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ORCIDShashank Shekhar 0001
Person information
- affiliation: Siemens Corporate Technology, Princeton, NJ, USA
- affiliation (former): Vanderbilt University, Nashville, TN, USA
Other persons with the same name
- Shashank Shekhar — disambiguation page
- Shashank Shekhar 0002 — LAAS-CNRS, Toulouse, France (and 1 more)
- Shashank Shekhar 0003
![[0000-0003-3661-666X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3661-666X")
— VMware Inc., Palo Alto, CA, USA - Shashank Shekhar 0004 — Indian Institute of Technology, Madras, Chennai, India
- Shashank Shekhar 0005 — University of Guelph
- Shashank Shekhar 0006 — Indian Institute of Science, Bengaluru, India
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2020 – today
- 2024
[c30]Ziran Min, Ziteng Liu, Zhuangwei Kang, Shuang Zhou, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Aniruddha Gokhale:
A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management. COMSNETS 2024: 497-505- [c29]Siddharth Bhela, Abhishek Banerjee, Shashank Shekhar, Elliott Fix, Vaibhav Pawaskar, Ulrich Münz, Joachim Bamberger:
Robust Decentralized Secondary Control Validation in Inverter-based Microgrid Testbed. ISGT 2024: 1-5 - 2023
- [c28]Ziran Min, Shuang Zhou, Zhuangwei Kang, Shashank Shekhar, Charif Mahmoudi, Aniruddha S. Gokhale, Aniruddha Gokhale:
Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0. ISORC 2023: 220-223 - [c27]Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale:
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications. SMARTCOMP 2023: 133-140 - [c26]Yifan Wang, Weijia Song, Yuting Yang, Charif Mahmoudi, Shashank Shekhar, Kenneth P. Birman:
Dash: A Low Code Development Platform for AI Applications in Industry. UEMCON 2023: 72-81 - 2022
- [c25]Bruno P. Leao, Jagannadh Vempati, Ulrich Münz, Shashank Shekhar, Amit Pandey, David Hingos, Siddharth Bhela, Jing Wang, Chris Bilby:
Machine Learning-based False Data Injection Attack Detection and Localization in Power Grids. CNS 2022: 1-8 - [c24]Purboday Ghosh, Shashank Shekhar, Yashen Lin, Ulrich Münz, Gabor Karsai:
Peer-to-Peer Communication Trade-Offs for Smart Grid Applications. ICCCN 2022: 1-10 - [c23]Akram Hakiri, Aniruddha S. Gokhale, Yogesh D. Barve, Valerio Formicola, Shashank Shekhar, Charif Mahmoudi, Mohammad Ashiqur Rahman, Uttam Ghosh, Syed Rafay Hasan, Terry N. Guo:
Techniques for Realizing Secure, Resilient and Differentiated 5G Operations. WMNC 2022: 113-117 - [c22]Ziran Min, Shashank Shekhar, Charif Mahmoudi, Valerio Formicola, Swapna S. Gokhale, Aniruddha Gokhale:
Software-defined Dynamic 5G Network Slice Management for Industrial Internet of Things. NCA 2022: 251-259 - [i4]Ziran Min, Shashank Shekhar, Charif Mahmoudi, Valerio Formicola, Swapna S. Gokhale, Aniruddha Gokhale:
Dynamic 5G Network Slice Management Middleware for Industrial Internet of Things: Industry Paper. CoRR abs/2207.07219 (2022) - 2021
- [i3]Purboday Ghosh, Shashank Shekhar, Ulrich Münz, Gabor Karsai:
Peer-to-Peer Communication Trade-Offs for Smart Grid Applications. CoRR abs/2112.06848 (2021) - 2020
- [j5]Shashank Shekhar, Ajay Chhokra, Hongyang Sun, Aniruddha Gokhale, Abhishek Dubey, Xenofon D. Koutsoukos, Gabor Karsai:
URMILA: Dynamically trading-off fog and edge resources for performance and mobility-aware IoT services. J. Syst. Archit. 107: 101710 (2020) - [c21]Anirban Bhattacharjee, Ajay Dev Chhokra, Hongyang Sun, Shashank Shekhar, Aniruddha Gokhale, Gabor Karsai, Abhishek Dubey:
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge. ICFEC 2020: 75-84 - [i2]Anirban Bhattacharjee, Ajay Dev Chhokra, Hongyang Sun, Shashank Shekhar, Aniruddha Gokhale, Gabor Karsai, Abhishek Dubey:
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge. CoRR abs/2004.05740 (2020)
2010 – 2019
- 2019
- [c20]Yogesh D. Barve, Shashank Shekhar, Ajay Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale:
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. IC2E 2019: 211-221 - [c19]Shashank Shekhar, Ajay Chhokra, Hongyang Sun, Aniruddha Gokhale, Abhishek Dubey, Xenofon D. Koutsoukos:
Supporting fog/edge-based cognitive assistance IoT services for the visually impaired: poster abstract. IoTDI 2019: 275-276 - [c18]Shashank Shekhar, Ajay Chhokra, Hongyang Sun, Aniruddha Gokhale, Abhishek Dubey, Xenofon D. Koutsoukos:
URMILA: A Performance and Mobility-Aware Fog/Edge Resource Management Middleware. ISORC 2019: 118-125 - [i1]Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale:
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. CoRR abs/1904.05833 (2019) - 2018
- [j4]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale:
iTune: Engineering the Performance of Xen Hypervisor via Autonomous and Dynamic Scheduler Reconfiguration. IEEE Trans. Serv. Comput. 11(1): 103-116 (2018) - [c17]Shashank Shekhar, Hamzah Abdel-Aziz, Anirban Bhattacharjee, Aniruddha S. Gokhale, Xenofon D. Koutsoukos:
Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications. IEEE CLOUD 2018: 82-89 - [c16]Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale:
FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum. SEC 2018: 331-333 - [c15]Yogesh D. Barve, Shashank Shekhar, Shweta Khare, Anirban Bhattacharjee, Aniruddha S. Gokhale:
UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications. UCC 2018: 1-10 - [p1]Yi Li, Shashank Shekhar, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos, Aniruddha S. Gokhale:
Simulation-Based Optimization as a Service for Dynamic Data-Driven Applications Systems. Handbook of Dynamic Data Driven Applications Systems 2018: 589-614 - 2017
- [c14]Shashank Shekhar, Aniruddha S. Gokhale:
Dynamic Resource Management Across Cloud-Edge Resources for Performance-Sensitive Applications. CCGrid 2017: 707-710 - [c13]Shashank Shekhar, Ajay Dev Chhokra, Anirban Bhattacharjee, Guillaume Aupy, Aniruddha S. Gokhale:
INDICES: Exploiting Edge Resources for Performance-Aware Cloud-Hosted Services. ICFEC 2017: 75-80 - [c12]Shashank Shekhar, Aniruddha S. Gokhale:
Enabling IoT Applications via Dynamic Cloud-Edge Resource Management: Poster Abstract. IoTDI 2017: 331-332 - [c11]Prithviraj Patil, Akram Hakiri, Shashank Shekhar, Aniruddha S. Gokhale:
Scalable and Adaptive Software Defined Network Management for Cloud-hosted Group Communication Applications. UCC 2017: 111-120 - [c10]Shashank Shekhar, Yogesh D. Barve, Aniruddha S. Gokhale:
Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications. UCC 2017: 187-188 - 2016
- [j3]Shashank Shekhar, Hamzah Abdel-Aziz, Michael Walker, Faruk Caglar, Aniruddha S. Gokhale, Xenofon D. Koutsoukos:
A simulation as a service cloud middleware. Ann. des Télécommunications 71(3-4): 93-108 (2016) - [c9]Shashank Shekhar:
Dynamic Data Driven Cloud Systems for Cloud-Hosted CPS. IC2E Workshops 2016: 195-197 - [c8]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale, Xenofon D. Koutsoukos:
Intelligent, Performance Interference-Aware Resource Management for IoT Cloud Backends. IoTDI 2016: 95-105 - 2015
- [j2]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale, Satabdi Basu, Tazrian Rafi, John S. Kinnebrew, Gautam Biswas:
Cloud-hosted simulation-as-a-service for high school STEM education. Simul. Model. Pract. Theory 58: 255-273 (2015) - 2014
- [j1]Kyoungho An, Shashank Shekhar, Faruk Caglar, Aniruddha S. Gokhale, Shivakumar Sastry:
A cloud middleware for assuring performance and high availability of soft real-time applications. J. Syst. Archit. 60(9): 757-769 (2014) - [c7]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale:
iPlace: An Intelligent and Tunable Power- and Performance-Aware Virtual Machine Placement Technique for Cloud-Based Real-Time Applications. ISORC 2014: 48-55 - [c6]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale:
Towards a performance interference-aware virtual machine placement strategy for supporting soft real-time applications in the cloud. REACTION 2014 - 2013
- [c5]Faruk Caglar, Shashank Shekhar, Kyoungho An, Aniruddha S. Gokhale:
Intelligent power- and performance-aware tradeoffs for multicore servers in cloud data centers. ICCPS 2013: 241 - [c4]Shashank Shekhar, Faruk Caglar, Kyoungho An, Takayuki Kuroda, Aniruddha S. Gokhale, Swapna S. Gokhale:
A Model-driven Approach for Price/Performance Tradeoffs in Cloud-based MapReduce Application Deployment. MDHPCL@MoDELS 2013: 37-42 - [c3]Faruk Caglar, Kyoungho An, Shashank Shekhar, Aniruddha S. Gokhale:
Model-driven performance estimation, deployment, and resource management for cloud-hosted services. DSM@SPLASH 2013: 21-26 - [c2]Anton Dukeman, Faruk Caglar, Shashank Shekhar, John S. Kinnebrew, Gautam Biswas, Douglas H. Fisher, Aniruddha S. Gokhale:
Teaching Computational Thinking Skills in C3STEM with Traffic Simulation. CHI-KDD 2013: 350-357 - 2012
- [c1]Kyoungho An, Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale:
A Framework for Effective Placement of Virtual Machine Replicas for Highly Available Performance-sensitive Cloud-based Applications. REACTION 2012
Coauthor Index
aka: Aniruddha Gokhale
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