PAVAN KUMAR PALURI

PhD Student @ University of Houston

@ adeywp@r.postjobfree.com 281-***-**** Houston, Texas paluri.us pavan-kumar-paluri-19940619

pvpk1994 Pavan Kumar Paluri

SUMMARY

• Highly Interested in so[ware development,

operaঞng-system design and implementaঞon

jobs.

• Adept in building theoreঞcal & mathemaঞcal

models for realisঞc problems, design algorithms

and so[ware for developed models.

• Experienced in building so[ware by converঞng

high-level ideas into codes and have wri en

over 6000 lines of code in C, 4000 lines of code

in C++ and 2800 lines of code in Python so far.

• Familiar with operaঞng systems like Linux, Unix, Windows and Virtualizaঞon pla orms like Xen,

XtratuM & WindRiver.

• Have a thorough knowledge and Understanding

of various data structures.

EDUCATION

PhD.

University of Houston

2017 – Now Houston, Texas

• Major: Computer Science

• Research field: Real-Time Systems;

Operaঞng-Systems; Virtualizaঞon; Scheduling

Algorithms; Cyber-Physical Systems; Linux

Kernel Development; Machine-Learning.

• Enrolled for Masters in 2016, opted for PhD in

2017, transferred course credits from Masters

to PhD.

• GPA: 3.40/4.00

Bachelor

VIT University

2012 – 2016 Chennai, India

• Major: Computer Science & Engineering

• GPA: 8.23/10.00

LANGUAGES

C/C++

Python

Shell Scripঞng, PHP

Latex

HTML,CSS,Lua,R

TEACHING ASSISTANT

Operaঞng Systems and Programming

in C/C++

University of Houston

August 2017 – Now Houston, TX, US

RESEARCH EXPERIENCE

Research in Hierarchical Real-Time Scheduling (HiRTS) University of Houston

August 2017 – Now Houston, TX

• The first-ever to design a fault-tolerance mechanism for Virtual Machine

(VM) scheduling (HiRTS-RRP model) in a Virtualized Real-Time Operaঞng System. Link to Paper: IEEE Xplore

• First-ever to study the problem of efficiently mapping real-ঞme tasks from task level to virtual machines at resource-level in HiRTS-RRP model.

• The first-ever to design and implement single-core and mulঞ-core VM schedulers based on HiRTS-RRP model in Xen & XtratuM hypervisors. Also, developed several APIs and Xen hypercalls to implement efficient message passing mechanisms .

• HiRTS-RRP VM schedulers could achieve minimum latency, maximum throughput and also show be er hard and so[ real-ঞme performance than contemporary Xen and XtratuM schedulers. Project Webpage: Link Research in Real-Time Traffic Rouঞng

University of Houston

October 2019 – Ongoing Houston, TX

• This project aims at minimizing the average travel ঞme of all vehicles in a given network with respect to their individual travel deadlines to improve overall traffic throughput.

• This project offers a test bed based on Simulaঞon of Urban MObility

(SUMO) that can evaluate the performance of a traffic rouঞng policy based on the average travel ঞme of all vehicle agents in a given traffic grid.

• A ”Selfless” Traffic Rouঞng model (STR) is proposed that mostly focuses on reducing the travel ঞmes of all vehicles in a given grid. A value-based reinforcement learning strategy is used to achieve the benefits of an STP model. work-in-progress publicaঞon: IEEE Xplore

SKILLS

• Hypervisors: Xen, XtratuM, Wind River

• Real-Time Systems: RT-Linux, LitmusRT, RT-Xen, LithOS.

• Tools/ So[ware: Nano, Xcode, PyCharm, CLion, Nginx webserver, PHP-FastCGI, Simulaঞon of Urban MObility (SUMO), VxWorks

• APIs: REST, xl-toolstack, Xen hypercalls, Libivrt, POSIX, self-developed Xen APIs, PAPI (Performance API)

PUBLICATIONS

• Cheng, A. M. K. et al. (2019). “Fault-Tolerant Regularity-Based Real-Time Virtual Resources”. In: 2019 IEEE 25th Interna onal Conference on Embedded and Real-Time Compu ng Systems and Applica ons (RTCSA), pp. 1–12.

• Paluri, P. K. et al. (2019). “Work-in-Progress: Leveraging the Selfless Driving Model to Reduce Vehicular Network Congesঞon”. In: 2019 IEEE Real-Time Systems Symposium (RTSS), pp. 548–551.

• Guangli, Pavan Kumar Paluri, and Albert M. K. Cheng (Dec. 2018). “RRP Edge Compuঞng System”. In: Interna onal Workshop on Trustworthy & Real- me Edge Compu ng for Cyber-Physical Systems. TN, USA.

• Guangli, Pavan Kumar Paluri, and Albert Mo Kim Cheng (2018). “Task Mapping in a Regularity-based Resource Parঞঞoning Hierarchical Real-Time System”. In: Work-in-Progress of the 30th Euromicro Conference on Real-Time Systems (ECRTS).

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