![]() The results of our computational experiments, carried out on medium-size randomly generated instances, show that the proposed solution approach is able to provide optimal solutions within short computation times. In order to solve this robust optimization problem, we develop an adversarial approach in which the adversarial sub-problem is solved by a Branch & Price algorithm. The uncertain input parameters correspond to the amount of illegitimate flow on each path connecting an attack source to the target and can take values within a predefined uncertainty set. ![]() We propose a robust optimization framework to solve this problem. We seek to determine the optimal number and locations of virtual network functions in order to remove all the illegitimate traffic while minimizing the total cost of the activated virtual network functions. However, due to 5G network slicing, the exact routing of the illegitimate flow in the network is not known by the internet service provider. We assume that the target, sources and volume of the attack have been identified. The present work focuses on deploying a network function virtualization based architecture to secure a network against an on-going DDoS attack. They thus need to invest in security solutions to protect their network against DDoS attacks. Furthermore, the proposed methodology is illustrated through its application to the case of medium voltage automation to improve the continuity of supply.ĭistributed Denial of Service (DDoS) cyberattacks represent a major security risk for network operators and internet service providers. Additionally, the methodology incorporates the analysis of economic, regulatory and social aspects to identify drivers and barriers for scaling-up and replication of smart grid implementations. The core of the SRA methodology is technical analysis based on simulation that lets the impact of smart grid implementations be quantified under different conditions. Subsequently, a comprehensive methodology for the SRA of smart grid solutions is described in detail. This paper reviews existing approaches and proposals for the SRA of smart grid solutions, and describes European research and demonstration projects that have dealt with SRA from various perspectives. SRA is a very valuable tool to support policy-makers and the industry in shaping the strategy for sustainability and smart grid deployment. The scalability and replicability analysis (SRA) of smart grid implementations aims to understand the effect of the context and to infer the impacts that may be expected from smart grid solutions. ![]() Therefore, the conclusions drawn may not be directly applicable to the implementation of the same solutions in different locations or at a larger scale. ![]() ![]() However, the results observed are subject to the specific context of the demonstrators. Numerous pilot projects have been launched to test smart grid solutions in real-life systems. You may refer to this post: Two Rectangles Overlap Detection Algorithm in C++ if you want to perform the overlapping tests for two rectangles.Smart grid solutions offer great potential for achieving more efficient integration of renewable energy in the distribution network. The intersection area is thus represented by (lower-left to upper-right rectangle) (x 0, y 0) ~ (x 1, y 1). The following four coordinates are computed. There are four situations that these two rectangles do not overlap each other.īased on this, we can futher compute the intesection area (rectangle). The solution is simple: instead of checking the situations these two collide, we can check the opposite. AMAZON - INTERSECTION OF TWO LINKED LISTS (LeetCode) - C++ | Java | Python ![]()
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