Software System Integration Middleware An Overview

Asif, Seemal; Webb, Philip

doi:10.5120/21538-4547

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…In recent years, software integration has received much attention from both industry and research institutions. During the integration process, many attributes must be taken into consideration, such as interface compatibility, coherence of the context, reliability, and temporal performance [1]- [3]. The temporal attributes represent a crucial requirement that must be satisfied in a real-time system, since the correctness of output is not only determined by the result but also depends on the time the result was generated [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Independent Temporal Integration of ARINC653 Conformed Architecture — A Search Based Solution

et al. 2020

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ARINC653-based integrated modular avionics (IMA) architecture has been widely adopted in the design of modern civil and military aircraft. IMA imposes various requirements on the underlying operating system, of which the temporal and spatial separation requirements are essential to task allocation. In practice, finding the optimal allocation configurations of tasks to enable processing modules to satisfy various temporal constraints is one of the greatest challenges. For that purpose, hundreds of tasks must be mapped into given processing modules, which has been proven to be a nonpolynomial problem. This paper introduces a search-based approach to aid in finding effective solutions for the task allocation problem in polynomial time. Two search techniques based on both population search (genetic algorithm) and neighbor search (simulated annealing), along with their multicore versions, are presented. A heuristic is designed specifically to validate whether candidate solutions fulfill various constraints implied by IMA, and thus to evaluate the fitness. Furthermore, the multicore version is designed to reduce the time delay of obtaining a new optimized configuration. The results show that both algorithms can ultimately find optimized solutions with utility rates above 90% in all configurations and can support the optimization over 100 tasks, which is an outstanding result. The result also reveals that simulated annealing can produce a better solution under limited resources, while the genetic algorithm will determine a valid solution within a shorter time period. Moreover, simulated annealing outperforms the genetic algorithm in terms of both effectiveness and efficiency with respect to solving this allocation problem with complicated constraints.

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Section: Introductionmentioning

confidence: 99%

Independent Temporal Integration of ARINC653 Conformed Architecture — A Search Based Solution

et al. 2020

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IoT Cloud Computing Middleware for Crowd Monitoring and Evacuation

Gazis

Katsiri

2021

International Journal of Circuits, Systems and Signal Processing

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Map-Reduce is a programming model and an associated implementation for processing and generating large data sets. This model has a single point of failure: the master, who coordinates the work in a cluster. On the contrary, wireless sensor networks (WSNs) are distributed systems that scale and feature large numbers of small, computationally limited, low-power, unreliable nodes. In this article, we provide a top-down approach explaining the architecture, implementation and rationale of a distributed fault-tolerant IoT middleware. Specifically, this middleware consists of multiple mini-computing devices (Raspberry Pi) connected in a WSN which implement the Map-Reduce algorithm. First, we explain the tools used to develop this system. Second, we focus on the Map-Reduce algorithm implemented to overcome common network connectivity issues, as well as to enhance operation availability and reliability. Lastly, we provide benchmarks for our middleware as a crowd tracking application for a preserved building in Greece (i.e., M. Hatzidakis’ residence). The results of this study show that IoT middleware with low-power and low-cost components are viable solutions for medium-sized cloud computing distributed and parallel computing centres. Potential uses of this middleware apply for monitoring buildings and indoor structures, in addition to crowd tracking to prevent the spread of COVID-19.

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Software System Integration Middleware An Overview

Cited by 2 publications

References 5 publications

Independent Temporal Integration of ARINC653 Conformed Architecture — A Search Based Solution

Independent Temporal Integration of ARINC653 Conformed Architecture — A Search Based Solution

IoT Cloud Computing Middleware for Crowd Monitoring and Evacuation

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