J.

Self Cite

403

262

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“…present an approach to enable the seamless integration of script‐centric and service‐centric configuration technologies in order to customize and automate provisioning of composite cloud applications. In , the authors present an extension of the TOSCA standard in order to specify the behavior of a cloud application's management operations. They also propose several kinds of analysis for checking, for example, the validity of a management plan or the possibility to reach certain configuration given a plan.…”

Section: Related Workmentioning

confidence: 99%

Reliable self-deployment of distributed cloud applications

Etchevers

Salaün

Boyer

et al. 2016

Softw. Pract. Exper.

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SUMMARYCloud applications consist of a set of interconnected software elements distributed over several virtual machines, themselves hosted on remote physical servers. Most existing solutions for deploying such applications require human intervention to configure parts of the system, do not conform to functional dependencies among elements that must be respected when starting them, and do not handle virtual machine failures that can occur when deploying an application. This paper presents a self-deployment protocol that was designed to automatically configure a set of software elements to be deployed on different virtual machines. This protocol works in a decentralized way, that is, there is no need for a centralized server. It also starts the software elements in a certain order, respecting important architectural invariants. This protocol supports virtual machine and network failures and always succeeds in deploying an application when faced with a finite number of failures. Designing such highly parallel management protocols is difficult; therefore, formal modeling techniques and verification tools were used for validation purposes. The protocol was implemented in Java and was used to deploy industrial applications.

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“…A short description of a first prototype of T os K er was provided in the work of Brogi et al This article extends (1) by integrating management protocols with the TOSCA‐based representation for multicomponent applications to permit customizing the management behavior of application components, (2) by presenting an extended prototype of T os K er , which now supports the orchestration of software components whose structure and management behavior has been customized, and (3) by including a discussion of how T os K er has been fruitfully exploited on a concrete case study.…”

Section: Introductionmentioning

confidence: 98%

“…Management protocols permit describing the management behavior of the components forming the topology of a TOSCA application. Management protocols are finite state machines whose states and transitions are associated with conditions on the components requirements and capabilities.…”

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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Modelling and Analysing Cloud Application Management

Cited by 23 publications

References 10 publications

QoS-Aware Deployment of IoT Applications Through the Fog

QoS-Aware Deployment of IoT Applications Through the Fog

Reliable self-deployment of distributed cloud applications

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

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