Şenan Ece Schmidt

E-mail

eguran@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-4062-389X

Scopus Author ID

56212013600

Web of Science Researcher ID

V-5213-2018

Computation of tight bounds for the worst-case end-to-end delay on Avionics Full-Duplex Switched Ethernet Ayhan Kilinc, Zeynep; Schmidt, Şenan Ece; Schmidt, Klaus Verner (2024-11-01) Avionics Full-Duplex Switched Ethernet (AFDX) is a fault-tolerant real-time communication bus for safety–critical applications in aircraft. AFDX configures communication channels, denoted as virtual links (VLs), ensuring b...
OMNeT++ Simulation Framework for Avionics Full-Duplex Switched Ethernet Gökçe, İ. Peşkircioğlu; Üçüncü, M.; Schmidt, Şenan Ece (2024-05-01) Avionics Full-Duplex Switched Ethernet (AFDX) is a popular network technology for integrated modular avionics (IMA). When designing an AFDX network, it is important to fulfill the real-time communication requirements of av...
Weak TDMA for the Deterministic Medium Access on the Controller Area Network Akpinar, Murat; Schmidt, Şenan Ece; Schmidt, Klaus Verner (2024-01-01) This paper proposes weak TDMA (WTDMA) as a new method for slotted medium access on the controller area network (CAN). Different from TDMA, WTDMA does not require guard times for the temporal isolation of different time slo...
Uniformity and Independence of H3 Hash Functions for Bloom Filters Koltuk, Furkan; Schmidt, Şenan Ece (2024-01-01) In this paper, we investigate the effects of violating the conditions of hash function uniformity and/or independence on the false positive probability of Bloom Filters (BF). To this end, we focus on hash functions of the ...
An approach for defining faults in MIL-STD-1553 bus in an Avionics Architecture Sagirkaya, Hüseyin; Schmidt, Şenan Ece (2023-01-01) This paper presents a detailed and realistic simulation environment for the very widely used MIL-STD-1553 communication protocol. We then propose a machine-learning approach for detecting malicious traffic and preventing f...
Highly Accurate Clock Synchronization With Drift Correction for the Controller Area Network Akpinar, Murat; Schmidt, Şenan Ece; Schmidt, Klaus Verner (2022-12-01) Modem vehicles, that have to be considered as safety-critical cyber-physical systems, require highly accurate clock synchronization (CS) among their distributed computing devices. Since Controller Area Network (CAN) is the...
Clock Synchronization for the Controller Area Network using Bit Timing Information CAN Aǧlari için Bit Zamanlamasi Bilgisine Dayali Saat Senkronizasyonu Arkadaş, Doğu Erkan; Akpinar, Murat; Schmidt, Şenan Ece; Schmidt, Klaus Verner (2022-01-01) Mission-critical distributed automotive applications that communicate on the controller area network (CAN) require synchronized clocks in order to coordinate their actions. Therefore, this paper proposes an original precis...
Hardware Accelerators for Cloud Computing: Features and Implementation Tirlioglu, Anil; Demir, Omer Bayram; Yazar, Alper; Schmidt, Şenan Ece (2021-01-01) In this paper, hardware accelerator (FHA) applications realized on FPGA that can be offered as a service in cloud computing systems are discussed. It is necessary to know the hardware resources used by FHA applications and...
An On-chip Switch Architecture for Hardware Accelerated Cloud Computing Systems Donanim Hizlandiricili Bulut Bilisim Sistemleri icin Yonga-ustu Anahtar Mimarisi Yazıcı, Fatih; Yildiz, Ayhan Sefa; Yazar, Alper; Schmidt, Şenan Ece (2020-10-05) © 2020 IEEE.In this paper, we propose a scalable on-chip packet switch architecture for hardware accelerated cloud computing systems. Our proposed switch architecture is implemented on the FPGA and interconnects reconfigur...
Realistic Workload Generation for Cloud Data Centers Bulut Veri Merkezleri icin Gercekci Is Yuku Uretimi Koltuk, Furkan; Schmidt, Şenan Ece (2020-10-05) © 2020 IEEE.This paper proposes a new method for creating synthetic workload traces in accordance with the distribution and time characteristics of a given actual workload trace. To this end, we first find the distribution...

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