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Akhilesh S. Thyagaturu
Researcher at Intel
Publications - 25
Citations - 1107
Akhilesh S. Thyagaturu is an academic researcher from Intel. The author has contributed to research in topics: Backhaul (telecommunications) & Software-defined networking. The author has an hindex of 10, co-authored 24 publications receiving 678 citations. Previous affiliations of Akhilesh S. Thyagaturu include Arizona State University.
Papers
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Journal ArticleDOI
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research
Ahmed Nasrallah,Akhilesh S. Thyagaturu,Ziyad Alharbi,Cuixiang Wang,Xing Shao,Martin Reisslein,Hesham Elbakoury +6 more
TL;DR: In this article, the authors provide an up-to-date comprehensive survey of the IEEE TSN and IETF DetNet standards and related research studies and identify the pitfalls and limitations of the existing standards and research studies.
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Software Defined Optical Networks (SDONs): A Comprehensive Survey
TL;DR: This article comprehensively survey studies that examine the SDN paradigm in optical networks; in brief, it mainly organize the SDON studies into studies focused on the infrastructure layer, the control layer, and the application layer.
Journal ArticleDOI
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research
Ahmed Nasrallah,Akhilesh S. Thyagaturu,Ziyad Alharbi,Cuixiang Wang,Xing Shao,Martin Reisslein,Hesham Elbakoury +6 more
TL;DR: An up-to-date comprehensive survey of the IEEE TSN and IETF DetNet standards and the related research studies and the main categories of fronthaul, backhaul, and network management are surveyed.
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LayBack: SDN Management of Multi-Access Edge Computing (MEC) for Network Access Services and Radio Resource Sharing
Prateek Shantharama,Akhilesh S. Thyagaturu,Nurullah Karakoc,Lorenzo Ferrari,Martin Reisslein,Anna Scaglione +5 more
TL;DR: It is found that for non-uniform call arrivals, the computation of the function blocks with resource sharing among operators increases a revenue rate measure by more than 25% compared to the conventional CRAN where each operator utilizes only its own resources.
Journal ArticleDOI
Performance Comparison of IEEE 802.1 TSN Time Aware Shaper (TAS) and Asynchronous Traffic Shaper (ATS)
Ahmed Nasrallah,Akhilesh S. Thyagaturu,Ziyad Alharbi,Cuixiang Wang,Xing Shao,Martin Reisslein,Hesham Elbakoury +6 more
TL;DR: Evaluated mean and maximum packet delays and packet losses of the TAS for a typical industrial control ring network for random (sporadic) and for periodic traffic indicate that TAS with proper configurations, e.g., accurate and precise gating schedules, generally achieves the specified latency bounds for both sporadic and periodic traffic.