Shashank Shekhar
Orcid: 0000-0003-0363-5362Affiliations:
- Siemens Corporate Technology, Princeton, NJ, USA
- Vanderbilt University, Nashville, TN, USA (former)
According to our database1,
Shashank Shekhar
authored at least 39 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Pervasive Mob. Comput., 2024
Robust Decentralized Secondary Control Validation in Inverter-based Microgrid Testbed.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024
2023
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023
Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0.
Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023
2022
Dynamic 5G Network Slice Management Middleware for Industrial Internet of Things: Industry Paper.
CoRR, 2022
Software-defined Dynamic 5G Network Slice Management for Industrial Internet of Things.
Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022
Proceedings of the 14th IFIP Wireless and Mobile Networking Conference, 2022
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022
Machine Learning-based False Data Injection Attack Detection and Localization in Power Grids.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022
2021
2020
URMILA: Dynamically trading-off fog and edge resources for performance and mobility-aware IoT services.
J. Syst. Archit., 2020
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge.
Proceedings of the 4th IEEE International Conference on Fog and Edge Computing, 2020
2019
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019
Supporting fog/edge-based cognitive assistance IoT services for the visually impaired: poster abstract.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019
2018
Simulation-Based Optimization as a Service for Dynamic Data-Driven Applications Systems.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
iTune: Engineering the Performance of Xen Hypervisor via Autonomous and Dynamic Scheduler Reconfiguration.
IEEE Trans. Serv. Comput., 2018
UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018
FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018
Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018
2017
Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications.
Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017
Scalable and Adaptive Software Defined Network Management for Cloud-hosted Group Communication Applications.
Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017
Enabling IoT Applications via Dynamic Cloud-Edge Resource Management: Poster Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017
Proceedings of the 1st IEEE International Conference on Fog and Edge Computing, 2017
Dynamic Resource Management Across Cloud-Edge Resources for Performance-Sensitive Applications.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
2016
Intelligent, Performance Interference-Aware Resource Management for IoT Cloud Backends.
Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016
Proceedings of the 2016 IEEE International Conference on Cloud Engineering Workshop, 2016
2015
Simul. Model. Pract. Theory, 2015
2014
A cloud middleware for assuring performance and high availability of soft real-time applications.
J. Syst. Archit., 2014
Towards a performance interference-aware virtual machine placement strategy for supporting soft real-time applications in the cloud.
Proceedings of the REACTION 2014, 2014
iPlace: An Intelligent and Tunable Power- and Performance-Aware Virtual Machine Placement Technique for Cloud-Based Real-Time Applications.
Proceedings of the 17th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2014
2013
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013
Model-driven performance estimation, deployment, and resource management for cloud-hosted services.
Proceedings of the 2013 ACM workshop on Domain-specific modeling, 2013
A Model-driven Approach for Price/Performance Tradeoffs in Cloud-based MapReduce Application Deployment.
Proceedings of the 2nd International Workshop on Model-Driven Engineering for High Performance and CLoud computing co-located with 16th International Conference on Model Driven Engineering Languages and Systems (MODELS 2013), 2013
Intelligent power- and performance-aware tradeoffs for multicore servers in cloud data centers.
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems (with CPS Week 2013), 2013
2012
A Framework for Effective Placement of Virtual Machine Replicas for Highly Available Performance-sensitive Cloud-based Applications.
Proceedings of the REACTION 2012, 2012