Building an Open-Source Platform-as-a-Service with Intelligent Management of Multiple Cloud Resources

Şandru, Călin; Petcu, Dana; Munteanu, Victor Ion

doi:10.1109/ucc.2012.54

Cited by 14 publications

(8 citation statements)

References 4 publications

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“…To implement the multi‐cloud management, Sandru, C. et al . propose a specific module of a recent open‐source and cloud‐vendor agnostic platform‐as‐as‐service which are using artificial intelligence methods and automatic computing techniques in which they adopt multi‐agent system technique to ensure the connection to different cloud services.…”

Section: Related Workmentioning

confidence: 99%

Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology

Hou

Mao

2016

Concurrency and Computation

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SUMMARYWith the rapid development and application of cloud computing, there exist plenty of clouds that are distributed on the open Internet, decentralized in the management, evolving with various services providing diverse functionalities and QoS. Moreover, because of the potential correlativity of cloud services and the dynamic of tenants' requirements, these services in multiple clouds are expected to be effectively managed in an autonomic and transparent way so that tenants can obtain continuous and efficient services. To this end, this paper proposes an approach based on self-organizing multi-agent system to achieving crossclouds services management, including the service provision at the tenant-end and services aggregation at the cloud-end. In this approach, the clouds services are managed by a series of autonomous agents that are capable of autonomously accessing managed services. They can interact with each other to obtain macro-level services aggregation in terms of self-organization to adapt to the changes of both tenants' requirements and cloud services. The paper details the architecture, mechanisms, and algorithms to implement the aggregation and provision of services in cross-clouds. We also develop relevant crossclouds services management platform called as CCloudMan, with which several experiments based on the public data sets have been conducted and the experimental results show the efficiency and usability of our proposed approach.

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Section: Related Workmentioning

confidence: 99%

Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology

Hou

Mao

2016

Concurrency and Computation

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“…They support numerous IaaS providers such as OpenStack, CloudStack, Eucalyptus, Rackspace, vCloud and Amazon Web Services. Commercial products and research projects such as RightScale, EnStratus, and mOSAIC (Sandru et al, 2012) also adopt a similar approach. While these products and projects effectively foster their deployment and maintenance, they remain on the code-level, which makes redesign difficult and error-prone.…”

Section: Related Workmentioning

confidence: 99%

Towards a Model-Defined Cloud-of-Clouds

2016

STCC

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With the growth in the number of Cloud Service Providers, many enterprises and organizations are now able to use multiple cloud platforms in order to achieve improved overall Quality-of-Service (QoS), reliability and cost efficiency. However, due to the diversity in architecture and functionalities among different cloud platforms, it is difficult to build a system that simultaneously manages multiple clouds, i.e., a cloud-of-clouds. This paper presents a model-defined approach to the development of a cloud-of-clouds management (abbreviated as CCMan) system. The runtime model of a CCMan system that meets custom management requirements is constructed through model construction, model merging and model transformation. Each step of the approach is presented in detail in terms of an example. Evaluation of the approach from several perspectives shows that the efforts needed to both develop the CCMan system and operate its services are significantly reduced with negligible performance loss.

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“…mOSAIC [33], [34] tackles the vendor lock-in problem by providing an open-source platform including an API for provisioning and deployment of applications on multiple clouds.…”

Section: E Eu Projectsmentioning

confidence: 99%

Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems

Ferry

Rossini

Chauvel

et al. 2013

2013 IEEE Sixth International Conference on Cloud Computing

145

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Abstract-In the landscape of cloud computing, the competition between providers has led to an ever growing number of cloud solutions offered to consumers. The ability to run and manage multi-cloud systems (i.e., applications on multiple clouds) allows exploiting the peculiarities of each cloud solution and hence optimising the performance, availability, and cost of the applications. However, these cloud solutions are typically heterogeneous and the provided features are often incompatible. This diversity hinders the proper exploitation of the full potential of cloud computing, since it prevents interoperability and promotes vendor lock-in, as well as it increases the complexity of development and administration of multi-cloud systems. This problem needs to be addressed promptly. In this paper, we provide a classification of the state-of-the-art of cloud solutions, and argue for the need for model-driven engineering techniques and methods facilitating the specification of provisioning, deployment, monitoring, and adaptation concerns of multi-cloud systems at design-time and their enactment at run-time.

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Building an Open-Source Platform-as-a-Service with Intelligent Management of Multiple Cloud Resources

Cited by 14 publications

References 4 publications

Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology

Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology

Towards a Model-Defined Cloud-of-Clouds

Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems

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