The Experts below are selected from a list of 5655 Experts worldwide ranked by ideXlab platform
Fanny Kwok - One of the best experts on this subject based on the ideXlab platform.
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UCC - Cloud Deployment Model Selection Assessment for SMEs: Renting or Buying a Cloud
2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012Co-Authors: Jacky Keung, Fanny KwokAbstract:Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under the pay-per-use Model offered by many public cloud providers. But there are concerns when selecting between the private cloud and the public cloud that must be taken into account. Many SME enterprises with scarce in-house IT support and limited knowledge about different cloud technologies encounter difficulties in making the most appropriate choice on 'buying' a private cloud or 'renting' a public cloud service. Through a number of interviews with potential cloud adopters from the industry, this paper identifies the most relevant factors concerning cloud adoption and develops a cloud Deployment Model assessment method called Cloud Deployment Selection Model (CDSM). The Model has been validated in real case studies, and recommendations derived have been compared with real adoption cases. Result shows it is able to accurately recommend a suitable cloud Deployment Model based on the factors identified from many SME organizations, an important tool for SMEs to decide between the private or the public cloud solution.
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Cloud Deployment Model selection assessment for SMEs: Renting or buying a cloud
Proceedings - 2012 IEEE ACM 5th International Conference on Utility and Cloud Computing UCC 2012, 2012Co-Authors: Jacky Keung, Fanny KwokAbstract:Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under ...
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Cloud Deployment Model Selection Assessment for SMEs: Renting or Buying a Cloud
2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012Co-Authors: Jacky Keung, Fanny KwokAbstract:Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under the pay-per-use Model offered by many public cloud providers. But there are concerns when selecting between the private cloud and the public cloud that must be taken into account. Many SME enterprises with scarce in-house IT support and limited knowledge about different cloud technologies encounter difficulties in making the most appropriate choice on 'buying' a private cloud or 'renting' a public cloud service. Through a number of interviews with potential cloud adopters from the industry, this paper identifies the most relevant factors concerning cloud adoption and develops a cloud Deployment Model assessment method called Cloud Deployment Selection Model (CDSM). The Model has been validated in real case studies, and recommendations derived have been compared with real adoption cases. Result shows it is able to accurately recommend a suitable cloud Deployment Model based on the factors identified from many SME organizations, an important tool for SMEs to decide between the private or the public cloud solution.
Jacky Keung - One of the best experts on this subject based on the ideXlab platform.
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UCC - Cloud Deployment Model Selection Assessment for SMEs: Renting or Buying a Cloud
2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012Co-Authors: Jacky Keung, Fanny KwokAbstract:Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under the pay-per-use Model offered by many public cloud providers. But there are concerns when selecting between the private cloud and the public cloud that must be taken into account. Many SME enterprises with scarce in-house IT support and limited knowledge about different cloud technologies encounter difficulties in making the most appropriate choice on 'buying' a private cloud or 'renting' a public cloud service. Through a number of interviews with potential cloud adopters from the industry, this paper identifies the most relevant factors concerning cloud adoption and develops a cloud Deployment Model assessment method called Cloud Deployment Selection Model (CDSM). The Model has been validated in real case studies, and recommendations derived have been compared with real adoption cases. Result shows it is able to accurately recommend a suitable cloud Deployment Model based on the factors identified from many SME organizations, an important tool for SMEs to decide between the private or the public cloud solution.
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Cloud Deployment Model selection assessment for SMEs: Renting or buying a cloud
Proceedings - 2012 IEEE ACM 5th International Conference on Utility and Cloud Computing UCC 2012, 2012Co-Authors: Jacky Keung, Fanny KwokAbstract:Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under ...
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Cloud Deployment Model Selection Assessment for SMEs: Renting or Buying a Cloud
2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012Co-Authors: Jacky Keung, Fanny KwokAbstract:Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under the pay-per-use Model offered by many public cloud providers. But there are concerns when selecting between the private cloud and the public cloud that must be taken into account. Many SME enterprises with scarce in-house IT support and limited knowledge about different cloud technologies encounter difficulties in making the most appropriate choice on 'buying' a private cloud or 'renting' a public cloud service. Through a number of interviews with potential cloud adopters from the industry, this paper identifies the most relevant factors concerning cloud adoption and develops a cloud Deployment Model assessment method called Cloud Deployment Selection Model (CDSM). The Model has been validated in real case studies, and recommendations derived have been compared with real adoption cases. Result shows it is able to accurately recommend a suitable cloud Deployment Model based on the factors identified from many SME organizations, an important tool for SMEs to decide between the private or the public cloud solution.
Stephanos Gritzalis - One of the best experts on this subject based on the ideXlab platform.
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Assurance of Security and Privacy Requirements for Cloud Deployment Model
IEEE Transactions on Cloud Computing, 2015Co-Authors: Shareeful Islam, Haralambos Mouratidis, Moussa Ouedraogo, Christos Kalloniatis, Stephanos GritzalisAbstract:Despite of the several benefits of migrating enterprise critical assets to the Cloud, there are challenges specifically related to security and privacy. It is important that Cloud Users understand their security and privacy needs, based on their specific context and select cloud Model best fit to support these needs. The literature provides works that focus on discussing security and privacy issues for cloud systems but such works do not provide a detailed methodological approach to elicit security and privacy requirements neither methods to select cloud Deployment Models based on satisfaction of these requirements by Cloud Service Providers. This work advances the current state of the art towards this direction. In particular, we consider requirements engineering concepts to elicit and analyze security and privacy requirements and their associated mechanisms using a conceptual framework and a systematic process. The work introduces assurance as evidence for satisfying the security and privacy requirements in terms of completeness and reportable of security incident through audit. This allows perspective cloud users to define their assurance requirements so that appropriate cloud Models can be selected for a given context. To demonstrate our work, we present results from a real case study based on the Greek National Gazette.
Gerald Lichtenegger - One of the best experts on this subject based on the ideXlab platform.
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SSRR - Request a rescue robot — Deployment Model for assistant robots for responder
2016 IEEE International Symposium on Safety Security and Rescue Robotics (SSRR), 2016Co-Authors: Johannes Maure, Gerald Steinbauer, Gerald LichteneggerAbstract:Although robot technology to assist responder had became mature, it has not yet reached a broad basis of Deployment in daily missions. The reasons for this gap are manifold such as a lack of clear regulations or trained personnel. In this paper we present an approach based on system engineering to obtain sustainable and realizable Deployment Models for robot technology in disaster response. We present a systematic analysis of the underlying situation and constraints that origin from technology, law or mission procedure. Moreover, we provide a founded systematic generation and evaluation of possible Deployment Models for robot technology. Finally, we present promising Deployment Models that had been selected for realization.
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Request a rescue robot — Deployment Model for assistant robots for responder
2016 IEEE International Symposium on Safety Security and Rescue Robotics (SSRR), 2016Co-Authors: Johannes Maure, Gerald Steinbauer, Gerald LichteneggerAbstract:Although robot technology to assist responder had became mature, it has not yet reached a broad basis of Deployment in daily missions. The reasons for this gap are manifold such as a lack of clear regulations or trained personnel. In this paper we present an approach based on system engineering to obtain sustainable and realizable Deployment Models for robot technology in disaster response. We present a systematic analysis of the underlying situation and constraints that origin from technology, law or mission procedure. Moreover, we provide a founded systematic generation and evaluation of possible Deployment Models for robot technology. Finally, we present promising Deployment Models that had been selected for realization.
Noëmie Simoni - One of the best experts on this subject based on the ideXlab platform.
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CNSM - On-demand, dynamic and at-the-edge VNF Deployment Model application to Web Real-Time Communications
2016 12th International Conference on Network and Service Management (CNSM), 2016Co-Authors: Amina Boubendir, Emmanuel Bertin, Noëmie SimoniAbstract:In the context of Network-as-a-Service (NaaS) for network operators openness towards Over-The-Top (OTTs) players, we propose an “On-demand and Dynamic Deployment Model for Virtual Network Functions (VNFs)”. We consider both, Telco's needs for more dynamicity in network service delivery, and OTTs' needs for network functions that support requirements of applications at the network-level. In order to allow third-party applications to request Deployment of VNFs for specific needs, the proposed Deployment Model is based on an exposition approach that uses Network APIs over Network Functions Virtualization (NFV) Management and Orchestration modules. To illustrate the proposed Model, we focus on Web Real-Time Communications (WebRTC). WebRTC applications are versatile and have strong needs for network functions which makes them a relevant use-case. We have implemented the proposed approach on OPNFV platform. We exploit the “at-the-edge” feature and location-awareness to respect the time-sensitivity and QoS constraints of WebRTC communications. For faster VNF instantiation, we rely on container-based virtualization (Docker containers). Finally, we perform experiments and evaluate the advantages of this Model comparing to legacy and alternative approaches.
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On-demand, dynamic and at-the-edge VNF Deployment Model application to Web Real-Time Communications
2016 12th International Conference on Network and Service Management (CNSM), 2016Co-Authors: Amina Boubendir, Emmanuel Bertin, Noëmie SimoniAbstract:In the context of Network-as-a-Service (NaaS) for network operators openness towards Over-The-Top (OTTs) players, we propose an “On-demand and Dynamic Deployment Model for Virtual Network Functions (VNFs)”. We consider both, Telco's needs for more dynamicity in network service delivery, and OTTs' needs for network functions that support requirements of applications at the network-level. In order to allow third-party applications to request Deployment of VNFs for specific needs, the proposed Deployment Model is based on an exposition approach that uses Network APIs over Network Functions Virtualization (NFV) Management and Orchestration modules. To illustrate the proposed Model, we focus on Web Real-Time Communications (WebRTC). WebRTC applications are versatile and have strong needs for network functions which makes them a relevant use-case. We have implemented the proposed approach on OPNFV platform. We exploit the “at-the-edge” feature and location-awareness to respect the time-sensitivity and QoS constraints of WebRTC communications. For faster VNF instantiation, we rely on container-based virtualization (Docker containers). Finally, we perform experiments and evaluate the advantages of this Model comparing to legacy and alternative approaches.
