PODC

The LTN cloud is a specialized global cloud providing real-time, broadcast-quality video transport and processing services supporting diverse workflows for the media industry (www.ltnglobal.com). The system is governed by a persistent control plane ...

In this study, we show the advantages of incorporating multi-source knowledge from publicly available sources, such as ChatGPT and Wikipedia, into existing datasets to enhance the performance of machine learning models for routine tasks, such as ...

This article will take you on a journey to the core of blockchains, their Byzantine consensus engine, where HotStuff emerged as a new algorithmic foundation for the classical Byzantine generals consensus problem. The first part of the article ...

The current method for building software infrastructure in disaggregated data centers involves creating new virtual machine monitors or operating system kernels that make the underlying hardware appear as a group of logical servers. Although this ...

In the Hydro project we are designing a compiler toolkit that can optimize for the concerns of distributed systems, including scale-up and scale-down, availability, and consistency of outcomes across replicas. This invited paper overviews the project, ...

Oblivious Transfer (OT) protocol is nowadays recognised as a generic primitive for all cryptographic protocols since it is one of the strongest primitives for secure multiparty computation (MPC). To design hardware-assisted OT protocols, Physically ...

Ever since the advent of "multiserver jobs" (jobs that require more than one server or core simultaneously), practitioners have been faced with the question of how to pack these jobs into a compute cluster. While many policies have been proposed, ...

Distributed applications on the cloud are being developed and deployed as microservices as opposed to the monolithic architecture. Service Meshes have emerged as a way of specifying communication policies between microservices. Service Meshes have the ...

Byzantine fault tolerant consensus protocols are implemented with consecutive broadcasts but suffer from a low throughput at large geographical scale or planetary scale. A reason for this inefficiency is believed to be their all-to-all communication ...

In this paper, we investigate the interplay between early exit mechanisms in deep neural networks and privacy preservation in the context of federated learning. Our primary objective is to assess how early exits impact privacy during the learning and ...

HotStuff is a Byzantine fault-tolerant state machine replication protocol that incurs linear communication costs to achieve consensus. This linear scalability promoted the protocol to be adopted as the consensus mechanism in permissioned blockchains. ...

Reliable distributed systems require replication and consensus among distributed processes to tolerate process and communication failures. Understanding and assuring the correctness of protocols for replication and consensus have been a significant ...

We present the first performance comparison of EdDSA and BLS signatures in committee-based consensus protocols through large-scale geo-distributed benchmarks. Contrary to popular beliefs, we find that small deployments (less than 40 validators) can ...

Due to the increasing complexity of robot swarm algorithms, analyzing their performance theoretically is often very difficult. Instead, simulators are often used to benchmark the performance of robot swarm algorithms. However, we are not aware of ...