Industrial Cloud: Toward Inter-enterprise Integration

Wlodarczyk, Tomasz Wiktor; Rong, Chunming; Thorsen, Kari Anne Haaland

doi:10.1007/978-3-642-10665-1_42

Cited by 22 publications

(14 citation statements)

References 10 publications

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“…The interdependencies of the specific community remain the same, which is the reason why both public clouds and community clouds belong to the same collaboration type [5]. From the security point of view, the community clouds have a higher security level than public clouds [8]. Suppose a given task is decomposed to several service flows.…”

Section: Related Workmentioning

confidence: 99%

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An Optimized Computational Model for Multi-Community-Cloud Social Collaboration

Hao

Min

Chen

et al. 2014

IEEE Trans. Serv. Comput.

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Abstract-Community Cloud Computing is an emerging and promising computing model for a specific community with common concerns, such as security, compliance and jurisdiction. It utilizes the spare resources of networked computers to provide the facilities so that the community gains services from the cloud. The effective collaboration among the community clouds offers a powerful computing capacity for complex tasks containing the subtasks that need data exchange. Selecting the best group of community clouds that are the most economy-efficient, communication-efficient, secured, and trusted to accomplish a complex task is very challenging. To address this problem, we firstly formulate a computational model for multi-community-cloud collaboration, namely M C 3 . The proposed model is then optimized from four aspects: minimizing the sum of access cost and monetary cost, maximizing the security-level agreement and trust among the community clouds. Furthermore, an efficient and comprehensive selection algorithm is devised to extract the best group of community clouds in M C 3 . Finally, the extensive simulation experiments and performance analysis of the proposed algorithm are conducted. The results demonstrate that the proposed algorithm outperforms the minimal set coverings based algorithm and the random algorithm. Moreover, the proposed comprehensive community clouds selection algorithm can guarantee good global performance in terms of access cost, monetary cost, security level and trust between user and community clouds.

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Section: Related Workmentioning

confidence: 99%

“…It has a low security level comparable to that of public clouds. Additionally, the networked cloud computing model is commonly used in industrial clouds where the output of each point can become the input for the other points [8]. However, the fact that they constitute a closed network of private clouds guarantees a high level of security.…”

Section: Related Workmentioning

confidence: 99%

An Optimized Computational Model for Multi-Community-Cloud Social Collaboration

Hao

Min

Chen

et al. 2014

IEEE Trans. Serv. Comput.

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“…As depicted in Figure 3 the contents of these templates can be modified during the process of SLA creation and negotiation (within constraints defined by the service provider) to better match the requirements of a customer. More comprehensive SLA management may require using of the Semantic Web technologies and using ontologies for SLA definition and logical reasoning as discussed in [31] and applied for inter-cloud scenario by Wlodarczyk in [32].…”

Section: Sla Managementmentioning

confidence: 99%

Security Infrastructure for On-demand Provisioned Cloud Infrastructure Services

Demchenko

Ngo

Laat

et al. 2011

2011 IEEE Third International Conference on Cloud Computing Technology and Science

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Abstract-Providing consistent security services in on-demand provisioned Cloud infrastructure services is of primary importance due to multi-tenant and potentially multi-provider nature of Clouds Infrastructure as a Service (IaaS) environment. Cloud security infrastructure should address two aspects of the IaaS operation and dynamic security services provisioning: (1) provide security infrastructure for secure Cloud IaaS operation; (2) provisioning dynamic security services, including creation and management of the dynamic security associations, as a part of the provisioned composite services or virtual infrastructures. The first task is a traditional task in security engineering, while dynamic provisioning of managed security services in virtualised environment remains a problem and requires additional research. In this paper we discuss both aspects of the Cloud Security and provide suggestions about required security mechanisms for secure data management in dynamically provisioned Cloud infrastructures. The paper refers to the architectural framework for on-demand infrastructure services provisioning, being developed by authors, that provides a basis for defining the proposed Cloud Security Infrastructure. The proposed SLA management solution is based on the WS-Agreement and allows dynamic SLA management during the whole provisioned services lifecycle. The paper discusses conceptual issues, basic requirements and practical suggestions for dynamically provisioned access control infrastructure (DACI). The paper proposes the security mechanisms that are required for consistent DACI operation, in particular security tokens used for access control, policy enforcement and authorisation session context exchange between provisioned infrastructure services and Cloud provider services. The suggested implementation is based on the GAAA Toolkit Java library developed by authors that is extended with the proposed Common Security Services Interface (CSSI) and additional mechanisms for binding sessions and security context between provisioned services and virtualised platform.

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“…OaaS is intimately related to the Platform as a Service service model, in which providers provide their customers with a computing environment to which they can deploy their software packages, including their orchestrations [26]. Wlodarczyk and others [33] mentioned that ESBs that work on the cloud are the key to taking EAI a step forward: Inter-EAI. This motivates the need for more efficient orchestration engines in the Cloud: the more efficient the engine, the less users have to pay to run their orchestration processes; similarly: the more efficient the engine, the more customers a provider can serve using the same resources.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Orchestration Engine for the Cloud

Frantz

Corchuelo

Arjona³

2011

2011 IEEE Third International Conference on Cloud Computing Technology and Science

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The Cloud is evolving as a cost-effective solution to run services that support a variety of business processes. It is not surprising then that Orchestration as a Service (OaaS) is gaining importance as a means to integrate the many services a typical company runs or outsources in the Cloud. OaaS requires very efficient orchestration engines: the faster they work, the less customers have to pay and the more customers can be served. In this paper, we report on a new orchestration engine; we have performed a series of stringent experiments that prove that it outperforms a state-of-the-art orchestration engine in widespread use. Our conclusion is that our proposal is an efficient, solid orchestration engine ready for the Cloud.

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Industrial Cloud: Toward Inter-enterprise Integration

Cited by 22 publications

References 10 publications

An Optimized Computational Model for Multi-Community-Cloud Social Collaboration

An Optimized Computational Model for Multi-Community-Cloud Social Collaboration

Security Infrastructure for On-demand Provisioned Cloud Infrastructure Services

An Efficient Orchestration Engine for the Cloud

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