Releasability Combined Buffer Requirements after the COVID-19 pandemic

This chapter discusses the relasing of certain combined buffer requirements for banks after the outbreak of the COVID-19 Pandemic, and particularly addresses the debate that spun off after the measures being taken by the European Central Bank and National Caompetent Authorities about the suitability of the current macro-prudential toolkit

Feature placement algorithms for high-variability applications in cloud environments

While the use of cloud computing is on the rise, many obstacles to its adoption remain. One of the weaknesses of current cloud offerings is the difficulty of developing highly customizable applications while retaining the increased scalability and lower cost offered by the multi-tenant nature of cloud applications. In this paper we describe a Software Product Line Engineering (SPLE) approach to the modelling and deployment of customizable Software as a Service (SaaS) applications. Afterwards we define a formal feature placement problem to manage these applications, and compare several heuristic approaches to solve the problem. The scalability and performance of the algorithms is investigated in detail. Our experiments show that the heuristics scale and perform well for systems with a reasonable load

State of Utah v. Jindall : Brief of Appellant

Security principles, like least privilege, are among the resources in the security body of knowledge that survived the test of time. The implementation of these principles in a software architecture is difficult, as there are no systematic rules on how to apply them in practice. As a result, they are often neglected, which lowers the overall security level of the software system and increases the cost necessary to fix this later in de development life-cycle. This report improves the support for least privilege in software architectures by (i) defining the foundations to identify potential violations of the principle herein and (ii) elicitating architectural transformations that positively impact the security properties of the architecture, while preserving the semantics thereof. These results have been implemented and validated in a number of case studies.nrpages: 74status: publishe

Cost-effective feature placement of customizable multi-tenant applications in the cloud

Cloud computing technologies can be used to more flexibly provision application resources. By exploiting multi-tenancy, instances can be shared between users, lowering the cost of providing applications. A weakness of current cloud offerings however, is the difficulty of creating customizable applications that retain these advantages. In this article, we define a feature-based cloud resource management model, making use of Software Product Line Engineering techniques, where applications are composed of feature instances using a service-oriented architecture. We focus on how resources can be allocated in a cost-effective way within this model, a problem which we refer to as the feature placement problem. A formal description of this problem, that can be used to allocate resources in a cost-effective way, is provided. We take both the cost of failure to place features, and the cost of using servers into account, making it possible to take energy costs or the cost of public cloud infrastructure into consideration during the placement calculation. Four algorithms that can be used to solve the feature placement problem are defined. We evaluate the algorithm solutions, comparing them with the optimal solution determined using an integer linear problem solver, and evaluating the execution times of the algorithms, making use of both generated inputs and a use case based on three applications. We show that, using our approach a higher degree of multi-tenancy can be achieved, and that for the considered scenarios, taking the relationships between features into account and using application-oriented placement performs 25-40 % better than a purely feature-oriented placement

Energy aware software evolution for wireless sensor networks

Wireless Sensor Networks (WSNs) are subject to high levels of dynamism arising from changing environmental conditions and application requirements. Reconfiguration allows software functionality to be optimized for current environmental conditions and supports software evolution to meet variable application requirements. Contemporary software modularization approaches for WSNs allow for software evolution at various granularities; from monolithic re-flashing of OS and application functionality, through replacement of complete applications, to the reconfiguration of individual software components. As the nodes that compose a WSN must typically operate for long periods on a single battery charge, estimating the energy cost of software evolution is critical. This paper contributes a generic model for calculating the energy cost of the reconfiguration in WSN. We have embedded this model in the LooCI middleware, resulting in the first energy aware reconfigurable component model for sensor networks. We evaluate our approach using two real-world WSN applications and find that (i.) our model accurately predicts the energy cost of reconfiguration and (ii.) component-based reconfiguration has a high initial cost, but provides energy savings during software evolution

De Implementatiewet verliesabsorptie- en herkapitalisatiecapaciteit van banken en beleggingsondernemingen

This contribution deals with the implementation of the BRRD provision in Dutch law confirming the ranking of liabilities of banks in the event of the application of a resolution and bail-in tool