EFaaS introduces a serverless entangled scheduler with calibration-aware placement, dual-resource queuing, and speculative execution primitives that reports 11-94% TTNS reductions and 83-98% convergence speedups for hybrid VQAs.
Cloud Programming Simplified: A Berkeley View on Serverless Computing
5 Pith papers cite this work. Polarity classification is still indexing.
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abstract
Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the cloud. It provides an interface that greatly simplifies cloud programming, and represents an evolution that parallels the transition from assembly language to high-level programming languages. This paper gives a quick history of cloud computing, including an accounting of the predictions of the 2009 Berkeley View of Cloud Computing paper, explains the motivation for serverless computing, describes applications that stretch the current limits of serverless, and then lists obstacles and research opportunities required for serverless computing to fulfill its full potential. Just as the 2009 paper identified challenges for the cloud and predicted they would be addressed and that cloud use would accelerate, we predict these issues are solvable and that serverless computing will grow to dominate the future of cloud computing.
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Agyn is an open-source platform providing a signal-driven stateful serverless runtime on Kubernetes, a Terraform provider for agent definition, and a zero-trust security model for scalable AI agent operations.
Serverless computing for data analytics involves trade-offs in disaggregation, isolation, and scheduling that push most workloads toward hybrid Servermix architectures.
Second-generation serverless platforms using lightweight isolates and edge deployment achieve roughly 10 ms warm latency and negligible cold starts, according to architecture analysis of seven platforms and microbenchmarks totaling over 38 million function calls.
A periodic framework is proposed to characterize, compare, and predict behaviors across distributed computing solutions by mapping system properties in a structured space inspired by the chemical periodic table.
citing papers explorer
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EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms
EFaaS introduces a serverless entangled scheduler with calibration-aware placement, dual-resource queuing, and speculative execution primitives that reports 11-94% TTNS reductions and 83-98% convergence speedups for hybrid VQAs.
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Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
Agyn is an open-source platform providing a signal-driven stateful serverless runtime on Kubernetes, a Terraform provider for agent definition, and a zero-trust security model for scalable AI agent operations.
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New Kids: An Architecture and Performance Investigation of Second-Generation Serverless Platforms
Second-generation serverless platforms using lightweight isolates and edge deployment achieve roughly 10 ms warm latency and negligible cold starts, according to architecture analysis of seven platforms and microbenchmarks totaling over 38 million function calls.
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A Periodic Space of Distributed Computing: Vision & Framework
A periodic framework is proposed to characterize, compare, and predict behaviors across distributed computing solutions by mapping system properties in a structured space inspired by the chemical periodic table.