ABSTRACT Today Richard Sherman Jersey , system reliability is one of the most crucial considerations in an engineering system design. Different multi-objective optimization approaches have been used to find the most suitable system design options for systems as they find the trade-off between conflicting systems such as cost and response time. Previously, cost and reliability have been studied in the context of an optimization problem; however, the effect of redundancy allocation to the response time has not been yet studied. The article considered in this paper takes into consideration cost Jimmy Garoppolo Jersey , reliability and response time as optimization criteria and uses a multi-objective Ant Colony Optimisation algorithm to determine the near-optimal set of system designs
?br > 1. INTRODUCTION OF ARTICLES Today, system reliability is one of the most crucial considerations in an engineering system design. There are various ways in which a design engineer can enhance the reliability of a system with a given basic design. Two critical criteria that an engineer can consider are 1) to increase the component reliabilities of a system, and 2) to provide redundancy at different phases. The provision of redundant components in parallel is known as redundancy allocation problems. Reliability is an essential element of consideration when designing embedded architectures of dependable Wholesale 49ers Hats , safety critical systems including in the automotive industry. In the automotive sector, one of the commonly used methods for the reliability improvement of complex embedded systems is redundancy allocation. The allocation of redundant components in a system affects reliability as well as other important non-functional quality attributes of the system such as cost and response time. Different multi-objective optimization approaches have been used to find the good system design options for systems as they find the trade-off between conflicting systems such as cost and response time. Previously, cost and reliability have been studied in the context of an optimization problem; however Wholesale 49ers Hoodies , the effect of redundancy allocation to the response time has not been studied yet. The article considered in this paper edundancy Allocation in Automotive Systems using Multi-objective Optimisation?by Meedeniya and colleagues takes into consideration cost, reliability and response time as optimization criteria and uses a multi-objective Ant Colony Optimisation algorithm to determine the near-optimal set of system designs. Besides cost, when redundancy is used in automotive systems Wholesale 49ers Shirts , additional overheads incur into the response time. The approach employed in this paper finds several non-dominated architecture solutions for component redundancy allocation considering system reliability, response time and cost simultaneously. The paper is organized into various sections. The first section introduces the topic and research objective. The second section summarizes the research contributions in redundancy allocation, reliability and response time evaluations for component-based architectures as well as the applicability of design space exploration strategies. The third and fourth sections describe the system model and the architecture quality evaluation models that were used in the computation of reliability Wholesale 49ers Jerseys , response time and cost respectively. The fifth and sixth sections describe the Ant Colony Algorithm for solving the redundancy allocation problem and the ArcheOpterix tool that has been used for implementation. The last sections of the paper present the case study, finding and conclusions respectively. 2. EXPLANATION OF THE WORK PRESENTED IN JOURNAL ARTICLES The methodology used in the study is an optimization method, the Ant Colony Optimisation (ACO) to find a set of non-dominated architecture solutions for component redundancy allocation considering reliability Cheap 49ers Hats , response time and cost simultaneously (Meedeniya, Aleti & B眉hnova, 2009). The paper presents a model that provides the estimated time for a single visit inside a component and also captures the impact of redundant components to the execution behavior of the system. The study uses an automotive control system as a case study for the demonstration of the method. The approaches used in the study were able to evaluate the reliability Cheap 49ers Hoodies , response time and cost appropriately. The study achieved a near-optimal set of possible redundancy allocation decision. 3. DISCUSSION OF CONTRIBUTIONS Redundancy allocation is important in improving the reliability in the level of system components and also a popular system reliability improvement technique. Through the automotive case study of a composite system of Anti-lock Break System and Adaptive Cruise Control, the study validated the optimization method used in the study. The approach in the paper considers reliability, response time and cost as optimization criteria. Response time is an important aspect of automotive systems in safety critical sub-systems and in user interaction sub-systems that include the navigation system. 4. DISCUSSION OF DEFICIENCY AND POTENTIAL IMPROVEMENTS Future improvements of the study include solving the describing redundancy allocation problem as well as obtaining the optimum resource usage through deployment. It would also be important to capture the reliability impacts to inter-component communication so as to accomplish a more realistic perspective on system reliability for automotive embedded systems. 5. SUMMARY The study adequately achieved the objectives of the paper and significantly contributed to enhancing system reliability in the automotive domain. Reliability Cheap 49ers Shirts , response time and cost are considered in the approach, thus address the redundancy allocation problem in embedded system architectures. ACKNOWLEDGMENTS I am grateful for the great support that the Commonwealth of Australia through the Cooperative Resea
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