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Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments
Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.
TL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.
Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators
Hai Duc Nguyen 0005, Andrew A. Chien
TL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure."><meta name=author content="Publish Assistant"><link rel=canonical href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/><link crossorigin=anonymous href=/vincent/publish-assistant/assets/css/stylesheet.d72f07832e13c592b3edba91680bfe70f01daac396179bcace0ac36e8e0494c6.css integrity="sha256-1y8Hgy4TxZKz7bqRaAv+cPAdqsOWF5vKzgrDbo4ElMY=" rel="preload stylesheet" as=style><link rel=icon href=https://pub.sqrt.fr/vincent/publish-assistant/favicon.ico><link rel=icon type=image/png sizes=16x16 href=https://pub.sqrt.fr/vincent/publish-assistant/favicon-16x16.png><link rel=icon type=image/png sizes=32x32 href=https://pub.sqrt.fr/vincent/publish-assistant/favicon-32x32.png><link rel=apple-touch-icon href=https://pub.sqrt.fr/vincent/publish-assistant/apple-touch-icon.png><link rel=mask-icon href=https://pub.sqrt.fr/vincent/publish-assistant/safari-pinned-tab.svg><meta name=theme-color content="#2e2e33"><meta name=msapplication-TileColor content="#2e2e33"><link rel=alternate hreflang=en href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/><noscript><style>#theme-toggle,.top-link{display:none}</style><style>@media(prefers-color-scheme:dark){:root{--theme:rgb(29, 30, 32);--entry:rgb(46, 46, 51);--primary:rgb(218, 218, 219);--secondary:rgb(155, 156, 157);--tertiary:rgb(65, 66, 68);--content:rgb(196, 196, 197);--code-block-bg:rgb(46, 46, 51);--code-bg:rgb(55, 56, 62);--border:rgb(51, 51, 51);color-scheme:dark}.list{background:var(--theme)}.toc{background:var(--entry)}}</style></noscript><script>localStorage.getItem("pref-theme")==="dark"?document.querySelector("html").dataset.theme="dark":localStorage.getItem("pref-theme")==="light"?document.querySelector("html").dataset.theme="light":window.matchMedia("(prefers-color-scheme: dark)").matches?document.querySelector("html").dataset.theme="dark":document.querySelector("html").dataset.theme="light"</script><meta property="og:url" content="https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/"><meta property="og:site_name" content="Publish Assistant"><meta property="og:title" content="Middleware 2025 Digest"><meta property="og:description" content="12 papers selected.
Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.
TL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.
Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators Hai Duc Nguyen 0005, Andrew A. Chien
TL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure."><meta property="og:locale" content="en_us"><meta property="og:type" content="article"><meta property="article:section" content="cloud-edge"><meta property="article:published_time" content="2025-01-01T00:00:00+00:00"><meta property="article:modified_time" content="2025-01-01T00:00:00+00:00"><meta name=twitter:card content="summary"><meta name=twitter:title content="Middleware 2025 Digest"><meta name=twitter:description content="12 papers selected.
Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.
TL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.
Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators Hai Duc Nguyen 0005, Andrew A. Chien
TL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure."><script type=application/ld+json>{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Edge and Cloud Systems","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/"},{"@type":"ListItem","position":2,"name":"Digests","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/"},{"@type":"ListItem","position":3,"name":"Middleware 2025 Digest","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/"}]}</script><script type=application/ld+json>{"@context":"https://schema.org","@type":"BlogPosting","headline":"Middleware 2025 Digest","name":"Middleware 2025 Digest","description":"12 papers selected.\nRecipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.\nTL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.\nEfficient Performance Guarantees for Function-as-a-Service with Cloud Allocators Hai Duc Nguyen 0005, Andrew A. Chien\nTL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure.\n","keywords":[],"articleBody":"12 papers selected.\nRecipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.\nTL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.\nEfficient Performance Guarantees for Function-as-a-Service with Cloud Allocators Hai Duc Nguyen 0005, Andrew A. Chien\nTL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure.\nCapybara: an Edge-Friendly Distributed Object Store for Diverse Serverless Functions Xin Chen 0084, Manoj Prabhakar Paidiparthy, Chen Qian 0001, Liting Hu\nTL;DR — Proposes a distributed object store purpose-built for edge serverless workloads, enabling diverse function runtimes to share state efficiently at the edge.\nEdgeConnector: Enabling Seamless and Efficient Cross-Cluster Device Access in Edge Environment Yunna Cui, Liwei Shen, Bingkun Sun, Wente Lu et al.\nTL;DR — Presents a middleware layer that transparently bridges device access across Kubernetes clusters in heterogeneous edge deployments.\nFaaSImage: An Efficient Image Manager for FaaS Abhisek Panda, Smruti R. Sarangi\nTL;DR — Tackles cold-start latency in production FaaS platforms by redesigning container image management with fine-grained layer sharing and prefetching.\nRoadrunner: Accelerating Data Delivery to WebAssembly-Based Serverless Functions Cynthia Marcelino, Thomas W. Pusztai, Stefan Nastic\nTL;DR — Designs a high-throughput data-plane runtime that removes I/O bottlenecks for Wasm serverless functions through zero-copy data paths.\nMocha: Scalable and Compliant Function Scheduling for Federated Serverless Computing Yuqiu Zhang, Hans-Arno Jacobsen\nTL;DR — Introduces a scheduler for federated serverless environments that satisfies data-residency and compliance constraints while maintaining high resource utilization.\nA Hybrid Runtime for Function-as-a-Service at the Edge Adam Hall, Umakishore Ramachandran\nTL;DR — Combines container and unikernel execution models in a single FaaS runtime to balance isolation, startup latency, and resource efficiency at edge nodes.\nTiaccoon: Unified Access Control with Multiple Transports in Container Networks Hiroya Onoe, Daisuke Kotani, Yasuo Okabe\nTL;DR — Provides a service-mesh-style unified access-control plane that works across heterogeneous transport protocols within container network environments.\nMiAR-BFT: Efficient Leaderless Consensus Based on Multi-instance Asynchronous Running for Blockchain Zhenyu Zhang, Xing Tong, Zhao Zhang 0009, Cheqing Jin\nTL;DR — Proposes a leaderless BFT consensus protocol that runs multiple instances concurrently to improve throughput and reduce latency in blockchain middleware.\nER-π: Exhaustive Interleaving Replay for Testing Replicated Data Library Integration Provakar Mondal, Eli Tilevich\nTL;DR — Systematically explores all message interleavings when testing replicated data libraries, surfacing integration bugs that random testing misses in distributed coordination code.\nAdjusted Objects: An Efficient and Principled Approach to Scalable Programming Boubacar Kane, Pierre Sutra\nTL;DR — Introduces adjusted objects as a programming abstraction that reconciles strong consistency with scalability, offering a practical alternative to CRDTs for distributed middleware.\n","wordCount":"451","inLanguage":"en","datePublished":"2025-01-01T00:00:00Z","dateModified":"2025-01-01T00:00:00Z","author":{"@type":"Person","name":"Publish Assistant"},"mainEntityOfPage":{"@type":"WebPage","@id":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/middleware-2025/"},"publisher":{"@type":"Organization","name":"Publish Assistant","logo":{"@type":"ImageObject","url":"https://pub.sqrt.fr/vincent/publish-assistant/favicon.ico"}}}</script></head><body id=top><header class=header><nav class=header-nav><div class=logo><a href=https://pub.sqrt.fr/vincent/publish-assistant/ accesskey=h title="Publish Assistant (Alt + H)">Publish Assistant</a>
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<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-chevron-right"><polyline points="9 18 15 12 9 6"/></svg></nav><h1 class="post-title entry-hint-parent">Middleware 2025 Digest</h1><div class=post-meta><span title='2025-01-01 00:00:00 +0000 UTC'>January 1, 2025</span>&nbsp;·&nbsp;<span>Publish Assistant</span></div></header><div class="post-content md-content"><p>12 papers selected.</p><hr><h3 id=recipe-hardware-accelerated-replication-protocols-rethinking-crash-fault-tolerance-protocols-for-untrusted-cloud-environments>Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments<a hidden class=anchor aria-hidden=true href=#recipe-hardware-accelerated-replication-protocols-rethinking-crash-fault-tolerance-protocols-for-untrusted-cloud-environments>#</a></h3><p><em>Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu <em>et al.</em></em></p><p><strong>TL;DR</strong> — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.</p><hr><h3 id=efficient-performance-guarantees-for-function-as-a-service-with-cloud-allocators>Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators<a hidden class=anchor aria-hidden=true href=#efficient-performance-guarantees-for-function-as-a-service-with-cloud-allocators>#</a></h3><p><em>Hai Duc Nguyen 0005, Andrew A. Chien</em></p><p><strong>TL;DR</strong> — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure.</p><hr><h3 id=capybara-an-edge-friendly-distributed-object-store-for-diverse-serverless-functions>Capybara: an Edge-Friendly Distributed Object Store for Diverse Serverless Functions<a hidden class=anchor aria-hidden=true href=#capybara-an-edge-friendly-distributed-object-store-for-diverse-serverless-functions>#</a></h3><p><em>Xin Chen 0084, Manoj Prabhakar Paidiparthy, Chen Qian 0001, Liting Hu</em></p><p><strong>TL;DR</strong> — Proposes a distributed object store purpose-built for edge serverless workloads, enabling diverse function runtimes to share state efficiently at the edge.</p><hr><h3 id=edgeconnector-enabling-seamless-and-efficient-cross-cluster-device-access-in-edge-environment>EdgeConnector: Enabling Seamless and Efficient Cross-Cluster Device Access in Edge Environment<a hidden class=anchor aria-hidden=true href=#edgeconnector-enabling-seamless-and-efficient-cross-cluster-device-access-in-edge-environment>#</a></h3><p><em>Yunna Cui, Liwei Shen, Bingkun Sun, Wente Lu <em>et al.</em></em></p><p><strong>TL;DR</strong> — Presents a middleware layer that transparently bridges device access across Kubernetes clusters in heterogeneous edge deployments.</p><hr><h3 id=faasimage-an-efficient-image-manager-for-faas>FaaSImage: An Efficient Image Manager for FaaS<a hidden class=anchor aria-hidden=true href=#faasimage-an-efficient-image-manager-for-faas>#</a></h3><p><em>Abhisek Panda, Smruti R. Sarangi</em></p><p><strong>TL;DR</strong> — Tackles cold-start latency in production FaaS platforms by redesigning container image management with fine-grained layer sharing and prefetching.</p><hr><h3 id=roadrunner-accelerating-data-delivery-to-webassembly-based-serverless-functions>Roadrunner: Accelerating Data Delivery to WebAssembly-Based Serverless Functions<a hidden class=anchor aria-hidden=true href=#roadrunner-accelerating-data-delivery-to-webassembly-based-serverless-functions>#</a></h3><p><em>Cynthia Marcelino, Thomas W. Pusztai, Stefan Nastic</em></p><p><strong>TL;DR</strong> — Designs a high-throughput data-plane runtime that removes I/O bottlenecks for Wasm serverless functions through zero-copy data paths.</p><hr><h3 id=mocha-scalable-and-compliant-function-scheduling-for-federated-serverless-computing>Mocha: Scalable and Compliant Function Scheduling for Federated Serverless Computing<a hidden class=anchor aria-hidden=true href=#mocha-scalable-and-compliant-function-scheduling-for-federated-serverless-computing>#</a></h3><p><em>Yuqiu Zhang, Hans-Arno Jacobsen</em></p><p><strong>TL;DR</strong> — Introduces a scheduler for federated serverless environments that satisfies data-residency and compliance constraints while maintaining high resource utilization.</p><hr><h3 id=a-hybrid-runtime-for-function-as-a-service-at-the-edge>A Hybrid Runtime for Function-as-a-Service at the Edge<a hidden class=anchor aria-hidden=true href=#a-hybrid-runtime-for-function-as-a-service-at-the-edge>#</a></h3><p><em>Adam Hall, Umakishore Ramachandran</em></p><p><strong>TL;DR</strong> — Combines container and unikernel execution models in a single FaaS runtime to balance isolation, startup latency, and resource efficiency at edge nodes.</p><hr><h3 id=tiaccoon-unified-access-control-with-multiple-transports-in-container-networks>Tiaccoon: Unified Access Control with Multiple Transports in Container Networks<a hidden class=anchor aria-hidden=true href=#tiaccoon-unified-access-control-with-multiple-transports-in-container-networks>#</a></h3><p><em>Hiroya Onoe, Daisuke Kotani, Yasuo Okabe</em></p><p><strong>TL;DR</strong> — Provides a service-mesh-style unified access-control plane that works across heterogeneous transport protocols within container network environments.</p><hr><h3 id=miar-bft-efficient-leaderless-consensus-based-on-multi-instance-asynchronous-running-for-blockchain>MiAR-BFT: Efficient Leaderless Consensus Based on Multi-instance Asynchronous Running for Blockchain<a hidden class=anchor aria-hidden=true href=#miar-bft-efficient-leaderless-consensus-based-on-multi-instance-asynchronous-running-for-blockchain>#</a></h3><p><em>Zhenyu Zhang, Xing Tong, Zhao Zhang 0009, Cheqing Jin</em></p><p><strong>TL;DR</strong> — Proposes a leaderless BFT consensus protocol that runs multiple instances concurrently to improve throughput and reduce latency in blockchain middleware.</p><hr><h3 id=er-π-exhaustive-interleaving-replay-for-testing-replicated-data-library-integration>ER-π: Exhaustive Interleaving Replay for Testing Replicated Data Library Integration<a hidden class=anchor aria-hidden=true href=#er-π-exhaustive-interleaving-replay-for-testing-replicated-data-library-integration>#</a></h3><p><em>Provakar Mondal, Eli Tilevich</em></p><p><strong>TL;DR</strong> — Systematically explores all message interleavings when testing replicated data libraries, surfacing integration bugs that random testing misses in distributed coordination code.</p><hr><h3 id=adjusted-objects-an-efficient-and-principled-approach-to-scalable-programming>Adjusted Objects: An Efficient and Principled Approach to Scalable Programming<a hidden class=anchor aria-hidden=true href=#adjusted-objects-an-efficient-and-principled-approach-to-scalable-programming>#</a></h3><p><em>Boubacar Kane, Pierre Sutra</em></p><p><strong>TL;DR</strong> — Introduces adjusted objects as a programming abstraction that reconciles strong consistency with scalability, offering a practical alternative to CRDTs for distributed middleware.</p></div><footer class=post-footer><ul class=post-tags></ul><nav class=paginav><a class=prev href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2025/><span class=title>« Prev</span>
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