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Test automation in distributed systems requires new methods in signal simulation for the stimulation of the distributed system. Increasing complexity of electric electronic (E/E) systems enhances the testing-effort. The main challenge is reducing the time consuming manual stimulation in consideration of improving the quality of testing. Currently used systems for test automation with a software-based...
Hardware failures in cloud data centers may cause substantial losses to cloud providers and cloud users. Therefore, the ability to accurately predict when failures occur is of paramount importance. In this paper, we present FailureSim, a simulator based on CloudSim that supports failure prediction. FailureSim obtains performance related information from the cloud and classifies the status of the hardware...
There is an increasing demand to reduce cost and shorten the development period. Though an automation system consists of sub-systems, each sub-system is large. Therefore, the development of such a system is complex. In addition, an automation system, in which there are a wide variety of object requests, may not achieve the processing performance of the target depending on the combination and arrangement...
We present in this paper a method and tool for the verification of causal and temporal properties of embedded systems, by analyzing the trace streams resulting from virtual prototypes that combines simulated hardware and embedded software. The proposed method makes it possible to analyze different kinds of properties without rebuilding the simulation models. Logical clocks are used to identify relevant...
Wireless communication technologies have the potential to significantly reduce cabling cost, cut down on weight, and simplify the overall structure of industrial embedded systems. Potential risks and costs of a technological switch from wired interconnections toward a wireless solution are difficult to estimate, however. Model-based system engineering can help to reduce risk and cost and to increase...
MapReduce is a popular paradigm for processingbig data due to wide availability of its implementations inopen source such as Apache Hadoop. This framework isprimarily designed for optimal execution of an application ona commodity cluster of homogeneous nodes where all machinesin the cluster have identical hardware configurations. However, most organizations have surplus unused heterogeneous infrastructurewhich...
The complexity of heterogeneous systems has been increased during last years. One challenge of designing these systems is to deal with the application of methodologies based on Model Driven Architecture (MDA). MDA is a development framework that enables the description of systems by means of different models with transformations. This is an important area of research and consists on developping methodologies...
The enormous increase in data has led to the next grand challenge in computing: the big data problem-that is, the practice of collecting complex datasets so large that they're difficult to store, process, and interpret manually or using traditional data management applications. This column discusses the role of modeling and simulation science in the era of big data applications. Modeling and simulation...
In this paper we propose a technique for software-implementation of an UART (Universal-Asynchronous-Receive-Transmit) with the goal of getting a customizable UART-core which can be used as a module in implementing a bigger system irrespective of ones choice of implementation platform. Here we have written the core in VHDL (VHSIC hardware description language), implemented using XILINX ISE 10.1 Design...
Advanced debug support and trace capabilities are getting ever more important for overcoming the challenges of developing complex real-time embedded systems containing complex Systems-on-Chip (SoCs). Gathering and handling of very large software and system traces becomes a major challenge. We present an approach of recording and fusing software and system traces in combined simulated and real system...
Predicting the application behavior such as its resource utilization in a new hardware machine is becoming an urgent issue as the increasing number of servers with various configurations show up in data centers and clouds. Current two categories of approaches, the test bed evaluation based and the software simulation based methods, both have certain shortcomings. While the test bed evaluation based...
The state-of-the-art object-oriented modeling language UML does not offer any possibilities for model based analysis of functional or non-functional properties of a future solution. Reasons therefore are the semi-formality of its specification, the fact that it is not an executable language (yet) as well as the existence of informational gaps in the data, required for the desired analysis. This disadvantage...
Model-driven development has become the state- of-the-art approach for designing embedded real-time systems. Due to their high level of abstraction, models are easier to understand and verify, thus leading to less faulty systems. But even when combined with automatic code generation, there is still the risk of unintended behavior. This may, for example, arise from real sensor inputs which differ from...
ARINC 429 is a widely used bus standard in signal transmission of aeronautical electronic devices on civil aircraft. According to the analysis of ARINC 429 bus protocol and parameter characteristics, the thesis designs and implements synchronous and real-time simulation of multi-channel's 429 signals, coming from subsystems of a certain type of airplane. On the basis of simulation result, the author...
As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimizations. Given the complexities of sensor networks and the difficulty of analyzing the long-term effects of design changes within a deployed system, simulation is often the only feasible option for evaluating such optimizations...
The size and complexity of large-scale distributed embedded systems such as automotive and process controls have increased recently. Sophisticated systems that are safe and environmentally friendly require numerous types of sensor data, which are collected from various devices and sent to computers through networks. To develop such large-scale distributed embedded systems with high quality and productivity,...
Despite the reliability of modern disks, recent studies have made it clear that a new class of faults, UndetectedDisk Errors (UDEs) also known as silent data corruption events, become a real challenge as storage capacity scales. While RAID systems have proven effective in protecting data from traditional disk failures, silent data corruption events remain a significant problem unaddressed by RAID...
Simulation is an important method in the research and development of storage and network system. A good simulator can save memory and times. There are many simulators developed, but most of those simulator aimed at performance and data schedule algorithm. None of those simulators can model manipuility and dependability in large scale storage network. In this paper, we present the facilities and design...
RFID finds wide-ranging applications in many fields. When customers decide to implement a RFID application,they are possibly confused with some technical problems while allocating tags and readers to satisfy their business requirements. Due to the environment complexity, a general RFID deployment strategy is inapplicable that means the customers must create their own specific one. A simulator for...
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