The Experts below are selected from a list of 66 Experts worldwide ranked by ideXlab platform
Alina Madalina Popescu - One of the best experts on this subject based on the ideXlab platform.
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Automated Instantiation of Heterogeneous Fast Flow CPU/GPU Parallel Pattern Applications in Clouds
2014 22nd Euromicro International Conference on Parallel Distributed and Network-Based Processing, 2014Co-Authors: Suresh Boob, Horacio González-vélez, Alina Madalina PopescuAbstract:Parallel scientific workloads typically entail highly-customised software environments, involving complex data structures, specialised systems software, and even distinct hardware, where virtualisation is not necessarily supported by third-party providers. Considering the expansion of cloud computing in different domains and the development of different proprietary (e.g. Amazon Web Services, Azure) and open source cloud platforms (Eucalyptus, openStack, openNebula), users should arguably be able to automatically and seamlessly migrate their parallel workloads across cloud platforms using standardised virtual machines. However, even if it is easier to migrate the workload between nodes when the nodes have a similar configuration on the same platform, the transition between different platforms typically raises different issues such as vendor lock-in, portability, and interoperability. In this paper, we describe our work to automatically deploy a complex parallel software stack on heterogeneous hybrid cloud platforms. We have elastically deployed FastFlow - a C/C++ pattern-based programming framework for multi-/many-core and distributed platforms -- using virtual machines on both CPU and GPU-based architectures between heterogeneous virtualised platforms. Our approach relies on the standard open virtualization format (OVF) in order to achieve a universal description of virtual appliances. Such a description is not only useful for elastically migrating and deploying, but also to determine the hardware/system software configuration needed switching to any new (cloud) image format. We have successfully evaluated our work using virtual machines based on VirtualBox and Amazon Web Services on local cluster and public cloud providers.
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PDP - Automated Instantiation of Heterogeneous Fast Flow CPU/GPU Parallel Pattern Applications in Clouds
2014 22nd Euromicro International Conference on Parallel Distributed and Network-Based Processing, 2014Co-Authors: Suresh Boob, Horacio González-vélez, Alina Madalina PopescuAbstract:Parallel scientific workloads typically entail highly-customised software environments, involving complex data structures, specialised systems software, and even distinct hardware, where virtualisation is not necessarily supported by third-party providers. Considering the expansion of cloud computing in different domains and the development of different proprietary (e.g. Amazon Web Services, Azure) and open source cloud platforms (Eucalyptus, openStack, openNebula), users should arguably be able to automatically and seamlessly migrate their parallel workloads across cloud platforms using standardised virtual machines. However, even if it is easier to migrate the workload between nodes when the nodes have a similar configuration on the same platform, the transition between different platforms typically raises different issues such as vendor lock-in, portability, and interoperability. In this paper, we describe our work to automatically deploy a complex parallel software stack on heterogeneous hybrid cloud platforms. We have elastically deployed FastFlow - a C/C++ pattern-based programming framework for multi-/many-core and distributed platforms -- using virtual machines on both CPU and GPU-based architectures between heterogeneous virtualised platforms. Our approach relies on the standard open virtualization format (OVF) in order to achieve a universal description of virtual appliances. Such a description is not only useful for elastically migrating and deploying, but also to determine the hardware/system software configuration needed switching to any new (cloud) image format. We have successfully evaluated our work using virtual machines based on VirtualBox and Amazon Web Services on local cluster and public cloud providers.
Marc Planagumà - One of the best experts on this subject based on the ideXlab platform.
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Towards secure and at-runtime tailorable customer-driven public cloud deployment
2012 IEEE International Conference on Pervasive Computing and Communications Workshops PERCOM Workshops 2012, 2012Co-Authors: Fatih Karatas, R. Giménez, Widura Schwittek, Mohamed Bourimi, Thomas Barth, Dogan Kesdogan, Marc PlanagumàAbstract:Cloud computing as a facility for outsourcing IT related tasks is a growing trend. Customer-driven application deployment in public clouds has to be secure and flexible by means of easing security configuration as well as by avoiding the vendor lock-in problem. In this paper we present an approach intending to meet these needs by (1) easing security configuration(s), (2) automating the consideration of security best practices and adding/enabling anonymity components at-runtime, and (3) by using open virtualization format (OVF) in order to overcome the vendor lock-in problem. The requirements gathering is based on the needs of three projects from different business domains, the EU FP7 digital.me project, the multidisciplinary iFishWatcher/iAngle combined project and the joint german-french research and development project ReSCUe IT. All projects require empowering lay as well as experienced customers to (re-)deploy their own applications and migrate them easily by considering security thereby. Supporting tailorability of the deployed environment by adding anonymity components at-runtime without downtimes is a specific requirement in these projects. We present first results and discuss experiences and future work directions.
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PerCom Workshops - Towards secure and at-runtime tailorable customer-driven public cloud deployment
2012 IEEE International Conference on Pervasive Computing and Communications Workshops, 2012Co-Authors: Fatih Karatas, R. Giménez, Widura Schwittek, Mohamed Bourimi, Thomas Barth, Dogan Kesdogan, Marc PlanagumàAbstract:Cloud computing as a facility for outsourcing IT related tasks is a growing trend. Customer-driven application deployment in public clouds has to be secure and flexible by means of easing security configuration as well as by avoiding the vendor lock-in problem. In this paper we present an approach intending to meet these needs by (1) easing security configuration(s), (2) automating the consideration of security best practices and adding/enabling anonymity components at-runtime, and (3) by using open virtualization format (OVF) in order to overcome the vendor lock-in problem. The requirements gathering is based on the needs of three projects from different business domains, the EU FP7 digital.me project, the multidisciplinary iFishWatcher/iAngle combined project and the joint german-french research and development project ReSCUe IT. All projects require empowering lay as well as experienced customers to (re-)deploy their own applications and migrate them easily by considering security thereby. Supporting tailorability of the deployed environment by adding anonymity components at-runtime without downtimes is a specific requirement in these projects. We present first results and discuss experiences and future work directions.
Amiya Nayak - One of the best experts on this subject based on the ideXlab platform.
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policy management leveraging the open virtualization format with contract and solution models
IEEE Network, 2012Co-Authors: M Jeyakantha, Amiya NayakAbstract:Over the past decade, virtualization technology has taken the world over by storm. This explosion has led the industry to market already existing virtualization technology, also known as infrastructure as a service, with the buzz word cloud computing. There has been much promise for return on investment, leading to significant research and a myriad of innovations in this domain. Despite the best efforts of industry leaders, there are still challenges with respect to enterprise security and policy management. In this article, we present the fundamentals of machine virtualization and simple network virtualization. We then provide a brief overview of network policy management throughout the evolution of virtualization. We then segue into current industry trends and some of its novel innovations. Throughout the article we discuss the challenges with respect to policy management. We finalize by analyzing existing solutions and building on them and those of the Distributed Management Task Force.
Suresh Boob - One of the best experts on this subject based on the ideXlab platform.
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Automated Instantiation of Heterogeneous Fast Flow CPU/GPU Parallel Pattern Applications in Clouds
2014 22nd Euromicro International Conference on Parallel Distributed and Network-Based Processing, 2014Co-Authors: Suresh Boob, Horacio González-vélez, Alina Madalina PopescuAbstract:Parallel scientific workloads typically entail highly-customised software environments, involving complex data structures, specialised systems software, and even distinct hardware, where virtualisation is not necessarily supported by third-party providers. Considering the expansion of cloud computing in different domains and the development of different proprietary (e.g. Amazon Web Services, Azure) and open source cloud platforms (Eucalyptus, openStack, openNebula), users should arguably be able to automatically and seamlessly migrate their parallel workloads across cloud platforms using standardised virtual machines. However, even if it is easier to migrate the workload between nodes when the nodes have a similar configuration on the same platform, the transition between different platforms typically raises different issues such as vendor lock-in, portability, and interoperability. In this paper, we describe our work to automatically deploy a complex parallel software stack on heterogeneous hybrid cloud platforms. We have elastically deployed FastFlow - a C/C++ pattern-based programming framework for multi-/many-core and distributed platforms -- using virtual machines on both CPU and GPU-based architectures between heterogeneous virtualised platforms. Our approach relies on the standard open virtualization format (OVF) in order to achieve a universal description of virtual appliances. Such a description is not only useful for elastically migrating and deploying, but also to determine the hardware/system software configuration needed switching to any new (cloud) image format. We have successfully evaluated our work using virtual machines based on VirtualBox and Amazon Web Services on local cluster and public cloud providers.
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PDP - Automated Instantiation of Heterogeneous Fast Flow CPU/GPU Parallel Pattern Applications in Clouds
2014 22nd Euromicro International Conference on Parallel Distributed and Network-Based Processing, 2014Co-Authors: Suresh Boob, Horacio González-vélez, Alina Madalina PopescuAbstract:Parallel scientific workloads typically entail highly-customised software environments, involving complex data structures, specialised systems software, and even distinct hardware, where virtualisation is not necessarily supported by third-party providers. Considering the expansion of cloud computing in different domains and the development of different proprietary (e.g. Amazon Web Services, Azure) and open source cloud platforms (Eucalyptus, openStack, openNebula), users should arguably be able to automatically and seamlessly migrate their parallel workloads across cloud platforms using standardised virtual machines. However, even if it is easier to migrate the workload between nodes when the nodes have a similar configuration on the same platform, the transition between different platforms typically raises different issues such as vendor lock-in, portability, and interoperability. In this paper, we describe our work to automatically deploy a complex parallel software stack on heterogeneous hybrid cloud platforms. We have elastically deployed FastFlow - a C/C++ pattern-based programming framework for multi-/many-core and distributed platforms -- using virtual machines on both CPU and GPU-based architectures between heterogeneous virtualised platforms. Our approach relies on the standard open virtualization format (OVF) in order to achieve a universal description of virtual appliances. Such a description is not only useful for elastically migrating and deploying, but also to determine the hardware/system software configuration needed switching to any new (cloud) image format. We have successfully evaluated our work using virtual machines based on VirtualBox and Amazon Web Services on local cluster and public cloud providers.
Marco Distefano - One of the best experts on this subject based on the ideXlab platform.
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An OVF Toolkit Supporting Inter-Cloud Application Splitting
2016Co-Authors: Gaetano F. Anastasi, Emanuele Carlini, Patrizio Dazzi, Marco DistefanoAbstract:Abstract—The open virtualization format (OVF) is a software packaging standard designed to support the portability and deployment of applications in different virtualization platforms. Ease interoperability and portability among cloud providers is of paramount importance to mitigate vendor lock-in and fostering cooperation among different cloud technologies. To this end, the researcher community is spending a lot of effort in investigating cloud broker and cloud federation solutions. However, we feel that the community still misses an open-source reference tool for the management of these operations when it comes to the OVF standard. With the aim to fill this gap, we propose the OVF Toolkit, an open tool to parse, render, and split OVF files. This paper describes the principal design decisions, the implementation, and the capabilities of the toolkit, as well as its experimental evaluation
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CLOUDNET - An OVF toolkit supporting Inter-Cloud application splitting
2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), 2014Co-Authors: Gaetano F. Anastasi, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Marco DistefanoAbstract:The open virtualization format (OVF) is a software packaging standard designed to support the portability and deployment of applications in different virtualization platforms. Ease interoperability and portability among cloud providers is of paramount importance to mitigate vendor lock-in and fostering cooperation among different cloud technologies. To this end, the researcher community is spending a lot of effort in investigating cloud broker and cloud federation solutions. However, we feel that the community still misses an open-source reference tool for the management of these operations when it comes to the OVF standard. With the aim to fill this gap, we propose the OVF Toolkit, an open tool to parse, render, and split OVF files. This paper describes the principal design decisions, the implementation, and the capabilities of the toolkit, as well as its experimental evaluation. Keywords-Cloud Computing, Utility programs, Software li- braries, open virtualization format.
