Cloud resource orchestration within an open‐source component‐based platform as a service

Petcu, Dana; Panica, Silviu; Crăciun, Ciprian; Neagul, Marian; Şandru, Călin

doi:10.1002/cpe.3175

Cited by 4 publications

(4 citation statements)

References 25 publications

(28 reference statements)

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“…A first version of mOS (mOSAIC OS v1.0), based on SliTaz OS, was developed in the frame of mOSAIC project (http://www.mosaic-cloud.eu). Early reports referring mOS are [9], [10]. mOS 2.0 was already successfully tested on Amazon EC2, Flexiant, Eucalyptus and OpenNebula.…”

Section: Usage In the Context Of Specsmentioning

confidence: 98%

Unattended Deployment of Enabling Platforms for Cloud-Based Applications

Panica

Petcu

2016

2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)

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The deployment of applications able to consume cloud infrastructure services is currently a tedious process especially when it should be often repeated in the application developing phase. We present a technical solution that simplifies the deployment process, as being almost fully automated. Its integration as a module of an open-source platform for enforcing security controls by its users is further discussed.

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Section: Usage In the Context Of Specsmentioning

confidence: 98%

Unattended Deployment of Enabling Platforms for Cloud-Based Applications

Panica

Petcu

2016

2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)

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“…The latest detailed description of the platform functionality at run-time can be found in [5]. The platform is further developed to include monitoring facilities in the frame of the EC-FP7 project MODAClouds [6] and to http://www.journalofcloudcomputing.com/content/3/1/3 improve security features and SLA compliance checks in the frame of EC-FP7 project SPECS [7].…”

Section: Run Time: Wrappers Of Cloud Service Interfacesmentioning

confidence: 99%

Multi-cloud resource management: cloud service interfacing

Munteanu

Şandru

Petcu

2014

Journal of Cloud Computing: Advances, Systems and Applications

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Cloud service abstractions are currently used to hide the underlying complexity given by existing technologies and services, in hope of facilitating the enacting of Cloud Federations and Marketplaces. In particular, resource management systems dealing with multiple Cloud providers need to expose an uniform interface for various services and to build wrappers for the Cloud service APIs. In this paper we discuss the solution adopted by a recent developed open-source and vendor agnostic platform-as-a-service for Multi-Cloud application deployment. The middleware includes a multi-agent system for automatic Cloud resource management. With a modular design, the solution provides a flexible approach to encompass new Cloud service offers as well as new resource types. This paper focuses on the modules which enable resource abstraction and automatized management.

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“…In addition, the fast scalable video coding-(SVC-) based channel-recommendation system for IPTV on a cloud and peer-to-peer (P2P) hybrid platform was studied in [12]. The mechanisms for orchestrating cloud-enabled hardware and software resources were proposed by Petcu et al [13], which should be supported by a recently developed open-source platform as a service. The novel monitoring architecture was proposed by Alcaraz Calero and Aguado [14], which should be addressed to the cloud provider and the cloud consumers.…”

Section: Introductionmentioning

confidence: 99%

Cloud Platform Based on Mobile Internet Service Opportunistic Drive and Application Aware Data Mining

Zhang

2015

Journal of Electrical and Computer Engineering

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Because the static cloud platform cannot satisfy the diversity of mobile Internet service and inefficient data mining problems, we presented a reliable and efficient data mining cloud platform construction scheme based on the mobile Internet service opportunistic driving and application perception. In this scheme, first of all data selection mechanism was established based on mobile Internet service opportunistic drive. Secondly, through the cloud platform different cloud and channel aware, nonlinear mapping from the service to a data set of proposed perceptual model is applied. Finally, on the basis of the driving characteristics and extraction of perceptual features, the cloud platform would be constructed through the service opportunities of mobile Internet applications, which could provide robust and efficient data mining services. The experimental results show that the proposed mechanism, compared to the cloud platform based on distributed data mining, has obvious advantages in system running time, memory usage, and data clustering required time, as well as average clustering quality.

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Cloud resource orchestration within an open‐source component‐based platform as a service

Cited by 4 publications

References 25 publications

Unattended Deployment of Enabling Platforms for Cloud-Based Applications

Unattended Deployment of Enabling Platforms for Cloud-Based Applications

Multi-cloud resource management: cloud service interfacing

Cloud Platform Based on Mobile Internet Service Opportunistic Drive and Application Aware Data Mining

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