Random4: An Application Specific Randomized Encryption Algorithm to Prevent SQL Injection. - Srinivas Avireddy; Varalakshmi Perumal; Narayan Gowraj; Ram Srivatsa Kannan; Prashanth Thinakaran; Sundaravadanam Ganapthi; Jashwant Raj Gunasekaran; Sruthi Prabhu (TrustCom, 2012)

Phoenix: A Constraint-Aware Scheduler for Heterogeneous Datacenters. - Prashanth Thinakaran; Jashwant Raj Gunasekaran; Bikash Sharma; Mahmut Taylan Kandemir; Chita R. Das (ICDCS, 2017)

The Curious Case of Container Orchestration and Scheduling in GPU-based Datacenters. - Prashanth Thinakaran; Jashwant Raj Gunasekaran; Bikash Sharma; Mahmut T. Kandemir; Chita R. Das (SoCC, 2018)

Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement in Public Cloud. - Jashwant Raj Gunasekaran; Prashanth Thinakaran; Mahmut Taylan Kandemir; Bhuvan Urgaonkar; George Kesidis; Chita R. Das (CLOUD, 2019)

Kube-Knots: Resource Harvesting through Dynamic Container Orchestration in GPU-based Datacenters. - Prashanth Thinakaran; Jashwant Raj Gunasekaran; Bikash Sharma; Mahmut Taylan Kandemir; Chita R. Das (CLUSTER, 2019)

Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters. - Jashwant Raj Gunasekaran; Michael Cui; Prashanth Thinakaran; Josh Simons; Mahmut T. Kandemir; Chita R. Das (CCGRID, 2020)

Characterizing Bottlenecks in Scheduling Microservices on Serverless Platforms. - Jashwant Raj Gunasekaran; Prashanth Thinakaran; Nachiappan Chidambaram Nachiappan; Ram Srivatsa Kannan; Mahmut Taylan Kandemir; Chita R. Das (ICDCS, 2020)

Minimizing Cost and Maximizing Performance for Cloud Platforms. - Jashwant Raj Gunasekaran (Middleware Doctoral Symposium, 2020)

Implications of Public Cloud Resource Heterogeneity for Inference Serving. - Jashwant Raj Gunasekaran; Cyan Subhra Mishra; Prashanth Thinakaran; Mahmut Taylan Kandemir; Chita R. Das (WOSC@Middleware, 2020)

Fifer: Tackling Resource Underutilization in the Serverless Era. - Jashwant Raj Gunasekaran; Prashanth Thinakaran; Nachiappan Chidambaram Nachiappan; Mahmut Taylan Kandemir; Chita R. Das (Middleware, 2020)

Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud. - Jashwant Raj Gunasekaran; Prashanth Thinakaran; Cyan Subhra Mishra; Mahmut Taylan Kandemir; Chita R. Das (CoRR, 2020)

Fifer: Tackling Underutilization in the Serverless Era. - Jashwant Raj Gunasekaran; Prashanth Thinakaran; Nachiappan Chidambaram Nachiappan; Mahmut T. Kandemir; Chita R. Das (CoRR, 2020)

Kraken: Adaptive Container Provisioning for Deploying Dynamic DAGs in Serverless Platforms. - Vivek M. Bhasi; Jashwant Raj Gunasekaran; Prashanth Thinakaran; Cyan Subhra Mishra; Mahmut Taylan Kandemir; Chita R. Das (SoCC, 2021)

Cross-Platform Performance Evaluation of Stateful Serverless Workflows. - Narges Shahidi; Jashwant Raj Gunasekaran; Mahmut Taylan Kandemir (IISWC, 2021)

GYAN: Accelerating Bioinformatics Tools in Galaxy with GPU-Aware Computation Mapping. - Gulsum Gudukbay; Jashwant Raj Gunasekaran; Yilin Feng; Mahmut T. Kandemir; Anton Nekrutenko; Chita R. Das; Paul Medvedev; Björn A. Grüning; Nate Coraor; Nathan Roach; Enis Afgan (IPDPS Workshops, 2021)

MLPP: Exploring Transfer Learning and Model Distillation for Predicting Application Performance. - Jashwant Raj Gunasekaran; Cyan Subhra Mishra (NAS, 2021)

Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud. - Jashwant Raj Gunasekaran; Cyan Subhra Mishra; Prashanth Thinakaran; Mahmut Taylan Kandemir; Chita R. Das (CoRR, 2021)

SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. - Prashanth Thinakaran; Kanak Mahadik; Jashwant Raj Gunasekaran; Mahmut Taylan Kandemir; Chita R. Das (IEEE Big Data, 2022)

Splice: An Automated Framework for Cost-and Performance-Aware Blending of Cloud Services. - Myungjun Son; Shruti Mohanty; Jashwant Raj Gunasekaran; Aman Jain; Mahmut Taylan Kandemir; George Kesidis; Bhuvan Urgaonkar (CCGRID, 2022)

Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms. - Vivek M. Bhasi; Jashwant Raj Gunasekaran; Aakash Sharma; Mahmut Taylan Kandemir; Chita R. Das (SoCC, 2022)

Cocktail: A Multidimensional Optimization for Model Serving in Cloud. - Jashwant Raj Gunasekaran; Cyan Subhra Mishra; Prashanth Thinakaran; Bikash Sharma; Mahmut Taylan Kandemir; Chita R. Das (NSDI, 2022)

Analysis of Distributed Deep Learning in the Cloud. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (CoRR, 2022)

SCOOP: A Scalable Object-Oriented Serverless Platform. - Narges Shahidi; Jashwant Raj Gunasekaran; Mahmut Taylan Kandemir; Bhuvan Urgaonkar (CLOUD, 2023)

MicroBlend: An Automated Service-Blending Framework for Microservice-Based Cloud Applications. - Myungjun Son; Shruti Mohanty; Jashwant Raj Gunasekaran; Mahmut T. Kandemir (CLOUD, 2023)

Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (ICDCS, 2023)

Towards SLO-Compliant and Cost-Effective Serverless Computing on Emerging GPU Architectures. - Vivek M. Bhasi; Aakash Sharma; Rishabh Jain; Jashwant Raj Gunasekaran; Ashutosh Pattnaik; Mahmut Taylan Kandemir; Chita R. Das (Middleware, 2024)