10 citations · 14 across the 8 of their papers we have counts for
9 papers
MemExchange: Utility-Driven Distributed Memory Reallocation for Multi-Tenant Datacenters
AmirHossein Seyri, Abhisek Pan, Balajee Vamanan
To handle unpredictable workloads, cloud providers typically over-provision memory to meet peak demand, resulting in substantial underutilization across datacenter clusters. At the…
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Hamidreza Almasi, Harsh Mishra, Balajee Vamanan +1
Modern ML applications increasingly rely on complex deep learning models and large datasets. There has been an exponential growth in the amount of computation needed to train the l…
Modeling Performance and Energy trade-offs in Online Data-Intensive Applications
Ajay Badita, Rooji Jinan, Balajee Vamanan +1
We consider energy minimization for data-intensive applications run on large number of servers, for given performance guarantees. We consider a system, where each incoming applicat…
Pulser: Fast Congestion Response using Explicit Incast Notifications for Datacenter Networks
Hamidrezae Almasi, Hamed Rezaei, Muhammad Usama Chaudhry +1
Datacenter applications frequently cause incast congestion, which degrades both flow completion times of short flows and throughput of long flows. Without isolating incast, existin…
Slytherin: Dynamic, Network-assisted Prioritization of Tail Packets in Datacenter Networks
Hamed Rezaei, Mojtaba Malekpourshahraki, Balajee Vamanan
Datacenter applications demand both low latency and high throughput; while interactive applications (e.g., Web Search) demand low tail latency for their short messages due to their…
Dart: Divide and Specialize for Fast Response to Congestion in RDMA-based Datacenter Networks
Jiachen Xue, Muhammad Usama Chaudhry, Balajee Vamanan +2
Though Remote Direct Memory Access (RDMA) promises to reduce datacenter network latencies significantly compared to TCP (e.g., 10x), end-to-end congestion control in the presence o…