yusuke1997/dblp-id-title huggingface dataset:
Cartel: A System for Collaborative Transfer Learning at the Edge
DRAM Failure Prediction with Correctable Error Spatial Patterns: A Hybrid Learning Approach
Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
Prism: a proxy architecture for datacenter networks
A self-organized, fault-tolerant and scalable replication scheme for cloud storage
ByteMQ: A Cloud-native Streaming Data Layer in ByteDance
Cauchy: A Cost-Efficient LLM Serving System through Adaptive Heterogeneous Deployment
Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks
Hermod: principled and practical scheduling for serverless functions
Falkirk Wheel: Rollback Recovery for Dataflow Systems
A Bootstrapping Technique for Reducing the Costs of Machine Learning Models for Predicting Execution Times in IaaS Clouds
How to fight production incidents?: an empirical study on a large-scale cloud service
No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics
DAIET: a system for data aggregation inside the network
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines
Plumb: Efficient Processing of Multi-User Pipelines
Characterizing serverless platforms with serverlessbench
En4S: Enabling SLOs in Serverless Storage Systems
Policy expressivity in the Anzere personal cloud
Abstract: cache management and load balancing for 5G cloud radio access networks
PaGraph: Scaling GNN training on large graphs via computation-aware caching
SpIitServe: Efficiently Splitting Complex Workloads Across FaaS and IaaS
SmartGraph: A Framework for Graph Processing in Computational Storage
Startups That Stand Out from the Cloud
Automatic management of partitioned, replicated search services
OS-Sommelier: memory-only operating system fingerprinting in the cloud
An Efficient Memory-Mapped Key-Value Store for Flash Storage
Shrec: bandwidth-efficient transaction relay in high-throughput blockchain systems
Demystifying the Fight Against Complexity: A Comprehensive Study of Live Debugging Activities in Production Cloud Systems
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, Santa Cruz, CA, USA, November 20-23, 2019
A Fast, Efficient, and Strongly-Consistent Object Store
Optasia: A Relational Platform for Efficient Large-Scale Video Analytics
Towards a Lightweight Sidecar-based Service Mesh for Serverless
Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems
Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond
Proceedings of the ACM Symposium on Cloud Computing, Seattle, WA, USA, November 3-5, 2014
dJay: enabling high-density multi-tenancy for cloud gaming servers with dynamic cost-benefit GPU load balancing
Differential virtual time (DVT): rethinking I/O service differentiation for virtual machines
Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks
DC-DRF: Adaptive Multi-Resource Sharing at Public Cloud Scale
Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters
No data left behind: real-time insights from a complex data ecosystem
Accelerating large-scale distributed neural network training with SPMD parallelism
Near-Lossless Gradient Compression for Data-Parallel Distributed DNN Training
Particle: ephemeral endpoints for serverless networking
Scaling Blockchains Using Pipelined Execution and Sparse Peers
ScootR: Scaling R Dataframes on Dataflow Systems
Hybris: Robust Hybrid Cloud Storage
Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost
A case for using cache line deltas for high frequency VM snapshotting
The Case for RackOut: Scalable Data Serving Using Rack-Scale Systems
Towards GPU Memory Efficiency for Distributed Training at Scale
KVS: high-efficiency kernel-level virtual switch
CapNet: security and least authority in a capability-enabled cloud
Confidential Analytics with Scylla
Netco: Cache and I/O Management for Analytics over Disaggregated Stores
DIMMer: A case for turning off DIMMs in clouds
Titan: a scheduler for foundation model fine-tuning workloads
Isopod: An Expressive DSL for Kubernetes Configuration
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
Narrowing the Gap Between Serverless and its State with Storage Functions
Sayer: Using Implicit Feedback to Optimize System Policies
Cuckoo: Deadline-Aware Job Packing on Heterogeneous GPUs for DL Model Training
10Cache: Heterogeneous Resource-Aware Tensor Caching and Migration for LLM Training
Heterogeneity and dynamicity of clouds at scale: Google trace analysis
Securing a Multiprocessor KVM Hypervisor with Rust
PnM: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services
Revisiting State Machine Replication in Practice: Lessons from Building an etcd-inspired System
CloudLEGO: scalable cross-VM-type application performance prediction
Memory Management in Complex Join Queries: A Re-evaluation Study
Using vector interfaces to deliver millions of IOPS from a networked key-value storage server
To edge or not to edge?
The Case for Drill-Ready Cloud Computing
KACE: Kernel-Aware Colocation for Efficient GPU Spatial Sharing
A policy-based system for dynamic scaling of virtual machine memory reservations
FastLane: making short flows shorter with agile drop notification
The wisdom of virtual crowds: mining datacenter telemetry to collaboratively debug performance
Elastic Hyperparameter Tuning on the Cloud
Go, server, go!: parallel computing with moving servers
Sketches of space: ownership accounting for shared storage
Water Footprint of Datacenter Applications: Methodological Implications of Manufacturing, Operational, and Decommissioning Phases
Zorro: zero-cost reactive failure recovery in distributed graph processing
Function as a Function
An implementation of fast memset() using hardware accelerators: extended abstract
Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling
ShadeNF: A Platform for Online Network Function Verification
DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server Systems
Client-centric benchmarking of eventual consistency for cloud storage systems
Serverless Elasticsearch: the Architecture Transformation from Stateful to Stateless
Syndicate: democratizing cloud storage and caching through service composition
Memory footprint matters: efficient equi-join algorithms for main memory data processing
ByteSeries: an in-memory time series database for large-scale monitoring systems
SuperCloud: economical cloud service on multiple vendors
Software-defined caching: managing caches in multi-tenant data centers
ALAP: Intent-Based Serverless Computing via Delayed Decision-Making
Skew-resistant parallel processing of feature-extracting scientific user-defined functions
Middlebox: Unlocking Datacenter Growth and Grid Decarbonization
Rethinking Tiered Memory Management in Cloud Data Centers
Improving large graph processing on partitioned graphs in the cloud
Revisiting performance in big data systems: an resource decoupling approach
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning
Provisioning Differentiated Last-Level Cache Allocations to VMs in Public Clouds
IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge Servers
Paxos Quorum Leases: Fast Reads Without Sacrificing Writes
Kubernetes and the path to cloud native
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System
CIS: Checkpointed Inference for Data Drift-Resilient Model Serving at Edge Servers
Quadrant: a cloud-deployable NF virtualization platform
GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing
Automated debugging in data-intensive scalable computing
Memory-efficient groupby-aggregate using compressed buffer trees
APUS: fast and scalable paxos on RDMA
Adaptive Stream Processing using Dynamic Batch Sizing
DLSH: a distribution-aware LSH scheme for approximate nearest neighbor query in cloud computing
I Heard It through the Firewall: Exploiting Cloud Management Services as an Information Leakage Channel
ALIAS: scalable, decentralized label assignment for data centers
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments
Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms
GridGreen: Integrating Serverless Computing in HPC Systems for Performance and Sustainability
Achieving cost-efficient, data-intensive computing in the cloud
AutoBurst: Autoscaling Burstable Instances for Cost-effective Latency SLOs
Streamlining Cloud-Native Application Development and Deployment with Robust Encapsulation
Wide-area streaming analytics: distributing the data cube
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks
Towards a general framework for secure MapReduce computation on hybrid clouds
Towards an emergency edge supercloud
Towards a Library for Deterministic Failure Testing of Distributed Systems
PipeGen: Data Pipe Generator for Hybrid Analytics
Distributed resource management across process boundaries
Vagabond: Dynamic Network Endpoint Reconfiguration in Virtualized Environments
Hytrace: a hybrid approach to performance bug diagnosis in production cloud infrastructures
Byways: High-Performance, Isolated Network Functions for Multi-Tenant Cloud Servers
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud
FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling
High performance clustering of social images in a map-collective programming model
Pregelix: dataflow-based big graph analytics
Making edge-computing resilient
Kairos: Preemptive Data Center Scheduling Without Runtime Estimates
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training
Occam's Razor for Distributed Protocols
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics
Influence-based provenance for dataflow applications with taint propagation
PerfMon: Performance Monitoring of Host Network Stack
Efficient and consistent replication for distributed logs
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving
Metis: A Non-Clairvoyant, Workflow-Aware OS Scheduler for Serverless Applications
tf.data service: A Case for Disaggregating ML Input Data Processing
Incentivizing self-capping to increase cloud utilization
Lessons from Large-Scale Software as a Service at Databricks
The potential dangers of causal consistency and an explicit solution
Siren: Byzantine-robust Federated Learning via Proactive Alarming
BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud
Kraken: Adaptive Container Provisioning for Deploying Dynamic DAGs in Serverless Platforms
Anticipatory Resource Allocation for ML Training
BestConfig: tapping the performance potential of systems via automatic configuration tuning
The case for PIQL: a performance insightful query language
Exploiting iterative-ness for parallel ML computations
Towards a performance-as-a-service cloud
Balancing reducer skew in MapReduce workloads using progressive sampling
Making cloud intermediate data fault-tolerant
CoScan: cooperative scan sharing in the cloud
Dynamic Performance Profiling of Cloud Caches
TEE-KV: Secure Immutable Key-Value Store for Trusted Execution Environments
Long-term SLOs for reclaimed cloud computing resources
DuoAdmit: Dual-Layer Cache Admission for Load-Balancing Hybrid-Redundancy Block Storage
The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba Trace
Dynamic Idle Resource Leasing To Safely Oversubscribe Capacity At Meta
Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud
FedDance: Efficient Participant Selection for Federated Learning in Highly Dynamic Environments
G-Store: a scalable data store for transactional multi key access in the cloud
Uncertainty Propagation in Data Processing Systems
Understanding Diffusion Model Serving in Production: A Top-Down Analysis of Workload, Scheduling, and Resource Efficiency
RIOS: Runtime Integrated Optimizer for Spark
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks
Online Profiling and Adaptation of Quality Sensitivity for Internet Video
Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS
Mitigating traffic-based side channel attacks in bandwidth-efficient cloud storage
Orbe: scalable causal consistency using dependency matrices and physical clocks
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017
PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training
COLO: COarse-grained LOck-stepping virtual machines for non-stop service
Photons: lambdas on a diet
Randomized Algorithms for Dynamic Storage Load-Balancing
Accelerating range queries of primary and secondary indices for key-value separation
Latency-Aware Dynamic Server and Cooling Capacity Provisioner for Data Centers
A case for dual stack virtualization: consolidating HPC and commodity applications in the cloud
From Bottleneck to Breakthrough: Optimizing Scheduling for Hyperscale Containerized Clusters
Comet: batched stream processing for data intensive distributed computing
INS: Identifying and Mitigating Performance Interference in Clouds via Interference-Sensitive Paths
DEDIS: distributed exact deduplication for primary storage infrastructures
CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks
Distributed Autonomous Virtual Resource Management in Datacenters Using Finite-Markov Decision Process
Harnessing data loss with forgetful data structures
Introducing service-level awareness in the cloud
Vessels: efficient and scalable deep learning prediction on trusted processors
Mutant: Balancing Storage Cost and Latency in LSM-Tree Data Stores
Stratus: cost-aware container scheduling in the public cloud
CPU-Limits kill Performance: Time to rethink Resource Control
Automating Distributed Partial Aggregation
ZipBatch: Multi-Tenant GPU Batching with Dual-Resource Regulation
3MileBeach: A Tracer with Teeth
Towards automatic parameter tuning of stream processing systems
Unikernels as Processes
Pack: Towards Communication-Efficient Homomorphic Encryption in Federated Learning
vFair: latency-aware fair storage scheduling via per-IO cost-based differentiation
Maximizing VMs' IO Performance on Overcommitted CPUs with Fairness
Probabilistic deduplication for cluster-based storage systems
Owl: performance-aware scheduling for resource-efficient function-as-a-service cloud
SLAQ: quality-driven scheduling for distributed machine learning
GreenDRL: managing green datacenters using deep reinforcement learning
Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds
Achieving low latency in public edges by hiding workloads mutual interference
Is Machine Learning Necessary for Cloud Resource Usage Forecasting?
VWeiST: A Scalable and Efficient Proof-of-Stake Blockchain Consensus
Auto-Scaling with Apprenticeship Learning
Gosig: a scalable and high-performance byzantine consensus for consortium blockchains
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach
Building facebook: performance at massive scale
DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems
Automating Failure Testing Research at Internet Scale
Krios: Scheduling Abstractions and Mechanisms for Enabling a LEO Compute Cloud
Mortar: filling the gaps in data center memory
Chitu: Accelerating Serverless Workflows with Asynchronous State Replication Pipelines
Siphon: a high-performance substrate for inter-datacenter transfers in wide-area data analytics
Ako: Decentralised Deep Learning with Partial Gradient Exchange
Proactive look-ahead control of transaction flows for high-throughput payment channel network
Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution
How good are machine learning clouds for binary classification with good features?: extended abstract
ReStream: Accelerating Backtesting and Stream Replay with Serial-Equivalent Parallel Processing
Silverline: toward data confidentiality in storage-intensive cloud applications
HELIOS: Hardware-assisted High-performance Security Extension for Cloud Networking
CloudScale: elastic resource scaling for multi-tenant cloud systems
HP-Mapper: A High Performance Storage Driver for Docker Containers
Reducing tail latencies in micro-batch streaming workloads
OptDebug: Fault-Inducing Operation Isolation for Dataflow Applications
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
Zeta: scheduling interactive services with partial execution
Kale: Elastic GPU Scheduling for Online DL Model Training
Pico replication: a high availability framework for middleboxes
Processing Java UDFs in a C++ environment
Rethinking reinforcement learning for cloud elasticity
Using data transformations for low-latency time series analysis
George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints
Early work on modeling computational sprinting
SSD QoS Improvements through Machine Learning
Wukong: a scalable and locality-enhanced framework for serverless parallel computing
Proceedings of the Sixth ACM Symposium on Cloud Computing, SoCC 2015, Kohala Coast, Hawaii, USA, August 27-29, 2015
Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics
HangFix: automatically fixing software hang bugs for production cloud systems
HotSpot: automated server hopping in cloud spot markets
Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading
Accountable Carbon Footprints and Energy Profiling For Serverless Functions
A user-level toolkit for storage I/O isolation on multitenant hosts
Composing SDN Controller Enhancements with Mozart
AKC: advanced KSM for cloud computing
High-Performance Multi-Rail Erasure Coding Library over Modern Data Center Architectures: Early Experiences
Linear Quadratic Regulator for Resource-Efficient Cloud Services
Serverless linear algebra
Gödel: Unified Large-Scale Resource Management and Scheduling at ByteDance
Secure Namespaced Kernel Audit for Containers
Cuanta: quantifying effects of shared on-chip resource interference for consolidated virtual machines
Queue Management for SLO-Oriented Large Language Model Serving
Prometheus: online estimation of optimal memory demands for workers in in-memory distributed computation
mBalloon: enabling elastic memory management for big data processing
Drishti: Disaggregated and Interoperable Security Analytics Framework for Cloud
Logic and lattices for distributed programming
BASS: Improving I/O Performance for Cloud Block Storage via Byte-Addressable Storage Stack
Bolt-On Global Consistency for the Cloud
Valet: Efficient Data Placement on Modern SSDs
CloudSSI: revisiting SSI in cloud era
Practical whole-system provenance capture
LatenSeer: Causal Modeling of End-to-End Latency Distributions by Harnessing Distributed Tracing
alsched: algebraic scheduling of mixed workloads in heterogeneous clouds
Data-Driven Resource Shaping for Compute Clusters
Follow the Sun through the Clouds: Application Migration for Geographically Shifting Workloads
Is It Time To Put Cold Starts In The Deep Freeze?
Towards Weakly Consistent Local Storage Systems
Improving per-node efficiency in the datacenter with new OS abstractions
Dynamic and Decentralized Global Analytics via Machine Learning
EventWave: programming model and runtime support for tightly-coupled elastic cloud applications
AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model Serving
Optimized on-demand data streaming from sensor nodes
Multi-Agent Reinforcement Learning with Serverless Computing
Pigeon: an Effective Distributed, Hierarchical Datacenter Job Scheduler
FileScale: Fast and Elastic Metadata Management for Distributed File Systems
Nano-consensus: Ultra-fast, Quorum-less Coordination on the Wire
Service-Level Fault Injection Testing
Lithium: virtual machine storage for the cloud
Version Reconciliation for Collaborative Databases
SQML: large-scale in-database machine learning with pure SQL
VIP: Virtual Performance-State for Efficient Power Management of Virtual Machines
All aboard the Databus!: Linkedin's scalable consistent change data capture platform
Decentralized Distributed Deep Learning in Heterogeneous WAN Environments
ApproxJoin: Approximate Distributed Joins
SIMPPO: a scalable and incremental online learning framework for serverless resource management
InferLine: latency-aware provisioning and scaling for prediction serving pipelines
Interactive data analytics: the new frontier
DyOrc: Efficient Serving of Dynamic Machine Learning Workflows
True elasticity in multi-tenant data-intensive compute clusters
Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
Bypassing the load balancer without regrets
CoRe: Collaborative Replica Scheduling for Large-Scale Cloud Database Services
Domino: understanding wide-area, asynchronous event causality in web applications
Pisces: efficient federated learning via guided asynchronous training
Auxo: Efficient Federated Learning via Scalable Client Clustering
FAAStloop: Optimizing Loop-Based Applications for Serverless Computing
Portkey: Adaptive Key-Value Placement over Dynamic Edge Networks
Hydra: Virtualized Multi-Language Runtime for High-Density Serverless Platforms
AsyFunc: A High-Performance and Resource-Efficient Serverless Inference System via Asymmetric Functions
MoEsaic: Shared Mixture of Experts
ACM Symposium on Cloud Computing, SOCC '12, San Jose, CA, USA, October 14-17, 2012
CoSpot: a cooperative VM allocation framework for increased revenue from spot instances
Switching the optical divide: fundamental challenges for hybrid electrical/optical datacenter networks
Perceptual Compression for Video Storage and Processing Systems
Small-world datacenters
On data skewness, stragglers, and MapReduce progress indicators
Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo
Hotspot Mitigations for the Masses
Offloading Cloud-Native Infrastructure with XpuPod
Database high availability using SHADOW systems
Opportunistic flooding to improve TCP transmit performance in virtualized clouds
BLAFS: A Bloat-Aware Container File System
Perphon: a ML-based Agent for Workload Co-location via Performance Prediction and Resource Inference
Method overloading the circuit
KVSEV: A Secure In-Memory Key-Value Store with Secure Encrypted Virtualization
Comparing SSD-placement strategies to scale a database-in-the-cloud
The ASF+SDF Meta-environment: A Component-Based Language Development Environment
Register Allocation and Optimal Spill Code Scheduling in Software Pipelined Loops Using 0-1 Integer Linear Programming Formulation
Flow Logics for Constraint Based Analysis
Compiling Adaptive Programs by Partial Evaluation
Advanced Compiler Optimization for Calm RISC8 Low-End Embedded Processor
deGoal a Tool to Embed Dynamic Code Generators into Applications
Clog: A Declarative Language for C Static Code Checkers
Compiler Construction, 19th International Conference, CC 2010, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 20-28, 2010. Proceedings
Virtual Classes and Their Implementation
The INDIA Lexic Generator
CBMC-GC: An ANSI C Compiler for Secure Two-Party Computations
Rethinking compilers in the rise of machine learning and AI (keynote)
Design-Driven Compilation
A Generator for Production Quality Compilers
Lazy Evaluation for the Lazy: Automatically Transforming Call-by-Value into Call-by-Need
TRAPing Modelica with Python
Compiler Construction, 13th International Conference, CC 2004, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2004, Barcelona, Spain, March 29 - April 2, 2004, Proceedings
PGZ: automatic zero-value code specialization
The sparse tensor algebra compiler (keynote)
Tiger - An Interpreter Generation Tool