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Philipp Stephanow - One of the best experts on this subject based on the ideXlab platform.

  • test based Cloud Service certification of opportunistic providers
    International Conference on Cloud Computing, 2016
    Co-Authors: Philipp Stephanow, Gaurav Kumar Srivastava, Julian Schutte
    Abstract:

    Through automatically checking whether Cloud Services satisfy customers' requirements, Cloud Service certification promises Cloud providers competitive advantages, e.g. by attracting new customers. However, certification can increase costs of Cloud providers, creating incentives for fraudulent providers to save costs by only pretending to satisfy customers' requirements. Opportunistic providers are fraudulent providers who will only cheat if they are not caught. In this paper, we propose an approach to support Cloud Service certification of opportunistic providers. To that end, we introduce a method to model the behavior of opportunistic providers and propose a framework supporting test-based certification which builds on randomized testing and is non-invasive. We show how our framework reduces the willingness of opportunistic providers to cheat, and present experimental results of tests supporting the certification of requirements related to resource availability, resource provisioning, and quality of Service.

  • generating threat profiles for Cloud Service certification systems
    High-Assurance Systems Engineering, 2016
    Co-Authors: Philipp Stephanow, Christian Banse, Julian Schutte
    Abstract:

    Cloud Service certification aims at automatically validating whether a Cloud Service satisfies a predefined set of requirements. To that end, certification systems collect and evaluate sensitive data from various sources of a Cloud Service. At the same time, the certification system itself has to be resilient to attacks to generate trustworthy statements about the Cloud Service. Thus system architects are faced with the task of assessing the trustworthiness of different certification system designs. To cope with that challenge, we propose a method to model different architecture variants of Cloud Service certification systems and analyze threats these systems face. By applying our method to a specific Cloud Service certification system, we show how threats to such systems can be derived in a standardized way that allows us to evaluate different architecture configurations.

  • language classes for Cloud Service certification systems
    World Congress on Services, 2015
    Co-Authors: Philipp Stephanow, Mark Gall
    Abstract:

    Certification of Cloud Services aims at increasing the trust of customers towards Cloud Services and providing comparability between Cloud Services. Applying the concept of certification to Cloud Services requires systems which continuously detect ongoing changes of the Service and assess their impact on customer requirements. In this paper, we propose eight language classes for Cloud Service certification systems to facilitate research in design and implementation of these systems. To that end, we draw on language classes developed for signature-based intrusion detection systems and apply them to Cloud Service certification systems.

  • ServiceS - Language Classes for Cloud Service Certification Systems
    2015 IEEE World Congress on Services, 2015
    Co-Authors: Philipp Stephanow, Mark Gall
    Abstract:

    Certification of Cloud Services aims at increasing the trust of customers towards Cloud Services and providing comparability between Cloud Services. Applying the concept of certification to Cloud Services requires systems which continuously detect ongoing changes of the Service and assess their impact on customer requirements. In this paper, we propose eight language classes for Cloud Service certification systems to facilitate research in design and implementation of these systems. To that end, we draw on language classes developed for signature-based intrusion detection systems and apply them to Cloud Service certification systems.

Mark Gall - One of the best experts on this subject based on the ideXlab platform.

  • language classes for Cloud Service certification systems
    World Congress on Services, 2015
    Co-Authors: Philipp Stephanow, Mark Gall
    Abstract:

    Certification of Cloud Services aims at increasing the trust of customers towards Cloud Services and providing comparability between Cloud Services. Applying the concept of certification to Cloud Services requires systems which continuously detect ongoing changes of the Service and assess their impact on customer requirements. In this paper, we propose eight language classes for Cloud Service certification systems to facilitate research in design and implementation of these systems. To that end, we draw on language classes developed for signature-based intrusion detection systems and apply them to Cloud Service certification systems.

  • ServiceS - Language Classes for Cloud Service Certification Systems
    2015 IEEE World Congress on Services, 2015
    Co-Authors: Philipp Stephanow, Mark Gall
    Abstract:

    Certification of Cloud Services aims at increasing the trust of customers towards Cloud Services and providing comparability between Cloud Services. Applying the concept of certification to Cloud Services requires systems which continuously detect ongoing changes of the Service and assess their impact on customer requirements. In this paper, we propose eight language classes for Cloud Service certification systems to facilitate research in design and implementation of these systems. To that end, we draw on language classes developed for signature-based intrusion detection systems and apply them to Cloud Service certification systems.

Julian Schutte - One of the best experts on this subject based on the ideXlab platform.

  • test based Cloud Service certification of opportunistic providers
    International Conference on Cloud Computing, 2016
    Co-Authors: Philipp Stephanow, Gaurav Kumar Srivastava, Julian Schutte
    Abstract:

    Through automatically checking whether Cloud Services satisfy customers' requirements, Cloud Service certification promises Cloud providers competitive advantages, e.g. by attracting new customers. However, certification can increase costs of Cloud providers, creating incentives for fraudulent providers to save costs by only pretending to satisfy customers' requirements. Opportunistic providers are fraudulent providers who will only cheat if they are not caught. In this paper, we propose an approach to support Cloud Service certification of opportunistic providers. To that end, we introduce a method to model the behavior of opportunistic providers and propose a framework supporting test-based certification which builds on randomized testing and is non-invasive. We show how our framework reduces the willingness of opportunistic providers to cheat, and present experimental results of tests supporting the certification of requirements related to resource availability, resource provisioning, and quality of Service.

  • generating threat profiles for Cloud Service certification systems
    High-Assurance Systems Engineering, 2016
    Co-Authors: Philipp Stephanow, Christian Banse, Julian Schutte
    Abstract:

    Cloud Service certification aims at automatically validating whether a Cloud Service satisfies a predefined set of requirements. To that end, certification systems collect and evaluate sensitive data from various sources of a Cloud Service. At the same time, the certification system itself has to be resilient to attacks to generate trustworthy statements about the Cloud Service. Thus system architects are faced with the task of assessing the trustworthiness of different certification system designs. To cope with that challenge, we propose a method to model different architecture variants of Cloud Service certification systems and analyze threats these systems face. By applying our method to a specific Cloud Service certification system, we show how threats to such systems can be derived in a standardized way that allows us to evaluate different architecture configurations.

Qiang Dua - One of the best experts on this subject based on the ideXlab platform.

  • converged network Cloud Service composition with end to end performance guarantee
    IEEE Transactions on Cloud Computing, 2018
    Co-Authors: Ju Huang, Qiang Dua, Song Guo
    Abstract:

    The crucial role of networking in Cloud computing calls for federated management of both computing and networking resources for end-to-end Service provisioning. Application of the Service-Oriented Architecture (SOA) in both Cloud computing and networking enables a convergence of network and Cloud Service provisioning. One of the key challenges to high performance converged network-Cloud Service provisioning lies in composition of network and Cloud Services with end-to-end performance guarantee. In this paper, we propose a QoS-aware Service composition approach to tackling this challenging issue. We first present a system model for network-Cloud Service composition and formulate the Service composition problem as a variant of Multi-Constrained Optimal Path (MCOP) problem. We then propose an approximation algorithm to solve the problem and give theoretical analysis on properties of the algorithm to show its effectiveness and efficiency for QoS-aware network-Cloud Service composition. Performance of the proposed algorithm is evaluated through extensive experiments and the obtained results indicate that the proposed method achieves better performance in Service composition than the best current MCOP approaches.

  • modeling and performance analysis on network virtualization for composite network Cloud Service provisioning
    World Congress on Services, 2011
    Co-Authors: Qiang Dua
    Abstract:

    Computer networks play a crucial role in Cloud Service provisioning and network Quality of Service (QoS) has a significant impact on Cloud Service performance. Therefore networking and Clouding computing systems should be modeled and analyzed as a composite Service provisioning system in order to obtain thorough understanding about the user's perception of Cloud Service performance. Network virtualization is one of the latest developments in the networking area, which de-couples networking Services from network infrastructures. The Service-Oriented Architecture (SOA) serves as a key enabler in both network virtualization and Cloud computing, thus offering a promising basis for network and Cloud composition. The research work presented in this paper investigates application of SOA in network virtualization for composing network and Cloud Services, and analyzes the achievable performance of composite network-Cloud Service provisioning. This paper proposes a SOA-based network virtualization paradigm, describes a Service-oriented framework for composing network and Cloud Services, proposes a new approach to modeling Service capabilities of composite network -- Cloud Service provisioning systems, and develops analysis techniques for determining the performance that can be offered by composite network -- Cloud Services to their end users.

Zhe Li - One of the best experts on this subject based on the ideXlab platform.

  • CCGRID - Cloud Service Recommendation: State of the Art and Research Challenges
    2015 15th IEEE ACM International Symposium on Cluster Cloud and Grid Computing, 2015
    Co-Authors: Xianrong Zheng, Dejun Mu, Chen Ding, Zhe Li
    Abstract:

    Cloud computing is an attractive platform which offers on-demand resources as Services. When many Cloud Services are available, some may have similar or same functionalities. So Cloud Service recommendation, which can help users to select the Services based on their preferences, become an important technique for Cloud Services. In this paper, we review the relevant technologies that can perform Cloud Service recommendation. First, we introduce the web Service selection and recommendation technologies. Next, we describe QoS measurement for Cloud Service and different recommendation methods focusing on Collaborative filtering. Third, we discuss the research challenges and opportunities for Cloud Service recommendation. This paper is expected to benefit both academic and industry.