The Experts below are selected from a list of 14706 Experts worldwide ranked by ideXlab platform

Sye Loong Keoh - One of the best experts on this subject based on the ideXlab platform.

  • Secure Service Virtualization in IoT by Dynamic Service Dependency Verification
    IEEE Internet of Things Journal, 2016
    Co-Authors: Hajoon Ko, Sye Loong Keoh
    Abstract:

    Virtualizing Internet-of-Things (IoT) Services is a concept of dynamically building customized high-level IoT Services that rely on the real-time data streams flowing from low-level standalone IoT devices. IoT Service Virtualization is essential when a myriads of IoT devices can get online, interact with each other, exchange data, and based on them create one's own Service. Especially, when Virtualization occurs across multiple externals domains, it is crucial for clients to verify the source of virtual Services, i.e., whether they are built based on authentic original Service sources. Also, original Services' sources must be constantly aware of the identity of entities who (recursively) virtualize their Services. To address these issues, this paper proposes IoT Service dependency tree (SDT) validation scheme. SDT uses Service dependency trees and dependency signature trees, which enable clients to validate the original sources of a virtual IoT Service, verify its Service dependency relationships, and have original Service sources to be constantly notified of the list of entities (recursively) virtualizing their Services. This paper explains SDT scheme and presents use cases for IoT Service Virtualization where SDT can be applied. Our experimental analysis shows that SDT is scalable for practical use.

Ivona Brandic - One of the best experts on this subject based on the ideXlab platform.

  • an interoperable and self adaptive approach for sla based Service Virtualization in heterogeneous cloud environments
    Future Generation Computer Systems, 2014
    Co-Authors: Attila Kertesz, Gabor Kecskemeti, Ivona Brandic
    Abstract:

    Cloud computing is a newly emerged computing infrastructure that builds on the latest achievements of diverse research areas, such as Grid computing, Service-oriented computing, business process management and Virtualization. An important characteristic of Cloud-based Services is the provision of non-functional guarantees in the form of Service Level Agreements (SLAs), such as guarantees on execution time or price. However, due to system malfunctions, changing workload conditions, hard- and software failures, established SLAs can be violated. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are needed. In this paper we present a self-manageable architecture for SLA-based Service Virtualization that provides a way to ease interoperable Service executions in a diverse, heterogeneous, distributed and virtualized world of Services. We demonstrate in this paper that the combination of negotiation, brokering and deployment using SLA-aware extensions and autonomic computing principles are required for achieving reliable and efficient Service operation in distributed environments. ? Heterogeneous Cloud environments need business-oriented autonomic Service executions. ? A novel approach called Service-level agreement-based Service Virtualization. ? Built on three areas: agreement negotiation, brokering and Service deployment. ? Principles of autonomic computing are used to cope with failures in Clouds. ? Validated in a simulation environment using a biochemical application.

  • autonomic sla aware Service Virtualization for distributed systems
    Parallel Distributed and Network-Based Processing, 2011
    Co-Authors: Attila Kertesz, Gabor Kecskemeti, Ivona Brandic
    Abstract:

    Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and Virtualization. Managing such heterogeneous environments requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an SLA-aware Service Virtualization architecture that provides non-functional guarantees in the form of Service Level Agreements and consists of a three-layered infrastructure including agreement negotiation, Service brokering and on demand deployment. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are used with a failure propagation approach. We demonstrate the advantages of our proposed solution with a biochemical case study in a Cloud simulation environment.

Hajoon Ko - One of the best experts on this subject based on the ideXlab platform.

  • Secure Service Virtualization in IoT by Dynamic Service Dependency Verification
    IEEE Internet of Things Journal, 2016
    Co-Authors: Hajoon Ko, Sye Loong Keoh
    Abstract:

    Virtualizing Internet-of-Things (IoT) Services is a concept of dynamically building customized high-level IoT Services that rely on the real-time data streams flowing from low-level standalone IoT devices. IoT Service Virtualization is essential when a myriads of IoT devices can get online, interact with each other, exchange data, and based on them create one's own Service. Especially, when Virtualization occurs across multiple externals domains, it is crucial for clients to verify the source of virtual Services, i.e., whether they are built based on authentic original Service sources. Also, original Services' sources must be constantly aware of the identity of entities who (recursively) virtualize their Services. To address these issues, this paper proposes IoT Service dependency tree (SDT) validation scheme. SDT uses Service dependency trees and dependency signature trees, which enable clients to validate the original sources of a virtual IoT Service, verify its Service dependency relationships, and have original Service sources to be constantly notified of the list of entities (recursively) virtualizing their Services. This paper explains SDT scheme and presents use cases for IoT Service Virtualization where SDT can be applied. Our experimental analysis shows that SDT is scalable for practical use.

Attila Kertesz - One of the best experts on this subject based on the ideXlab platform.

  • an interoperable and self adaptive approach for sla based Service Virtualization in heterogeneous cloud environments
    Future Generation Computer Systems, 2014
    Co-Authors: Attila Kertesz, Gabor Kecskemeti, Ivona Brandic
    Abstract:

    Cloud computing is a newly emerged computing infrastructure that builds on the latest achievements of diverse research areas, such as Grid computing, Service-oriented computing, business process management and Virtualization. An important characteristic of Cloud-based Services is the provision of non-functional guarantees in the form of Service Level Agreements (SLAs), such as guarantees on execution time or price. However, due to system malfunctions, changing workload conditions, hard- and software failures, established SLAs can be violated. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are needed. In this paper we present a self-manageable architecture for SLA-based Service Virtualization that provides a way to ease interoperable Service executions in a diverse, heterogeneous, distributed and virtualized world of Services. We demonstrate in this paper that the combination of negotiation, brokering and deployment using SLA-aware extensions and autonomic computing principles are required for achieving reliable and efficient Service operation in distributed environments. ? Heterogeneous Cloud environments need business-oriented autonomic Service executions. ? A novel approach called Service-level agreement-based Service Virtualization. ? Built on three areas: agreement negotiation, brokering and Service deployment. ? Principles of autonomic computing are used to cope with failures in Clouds. ? Validated in a simulation environment using a biochemical application.

  • autonomic sla aware Service Virtualization for distributed systems
    Parallel Distributed and Network-Based Processing, 2011
    Co-Authors: Attila Kertesz, Gabor Kecskemeti, Ivona Brandic
    Abstract:

    Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and Virtualization. Managing such heterogeneous environments requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an SLA-aware Service Virtualization architecture that provides non-functional guarantees in the form of Service Level Agreements and consists of a three-layered infrastructure including agreement negotiation, Service brokering and on demand deployment. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are used with a failure propagation approach. We demonstrate the advantages of our proposed solution with a biochemical case study in a Cloud simulation environment.

Gabor Kecskemeti - One of the best experts on this subject based on the ideXlab platform.

  • an interoperable and self adaptive approach for sla based Service Virtualization in heterogeneous cloud environments
    Future Generation Computer Systems, 2014
    Co-Authors: Attila Kertesz, Gabor Kecskemeti, Ivona Brandic
    Abstract:

    Cloud computing is a newly emerged computing infrastructure that builds on the latest achievements of diverse research areas, such as Grid computing, Service-oriented computing, business process management and Virtualization. An important characteristic of Cloud-based Services is the provision of non-functional guarantees in the form of Service Level Agreements (SLAs), such as guarantees on execution time or price. However, due to system malfunctions, changing workload conditions, hard- and software failures, established SLAs can be violated. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are needed. In this paper we present a self-manageable architecture for SLA-based Service Virtualization that provides a way to ease interoperable Service executions in a diverse, heterogeneous, distributed and virtualized world of Services. We demonstrate in this paper that the combination of negotiation, brokering and deployment using SLA-aware extensions and autonomic computing principles are required for achieving reliable and efficient Service operation in distributed environments. ? Heterogeneous Cloud environments need business-oriented autonomic Service executions. ? A novel approach called Service-level agreement-based Service Virtualization. ? Built on three areas: agreement negotiation, brokering and Service deployment. ? Principles of autonomic computing are used to cope with failures in Clouds. ? Validated in a simulation environment using a biochemical application.

  • autonomic sla aware Service Virtualization for distributed systems
    Parallel Distributed and Network-Based Processing, 2011
    Co-Authors: Attila Kertesz, Gabor Kecskemeti, Ivona Brandic
    Abstract:

    Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and Virtualization. Managing such heterogeneous environments requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an SLA-aware Service Virtualization architecture that provides non-functional guarantees in the form of Service Level Agreements and consists of a three-layered infrastructure including agreement negotiation, Service brokering and on demand deployment. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are used with a failure propagation approach. We demonstrate the advantages of our proposed solution with a biochemical case study in a Cloud simulation environment.