2 citations · 4 across the 9 of their papers we have counts for
12 papers
SKYE: Write-Optimized Key-Value Store with Fine-Grained Control over Persistent Memory Accesses
Soujanya Ponnapalli, Sekwon Lee, Rohan Kadekodi +1
State-of-the-art key-value stores built for persistent memory (PM) provide low latency as they allow application threads to directly access the data on PM and rely on hardware to m…
Token Latency Fairness: Performance Isolation for Multi-Tenant LLM Serving
Dev Bali, Soujanya Ponnapalli, Yichuan Wang +3
LLM serving is typically offered as a shared, multi-tenant service, where high-demand workloads from one client can cause latency SLO violations for others. Existing solutions for…
The Time is Here for Just-in-Time Systems: Challenges and Opportunities
Shu Liu, Alexander Krentsel, Shubham Agarwal +8
Core systems like key-value stores have historically taken years to build, and are designed to be general so as to amortize cost across deployments, paying a significant performanc…
Real Life Is Uncertain. Consensus Should Be Too!
Reginald Frank, Soujanya Ponnapalli, Octavio Lomeli +3
Modern distributed systems rely on consensus protocols to build a fault-tolerant-core upon which they can build applications. Consensus protocols are correct under a specific failu…
Delta Fair Sharing: Performance Isolation for Multi-Tenant Storage Systems
Tyler Griggs, Soujanya Ponnapalli, Dev Bali +8
Modern storage systems, often deployed to support multiple tenants in the cloud, must provide performance isolation. Unfortunately, traditional approaches such as fair sharing do n…
Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First
Shu Liu, Soujanya Ponnapalli, Shreya Shankar +12
Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload for data systems in the future. When wor…