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Author

Suvarthi Sarkar

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Conference Jul 2026

Data-Parallel and Heterogeneity-Aware Scheduling for Geo-Distributed Serverless Scientific Workflows

Serverless computing has emerged as a promising paradigm for executing scientific workflows characterized by complex task dependencies, data-intensive operations, and high computational demands. However, most existing scheduling approaches assume homogeneous, single-region environments and primarily focus on isolated f...

Shubhradeep Roy, Suvarthi Sarkar, Koushik Mukka et al. · 0 citations
Conference Jul 2026

C-PCP: Correlation-Aware Proportional Critical Path Scheduling for Input-Sensitive Serverless Workflows

Serverless computing is a cost-effective, on-demand paradigm for deploying application workflows, but it faces a key challenge in efficient resource allocation. Platforms must provision resources that satisfy Service Level Objectives (SLOs) while minimizing operational cost. In real workflows, execution time depends on...

G. V. Reddy, Chandrashekhar Dharmarajan, Suvarthi Sarkar et al. · 0 citations
Conference Jul 2026

LLM-Based Multi-Agent Collaboration for Constrained Multi-Objective Container Placement

Container placement in data centers must simultaneously minimize power consumption and maximize affinity preferences, while satisfying multi-resource capacity and anti-affinity constraints. Traditional approaches typically rely on fixed rules, which lack adaptability to dynamic cluster states and are difficult to exten...

Suvarthi Sarkar, Abhishek Hazra, Akshat Mittal et al. · 0 citations

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