The Experts below are selected from a list of 105 Experts worldwide ranked by ideXlab platform
Jordi Mongay Batalla - One of the best experts on this subject based on the ideXlab platform.
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a fluctuation based modelling approach to quantification of the technical debt on mobile cloud based service level
Global Communications Conference, 2015Co-Authors: Georgios Skourletopoulos, Constandinos X Mavromoustakis, George Mastorakis, Joel J P C Rodrigues, Periklis Chatzimisios, Jordi Mongay BatallaAbstract:Enterprise mobility has become a top Technology Priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.
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GLOBECOM Workshops - A Fluctuation-Based Modelling Approach to Quantification of the Technical Debt on Mobile Cloud-Based Service Level
2015 IEEE Globecom Workshops (GC Wkshps), 2015Co-Authors: Georgios Skourletopoulos, Constandinos X Mavromoustakis, George Mastorakis, Joel J P C Rodrigues, Periklis Chatzimisios, Jordi Mongay BatallaAbstract:Enterprise mobility has become a top Technology Priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.
Said M.a. Ibrahim - One of the best experts on this subject based on the ideXlab platform.
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The science and Technology Priority areas relevant to non-conventional energy goals in Egypt
International Journal of Energy Research, 1996Co-Authors: Said M.a. IbrahimAbstract:A matrix method is used for the quantitative determination of science and Technology Priority areas relevant to the achievement of nonconventional energy goals in Egypt. Nonconventional energy goals of Egypt up to 2005 were first determined. Those nonconventional energy objectives are then related to different areas of science and Technology in a Priority order. This is accomplished by filling three matrices: (1) a D/D matrix which displays the interconnections between energy objectives, (2) an S/D matrix which describes the relevance of science and Technology to objectives, and (3) an S/S matrix which displays the interconnections between scientific and technological disciplines. Cross-support, dependence and relevance indices enabled the construction of Priority and cross-support charts. The method is useful and reveals many interesting results which are thoroughly discussed and analysed.
Georgios Skourletopoulos - One of the best experts on this subject based on the ideXlab platform.
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a fluctuation based modelling approach to quantification of the technical debt on mobile cloud based service level
Global Communications Conference, 2015Co-Authors: Georgios Skourletopoulos, Constandinos X Mavromoustakis, George Mastorakis, Joel J P C Rodrigues, Periklis Chatzimisios, Jordi Mongay BatallaAbstract:Enterprise mobility has become a top Technology Priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.
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GLOBECOM Workshops - A Fluctuation-Based Modelling Approach to Quantification of the Technical Debt on Mobile Cloud-Based Service Level
2015 IEEE Globecom Workshops (GC Wkshps), 2015Co-Authors: Georgios Skourletopoulos, Constandinos X Mavromoustakis, George Mastorakis, Joel J P C Rodrigues, Periklis Chatzimisios, Jordi Mongay BatallaAbstract:Enterprise mobility has become a top Technology Priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.
Liliana Proskuryakova - One of the best experts on this subject based on the ideXlab platform.
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Foresight for the 'energy' Priority of the Russian Science and Technology Strategy
Energy Strategy Reviews, 2019Co-Authors: Liliana ProskuryakovaAbstract:Abstract National science and Technology Priority-setting has been an important and regular exercise performed by developed and many developing countries. This is very relevant for the conservative energy industry with long investment cycles. The future of energy is shaped by today's investments in research and development. The Strategy for Science and Technology Development of the Russian Federation (2016) features seven priorities, one of which is related to “the transition to environmentally friendly and resource-saving energy industry”. The paper describes the foresight study of this energy Priority that was launched to identify the focus of related future comprehensive science and Technology funding programs. The design, methods and outcomes of this study that frame the future science and Technology development in Russia's energy industry are discussed together with research and policy implications.
George Mastorakis - One of the best experts on this subject based on the ideXlab platform.
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a fluctuation based modelling approach to quantification of the technical debt on mobile cloud based service level
Global Communications Conference, 2015Co-Authors: Georgios Skourletopoulos, Constandinos X Mavromoustakis, George Mastorakis, Joel J P C Rodrigues, Periklis Chatzimisios, Jordi Mongay BatallaAbstract:Enterprise mobility has become a top Technology Priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.
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GLOBECOM Workshops - A Fluctuation-Based Modelling Approach to Quantification of the Technical Debt on Mobile Cloud-Based Service Level
2015 IEEE Globecom Workshops (GC Wkshps), 2015Co-Authors: Georgios Skourletopoulos, Constandinos X Mavromoustakis, George Mastorakis, Joel J P C Rodrigues, Periklis Chatzimisios, Jordi Mongay BatallaAbstract:Enterprise mobility has become a top Technology Priority for companies over recent years and many organizations are accelerating the adoption of mobile cloud application models. The mobile cloud can be considered as a marketplace, where the mobile services of the mobile cloud-based system architectures can be leased off via the cloud. In this context, this paper elaborates on a novel fluctuation-based quantification model, which is based on a cost-benefit appraisal, adopting a non- linear and asymmetric approach. The proposed model aims to predict the incurrence and the risk of entering into a new technical debt (TD) in the future and provide insights to inform effective investment decision making. The lease of a cloud- based mobile service was considered, when developing the formula, and the research approach is investigated with respect to the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is examined, as fluctuations in the number of users are forecasted. A quantification tool has been also developed as a proof of concept, implementing the proposed model and intending to quantify and evaluate the technical debt on mobile cloud-based service level, when fluctuations in the demand occur.
