Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
A three-agent system with a microkernel and typed ISA enables safe parallel microreboots in microservices by inferring recovery boundaries from traces, achieving zero agent-caused harm in online tests.
Introduces a benchmarking suite for compound AI applications to support cross-stack performance, cost, and resource analysis for hardware-software co-design.
Flare proposes routing microservice spike load selectively to serverless while keeping steady load on VMs, with claimed minimal integration changes.
citing papers explorer
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Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading
Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
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Rebooting Microreboot: Architectural Support for Safe, Parallel Recovery in Microservice Systems
A three-agent system with a microkernel and typed ISA enables safe parallel microreboots in microservices by inferring recovery boundaries from traces, achieving zero agent-caused harm in online tests.
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Benchmarking Compound AI Applications for Hardware-Software Co-Design
Introduces a benchmarking suite for compound AI applications to support cross-stack performance, cost, and resource analysis for hardware-software co-design.
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Flare: Leveraging Serverless Elasticity to Absorb Microservice Load Spikes
Flare proposes routing microservice spike load selectively to serverless while keeping steady load on VMs, with claimed minimal integration changes.