Design and Development of a CPU Scheduler Simulator for Educational Purposes Using SDL

Rodríguez-Cayetano, Manuel

doi:10.1007/978-3-642-21652-7_5

Cited by 6 publications

(3 citation statements)

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“…The idea of a centralized scheduler in SDL was realized in [16] in terms of a CPU scheduler simulator for educational purposes. The presented scheduler supports a plenty of scheduling strategies (such as FCFS, SJF, and EDF); however, it simulates operating system processes only and is not intended for the scheduling of SDL systems.…”

Section: Discussionmentioning

confidence: 99%

Real-Time Signaling in SDL

Krämer

Braun

Christmann

et al. 2011

Lecture Notes in Computer Science

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Abstract. SDL is a formal specification language for distributed systems, which provides significant, yet limited real-time expressiveness by its notion of time (now) and its timer mechanism. In our current work, we are investigating various ways to augment this expressiveness, by proposing language extensions and exploiting degrees of freedom offered by SDL's formal semantics. This paper presents some recent results of our work: a mechanism for real-time signaling, which can be roughly characterized as a generalization of SDL timers. More specifically, we propose to add the possibility of specifying a time interval for the reception of ordinary SDL signals, by stating their time of arrival and expiry. This extension can be used, for instance, to specify time-triggered scheduling, which is required in many real-time systems. In the paper, we present the concept of real-time signaling, propose a syntactical extension of SDL, define its formal semantics, outline our implementation, show excerpts of a control application, and report on measurement results.

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Section: Discussionmentioning

confidence: 99%

Real-Time Signaling in SDL

Krämer

Braun

Christmann

et al. 2011

Lecture Notes in Computer Science

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“…Several CPU scheduling simulators have been previously developed for CPU scheduling algorithm evaluation. We use CPU scheduling simulators from [30] to simulate varies circumstances. The simulator enables us to study the behavior of the windows CPU scheduling when running different processes and simulate the normal work for the system.…”

Section: ) Simulation-identifiermentioning

confidence: 99%

Decoy Processes With Optimal Performance Fingerprints

Sutton

Rrushi

2023

IEEE Access

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Decoy targets such as honeypots and decoy I/O are characterized by a higher accuracy in detecting intrusions than anomaly, misuse, and specification-based detectors. Unlike these detectors, decoy targets do not attack an activity classification problem, i.e. they do not attempt to discern between normal activity and malicious activity. By design, decoy targets do not initiate system or network activity of their own, consequently any operation on a decoy target is unequivocally detected as malicious. However, we have found that this innate characteristic of decoy targets can be exploited by malware-initiated probes to detect them quite reliably. As a proof of concept, we describe red team tactics that collect and analyze live performance counters to detect decoy targets. To counter these threats on machines in production, we developed a defensive countermeasure that consists of decoy processes, with dynamics that are regulated and guarded by convolutional neural networks. Our deep learning approach characterizes and builds the performance fingerprint of a real process, which is then used to feed a performance profile into its decoy counterpart. Decoy processes emulate the existence of system activity, which is crafted to enable decoy I/O on machines in production to withstand malware probes. We evaluated the interplay between red team tactics and decoy processes integrated with a decoy Object Linking and Embedding for Process Control (OPC) server, and thus discuss our findings in the paper.

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“…There are also several tools emerging from the academic community and dedicated to the simulation of real-time systems such as Cheddar (Singhoff et al, 2004), MAST (Harbour et al, 2001), Storm (Urunuela et al, 2010) and others (Rodríguez-Cayetano, 2011;Chandarli et al, 2012). Most of these tools are designed to validate, test and analyze systems.…”

Section: Application Examplementioning

confidence: 99%

Simulation of Real-time Multiprocessor Scheduling with Overheads

Chéramy¹,

Déplanche²,

Hladik³

2013

Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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Abstract:Numerous scheduling algorithms were and still are designed in order to handle multiprocessor architectures, raising new issues due to the complexity of such architectures. Moreover, evaluating them is difficult without a real and complex implementation. Thus, this paper presents a tool that intends to facilitate the study of schedulers by providing an easy way of prototyping. Compared to the other scheduling simulators, this tool takes into account the impact of the caches through statistical models and includes direct overheads such as context switches and scheduling decisions.

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Design and Development of a CPU Scheduler Simulator for Educational Purposes Using SDL

Cited by 6 publications

References 0 publications

Real-Time Signaling in SDL

Real-Time Signaling in SDL

Decoy Processes With Optimal Performance Fingerprints

Simulation of Real-time Multiprocessor Scheduling with Overheads

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