Timenet 4 upgrade11/27/2022 #Timenet 4 upgrade software#A bursty workload can accelerate software aging bug activation as it requires instantaneous resource allocation. In this context, the memory leak is one of the well-known problems related to software aging. Software aging accumulation leads to increased resource consumption. This study can help design and plan the development and adoption of MTD strategies in practice regarding the trade-offs between security and performability assurance. The analysis results reveal sophisticated operational system behaviours and the impact of MTD strategies on system performability metrics. The modeled behaviours of the switch-over MTD strategies are based on the integration of service management policies (drop/accept) with time-based switch-over policies (zero-time, fixed-time, and variable-time waiting policies) Critical performability metrics are comprehensively evaluated, including (i) system availability, downtime minutes, and Capacity-oriented Availability (COA) of a service, (ii) service throughput, (iii) response time of a job, (iv) average utilization of a server, (v) number of lost jobs, and (vi) operational cost (power consumption and business profit loss). To investigate the impact of MTD strategies along with system availability on service performance metrics, we propose performability SRN models for various switch-over MTD strategies. In this paper, we present comprehensive modeling and analysis of time-based switch-over MTD strategies complying with IP shuffling techniques deployed in a Software Defined Network (SDN) using stochastic reward net (SRN). While, a lesser amount of studies considered the impact of running MTD mechanisms on system dependability metrics, exposing a critical missing on the comprehension of pros and cons of MTD mechanisms in terms of security and dependability. A number of previous works showed significant progress on security effectiveness evaluation for MTD mechanisms. It is essential to comprehend different aspects of performability of a system adopting Moving Target Ddefense (MTD) techniques. Thus, the methodology will be useful in the conceptual design phase of UAVs, in monitoring planning, and in the selection of UAVs for specific monitoring tasks. An important advantage is the ability to consider drone maintenance processes. The model can be easily adapted to the most popular flight tasks and allows for estimating the monitoring frequency and determining the most appropriate grouping and configuration of UAVs, monitoring schemes, air time and maintenance periods. It supports a modular view on typical setup elements and different types of UAVs and is based on UAV application standards. This paper presents a method to model and evaluate such UAV systems with coloured Petri nets. Model-based systems engineering supplies tools and methods to solve such problems. Stochastic influences such as failures and maintenance have to be taken into account. When designing such systems, operating companies have to find a system configuration of multiple drones that is near-optimal in terms of cost while achieving the required monitoring quality. The UAV industry is developing rapidly and drones are increasingly used for monitoring industrial facilities. Our key findings from this study include the following: (1) the deployment of MTD with the switchover strategy can improve the performance of services (2) the switchover strategy showed the best cost-effectiveness among all strategies considered in this work and (3) the interval of triggering MTD operations introduced a modest impact on job completion probability. We conducted comparative performance analysis with five DSPN models implemented in software packages such as TimeNet and Mercury under five different system configuration scenarios. In addition, we demonstrate the effect of triggering a time-based MTD operation on performance degradation (e.g., jobs dropped or response time) and quality-of-service (QoS) of the system. In this work, we present our developed stochastic models based on deterministic stochastic Petri net (DSPN) formalism to assess the performance degradation introduced by periodic MTD operations. One caveat in developing a time-based MTD-enabled system is the potential performance degradation due to MTD operations being triggered periodically. Moving target defense (MTD) is a promising proactive defense technique to enhance system or network security.
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