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2022 ◽  
Vol 25 (1) ◽  
pp. 1-37
Stefano Berlato ◽  
Roberto Carbone ◽  
Adam J. Lee ◽  
Silvio Ranise

To facilitate the adoption of cloud by organizations, Cryptographic Access Control (CAC) is the obvious solution to control data sharing among users while preventing partially trusted Cloud Service Providers (CSP) from accessing sensitive data. Indeed, several CAC schemes have been proposed in the literature. Despite their differences, available solutions are based on a common set of entities—e.g., a data storage service or a proxy mediating the access of users to encrypted data—that operate in different (security) domains—e.g., on-premise or the CSP. However, the majority of these CAC schemes assumes a fixed assignment of entities to domains; this has security and usability implications that are not made explicit and can make inappropriate the use of a CAC scheme in certain scenarios with specific trust assumptions and requirements. For instance, assuming that the proxy runs at the premises of the organization avoids the vendor lock-in effect but may give rise to other security concerns (e.g., malicious insiders attackers). To the best of our knowledge, no previous work considers how to select the best possible architecture (i.e., the assignment of entities to domains) to deploy a CAC scheme for the trust assumptions and requirements of a given scenario. In this article, we propose a methodology to assist administrators in exploring different architectures for the enforcement of CAC schemes in a given scenario. We do this by identifying the possible architectures underlying the CAC schemes available in the literature and formalizing them in simple set theory. This allows us to reduce the problem of selecting the most suitable architectures satisfying a heterogeneous set of trust assumptions and requirements arising from the considered scenario to a decidable Multi-objective Combinatorial Optimization Problem (MOCOP) for which state-of-the-art solvers can be invoked. Finally, we show how we use the capability of solving the MOCOP to build a prototype tool assisting administrators to preliminarily perform a “What-if” analysis to explore the trade-offs among the various architectures and then use available standards and tools (such as TOSCA and Cloudify) for automated deployment in multiple CSPs.

2022 ◽  
Vol 164 ◽  
pp. 108235
A.J. Molina-Viedma ◽  
L. Felipe-Sesé ◽  
E. López-Alba ◽  
F.A. Díaz

Dr. Baneshwar Kapasi ◽  
Miss. Saroj Mahato

The National Pension Scheme (NPS) is a defined contribution and a corporate pension fund that provides financial assistance to all Indian citizens. There are two types of accounts in the National Pension Scheme: Tier I and Tier II. Tier I is a mandatory deposit pension fund account and Tier II is a voluntary pension account. Tier I and Tier II is are consisted of different assets namely, equity, government security and alternative asset. The equity schemes are directly linked with the market. The return of all the fund managers in equity schemes are not same as the portfolio of all the fund managers are not same. Secondary data has been collected from respective websites of Pension Fund Managers and has been used to calculate mean, SD, Variance, and Correlation to predict the performance of equity funds. ANOVA and T-test have been for assessing the comparative analysis of the different fund managers under equity scheme in tier II. As per the study, LIC PF and ICICI PF are the best performer during the study period. The performance of SBI PF is poor among other equity funds under Tier-II of NPS during the study period. In term of risk, LIC PF is the higher risky equity fund and UIT PF is the lowest risky equity fund under Tier-II of NPS. It can be said that investors need to be high-risk taker to invest in that LIC PF. Through the risk analysis during said period of time, it is found that the ability to observe risk differs in equity funds under Tier-II of NPS. The main reason for this being a voluntary account of Tier -II. As there is no lock-in period in this account, the investors mostly use for a short-term purpose. In the recent decision of the government, Tier-II offers a lock-in period for 3 years with tax benefit. This decision may be affected the investment pattern of the investors. KEY WORDS: - National Pension Scheme, Performance, Equity Scheme, Nifty 50

2022 ◽  
Vol 934 ◽  
Yin Lu Young ◽  
Jasmine C. Chang ◽  
Samuel M. Smith ◽  
James A. Venning ◽  
Bryce W. Pearce ◽  

Experimental studies of the influence of fluid–structure interaction on cloud cavitation about a stiff stainless steel (SS) and a flexible composite (CF) hydrofoil have been presented in Parts I (Smith et al., J. Fluid Mech., vol. 896, 2020a, p. A1) and II (Smith et al., J. Fluid Mech., vol. 897, 2020b, p. A28). This work further analyses the data and complements the measurements with reduced-order model predictions to explain the complex response. A two degrees-of-freedom steady-state model is used to explain why the tip bending and twisting deformations are much higher for the CF hydrofoil, while the hydrodynamic load coefficients are very similar. A one degree-of-freedom dynamic model, which considers the spanwise bending deflection only, is used to capture the dynamic response of both hydrofoils. Peaks in the frequency response spectrum are observed at the re-entrant jet-driven and shock-wave-driven cavity shedding frequencies, system bending frequency and heterodyne frequencies caused by the mixing of the two cavity shedding frequencies. The predictions capture the increase of the mean system bending frequency and wider bandwidth of frequency modulation with decreasing cavitation number. The results show that, in general, the amplitude of the deformation fluctuation is higher, but the amplitude of the load fluctuation is lower for the CF hydrofoil compared with the SS hydrofoil. Significant dynamic load amplification is observed at subharmonic lock-in when the shock-wave-driven cavity shedding frequency matches with the nearest subharmonic of the system bending frequency of the CF hydrofoil. Both measurements and predictions show an absence of dynamic load amplification at primary lock-in because of the low intensity of cavity load fluctuations with high cavitation number.

2022 ◽  
Vol 12 (2) ◽  
pp. 700
Ralf-Martin Soe ◽  
Timo Ruohomäki ◽  
Henry Patzig

As a network of connected sensors to transform data into knowledge, Urban Platforms have been rooted in several smart city projects. However, this has often resulted in them being no more than IoT dashboards. More recently, there has been an increased interest in supporting the data governance and distributed architecture of Urban Platforms in order to adjust these with the administrative structure in a specific city. In addition, Urban Platforms also deal with data roaming between different stakeholders including other cities, different government levels, companies and citizens. Nevertheless, the first deployments have led to an inflexible “smart cities in a box” approach that does not help with building digital skills and causes vendor lock-in to products that do not scale. There is a need to start with simple and widespread urban services through a collaborative joint cross-border, hands-on effort. In order to meet the level of interoperability, international standards should be adopted. The aim of an Urban Open Platform (UOP), introduced in this paper, is to support not only data acquisition but also various types of data processing: data is aggregated, processed, manipulated and extended within the city context. Conceptually, special attention has been put on scalability, roaming and reliability in urban environments. This article introduces the UOP uniquely in the cross-border data exchange context of two European capital cities, Helsinki and Tallinn, and validates it with 10 real-life urban use cases.

2022 ◽  
Vol 12 (1) ◽  
Promode R. Bandyopadhyay

AbstractOrigin of scale coupling may be clarified by the understanding of multistability, or shifts between stable points via unstable equilibrium points due to a stimulus. When placed on a glasstop hotplate, cobs of corn underwent multistable autonomous oscillation, with unsteady viscous lubrication below and transitional plumes above, where the buoyancy to inertia force ratio is close to ≥ 1.0. Subsequently, viscous wall-frictional multistability occurred in six more types of smooth fruit with nominal symmetry. Autonomous motion observed are: cobs roll, pitch and yaw; but green chillies, blueberries, tropical berries, red grapes, oblong grapes and grape tomatoes roll and yaw. The cross products of the orthogonal angular momentum produce the observed motion. The prevalence of roll and yaw motion are the most common. Lubricant film thickness h$$\propto$$ ∝ U/(TF), for cob mass F, tangential velocity U and temperature T. In heavier cobs, the film thins, breaking frequently, changing stability. Lighter cobs have high h, favoring positive feedback and more spinning: more T rises, more viscosity of water drops, increasing U and h more, until cooling onsets. Infrequent popping of the tender corn kernel has the same mean sound pressure level as in hard popcorn. The plume vortex jets lock-in to the autonomous rolling cob oscillation. Away from any solid surface, the hot-cold side boundary produces plumes slanted at ± 45°. Surface fencing (13–26 μm high) appears to control motion drift.

2022 ◽  
Camille Petite ◽  
Rémi Marcouillé ◽  
Antonin MOREAU ◽  
Hélène KROL ◽  
Catherine GREZES-BESSET ◽  

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