Shweta Khare | ISIS Website

First name

Shweta

Last name

Khare

Khare, S., Tambe, S., An, K., Gokhale, A., & Pazandak, P. (2014). Scalable Reactive Stream Processing Using DDS and Rx.

Pradhan, S., Dubey, A., Khare, S., Sun, F., Sallai, J., Gokhale, A., et al. (2016). Poster Abstract: A Distributed and Resilient Platform for City-scale Smart Systems. In The First IEEE/ACM Symposium on Edge Computing. Washington DC.

Khare, S., An, K., Gokhale, A., Tambe, S., & Meena, A. (2015). Reactive stream processing for data-centric publish/subscribe. In 9th ACM International Conference on Distributed Event-Based Systems. Oslo, Norway: ACM. (Original work published June 2015)

Khare, S., Sallai, J., Dubey, A., & Gokhale, A. (2017). Towards Low-Cost Indoor Localization using Edge Computing Resources. In 20th IEEE International Symposium on Real-Time Computing (ISORC). IEEE. (Original work published May 2017)

Pradhan, S., Dubey, A., Khare, S., Nannapaneni, S., Gokhale, A., Mahadevan, S., et al. (2017). CHARIOT: A Holistic, Goal Driven Orchestration Solution for Resilient IoT Applications. Acm Transactions On Cyber-Physical Systems.

Barve, Y., Shekhar, S., Chhokra, A., Khare, S., Kang, Z., Bhattacharjee, A., et al. (2019). FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. In IEEE International Conference on Cloud Engineering (IC2E) . Prague, Czech Republic. (Original work published 2019)

Bhattacharjee, A., Barve, Y., Khare, S., Bao, S., & Gokhale, A. (2019). Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks. USENIX Conference on Operational Machine Learning (OpML '19) .

Barve, Y., Shekhar, S., Khare, S., Bhattacharjee, A., & Gokhale, A. (2018). UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications. In 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC) (pp. 1-10). (Original work published Dec)