multi-topic, publish from gh-pages branch

site/data/cloud-edge/papers/TCC-2024-digest.yaml

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+venue: TCC
+year: 2024
+selected:
+  - title: "FaaSCtrl: A Comprehensive-Latency Controller for Serverless Platforms"
+    authors:
+    - Abhisek Panda
+    - Smruti R. Sarangi
+    tldr: "FaaSCtrl is a feedback-control system for serverless platforms that jointly manages cold-start, queuing, and execution latency to meet end-to-end SLOs."
+    why_notable: "One of the few serverless controllers that addresses all three latency components together, providing a principled alternative to ad-hoc autoscaling heuristics."
+
+  - title: "FUSIONIZE++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization"
+    authors:
+    - Trever Schirmer
+    - Joel Scheuner
+    - Tobias Pfandzelter
+    - David Bermbach
+    tldr: "FUSIONIZE++ dynamically fuses serverless functions at runtime and co-optimizes infrastructure selection to cut invocation overhead and cost."
+    why_notable: "Demonstrates concrete end-to-end performance gains from function fusion in real serverless deployments, directly relevant to practitioners optimizing FaaS pipelines."
+
+  - title: "BaaSLess: Backend-as-a-Service (BaaS)-Enabled Workflows in Federated Serverless Infrastructures"
+    authors:
+    - Thomas Larcher
+    - Philipp Gritsch
+    - Stefan Nastic
+    - Sashko Ristov
+    tldr: "BaaSLess integrates BaaS capabilities into serverless workflow execution across federated multi-provider infrastructures, enabling stateful cross-cloud function orchestration."
+    why_notable: "Addresses the underexplored intersection of BaaS, serverless, and federation, offering a practical blueprint for multi-cloud serverless applications."
+
+  - title: "Slim and Fast: Low-Overhead Container Overlay Network With Fast Connection Setup"
+    authors:
+    - Fusheng Lin
+    - Xin Zhang 0117
+    - Guo Chen 0001
+    - Li Chen 0008
+    - Kenli Li 0001
+    - Hongbo Jiang 0001
+    tldr: "A redesigned container overlay network that minimizes control-plane overhead and dramatically reduces connection setup latency for microservice-dense deployments."
+    why_notable: "The implementation targets real Kubernetes environments and directly improves east-west latency for microservices at scale."
+
+  - title: "Trustless Collaborative Cloud Federation"
+    authors:
+    - Bishakh Chandra Ghosh
+    - Sandip Chakraborty 0001
+    tldr: "A blockchain-backed protocol that enables resource sharing across competing cloud providers without requiring a trusted third party."
+    why_notable: "Tackles the fundamental trust barrier in multi-cloud federation with a practical, decentralized design that avoids provider lock-in."
+
+  - title: "An Adaptive Cloud Resource Quota Scheme Based on Dynamic Portraits and Task-Resource Matching"
+    authors:
+    - Zuodong Jin
+    - Dan Tao
+    - Peng Qi 0006
+    - Ruipeng Gao
+    tldr: "Builds dynamic workload portraits per tenant and matches them to resource quotas in real time, improving utilization while respecting SLAs in IaaS/PaaS clouds."
+    why_notable: "Moves beyond static quota assignment with a data-driven approach validated on production cloud workload traces."
+
+  - title: "Aggregate Monitoring for Geo-Distributed Kubernetes Cluster Federations"
+    authors:
+    - Chih-Kai Huang 0001
+    - Guillaume Pierre
+    tldr: "Proposes a scalable monitoring architecture for Kubernetes federations that aggregates metrics across geo-distributed clusters with low overhead."
+    why_notable: "Practical multi-cloud observability is rarely addressed at the federation layer; this work provides a deployable solution with measured performance on real clusters."
+
+  - title: "Root Cause Analysis for Cloud-Native Applications"
+    authors:
+    - Bartosz Zurkowski
+    - Krzysztof Zielinski
+    tldr: "A graph-based RCA framework for microservice architectures that correlates traces, metrics, and logs to pinpoint fault origins in cloud-native deployments."
+    why_notable: "Directly applicable to production microservice operations, offering automated diagnosis that reduces mean time to recovery in complex service graphs."
+
+  - title: "RAM: A Resource-Aware DDoS Attack Mitigation Framework in Clouds"
+    authors:
+    - Fangyuan Xing
+    - Fei Tong 0001
+    - Jialong Yang
+    - Guang Cheng 0001
+    - Shibo He
+    tldr: "RAM dynamically allocates cloud resources for DDoS mitigation based on attack intensity, balancing protection effectiveness against resource cost."
+    why_notable: "Combines attack detection and elastic resource provisioning in a single framework, making it immediately relevant for cloud security operations."
+
+  - title: "Enabling Multi-Layer Threat Analysis in Dynamic Cloud Environments"
+    authors:
+    - Salman Manzoor
+    - Antonios Gouglidis
+    - Matthew Bradbury
+    - Neeraj Suri
+    tldr: "A multi-layer threat analysis system that correlates security events across IaaS, PaaS, and application layers to detect composite attacks in dynamic cloud deployments."
+    why_notable: "Addresses the gap between per-layer security tools and cross-layer attack detection, which is critical for securing modern cloud stacks."
+
+  - title: "Hyperion: Hardware-Based High-Performance and Secure System for Container Networks"
+    authors:
+    - Myoungsung You
+    - Minjae Seo
+    - Jaehan Kim
+    - Seungwon Shin 0001
+    - Jaehyun Nam
+    tldr: "Hyperion offloads container network security enforcement to programmable hardware, achieving line-rate packet processing with strong isolation guarantees."
+    why_notable: "Shows that hardware offload can simultaneously improve both throughput and security in container networking, with real implementation results."
+
+  - title: "D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs"
+    authors:
+    - Aditya Dhakal
+    - Sameer G. Kulkarni
+    - K. K. Ramakrishnan
+    tldr: "D-STACK multiplexes multiple DNN inference jobs on shared GPUs via spatio-temporal scheduling, significantly increasing throughput without latency SLO violations."
+    why_notable: "Addresses a critical cloud resource management challenge for AI inference services, with a real system implementation and evaluation against production workloads."