yusuke1997/dblp-id-title huggingface dataset:
ActiveSLA: a profit-oriented admission control framework for database-as-a-service providers
CoMPI: Coordinated Model Merging and Parallel Inference at Edge
Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud
SoCC '21: ACM Symposium on Cloud Computing, Seattle, WA, USA, November 1 - 4, 2021
Oneiros: KV Cache Optimization through Parameter Remapping for Multi-tenant LLM Serving
SLO Computational Sprinting
AidOps: a data-driven provisioning of high-availability services in cloud
Untethered: Deployable Blockchains for IoT Environments
Pesto: online storage performance management in virtualized datacenters
Fault-tolerant industrial automation as a cloud service
Funky: Cloud-Native FPGA Virtualization and Orchestration
Scheduling Cloud VMs on Variable Capacity Datacenters
ReproLite: A Lightweight Tool to Quickly Reproduce Hard System Bugs
Extending modern PaaS clouds with BSP to execute legacy MPI applications
Simple and efficient coupling of Hadoop with a database engine
Lorien: Efficient Deep Learning Workloads Delivery
Scrooge: A Cost-Effective Deep Learning Inference System
Cost-Efficient Cloud Infrastructure with Hugepage-aware Memory Deduplication
Stateful bulk processing for incremental analytics
Improving the accuracy, adaptability, and interpretability of SSD failure prediction models
Fast and Accurate Optimizer for Query Processing over Knowledge Graphs
PGPregel: an end-to-end system for privacy-preserving graph processing in geo-distributed data centers
CATS: a linearizable and self-organizing key-value store
SHOWAR: Right-Sizing And Efficient Scheduling of Microservices
Multiplexed Heterogeneous LLM Serving via Stage-Aligned Parallelism
Remote memory in the age of fast networks
Consistency without borders
Incoop: MapReduce for incremental computations
On the Control Plane of a Self-service Cloud Platform
Overload Control for Scaling WeChat Microservices
Komet: A Serverless Platform for Low-Earth Orbit Edge Services
Good Things Come to Those Who Wait: Optimizing Job Waiting in the Cloud
Multi-Query Optimization in Wide-Area Streaming Analytics
Fluxo: a system for internet service programming by non-expert developers
IncBoost: Scaling Incremental Graph Processing for Edge Deletions and Weight Updates
Elasecutor: Elastic Executor Scheduling in Data Analytics Systems
Understanding and mitigating the impact of load imbalance in the memory caching tier
Building smart memories and high-speed cloud services for the internet of things with derecho
Apache Hadoop YARN: yet another resource negotiator
Online parameter optimization for elastic data stream processing
Peregrine: Workload Optimization for Cloud Query Engines
Hermes: clustering users in large-scale e-mail services
Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design
Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores
Hy-FiX: Fast In-place upgrade of KVM hypervisors
Bridging the tenant-provider gap in cloud services
PrIter: a distributed framework for prioritized iterative computations
Energy proportionality and workload consolidation for latency-critical applications
Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments
Distributed shared persistent memory
Towards a comprehensive performance model of virtual machine live migration
The case for synchronous distributed protocols in public clouds
Adaptive partitioning for large-scale dynamic graphs
Latency reduction and load balancing in coded storage systems
XDB: a novel database architecture for data analytics as a service
Accelerating Distributed Filesystem Metadata Service via Decoupling Directory Semantics from Metadata Indexing
Expeditus: Congestion-aware Load Balancing in Clos Data Center Networks
Connected Components in MapReduce and Beyond
RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-based Deduplication Systems
Sequoia: enabling quality-of-service in serverless computing
Debugging Distributed Systems with Why-Across-Time Provenance
TMC: Near-Optimal Resource Allocation for Tiered-Memory Systems
Multi-tenant Isolation of What?: Building a Secure Tenant Isolation Architecture for Cloud Networks
Secure data types: a simple abstraction for confidentiality-preserving data analytics
TailClipper: Reducing Tail Response Time of Distributed Services Through System-Wide Scheduling
User Disengagement-Oriented Target Enforcement for Multi-Tenant Database Systems
Cloud-native Workflow Scheduling using a Hybrid Priority Rule, Dynamic Resource Allocation, and Dynamic Task Partition
ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
GSLICE: controlled spatial sharing of GPUs for a scalable inference platform
uIO: Lightweight and Extensible Unikernels
The Curious Case of Container Orchestration and Scheduling in GPU-based Datacenters
Multivariate Anomaly Detection with Domain Clustering
Peafowl: in-application CPU scheduling to reduce power consumption of in-memory key-value stores
Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-Constrained Edge Clouds
Generalized resource allocation for the cloud
Leveraging application classes to save power in highly-utilized data centers
RangeQC: A Framework for Caching Range Predicate Query Results
Cloud-Native Digital Twin Orchestration for Real-Time Decision Optimization Using Fuzzy Constraints and Reinforcement Learning
Scalable and Fault-Tolerant Storage and File System Services with Non-Blocking Synchronization for Private Clouds
Sprocket: A Serverless Video Processing Framework
Lasagna: Accelerating Secure Deep Learning Inference in SGX-enabled Edge Cloud
The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling
High performance in-memory caching through flexible fine-grained services
How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning
CloudNaaS: a cloud networking platform for enterprise applications
QFrag: distributed graph search via subgraph isomorphism
Collaborative Edge-Cloud and Edge-Edge Video Analytics
Distributed Training of Large Language Models on AWS Trainium
Process-as-a-Service: Unifying Elastic and Stateful Clouds with Serverless Processes
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale
WormSpace: A Modular Foundation for Simple, Verifiable Distributed Systems
Cryonics: Trustworthy Function-as-a-Service using Snapshot-based Enclaves
DCUDA: Dynamic GPU Scheduling with Live Migration Support
Cloud-native workflow scheduling using a hybrid priority rule and dynamic task parallelism
iQCAR: Inter-Query Contention Analyzer
Query optimization for massively parallel data processing
DFUSE: Strongly Consistent Write-Back Kernel Caching for Distributed Userspace File Systems
ShardFS vs. IndexFS: replication vs. caching strategies for distributed metadata management in cloud storage systems
Analysis of and Optimization for Write-dominated Hybrid Storage Nodes in Cloud
Trustable virtual machine scheduling in a cloud
Virtual machine power metering and provisioning
Exploring memory locality for big data analytics in virtualized clusters
Want more unikernels?: inflate them!
Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approach
Characterizing cloud computing hardware reliability
STYX: Stream Processing with Trustworthy Cloud-based Execution
Cascade Mapping: Optimizing Memory Efficiency for Flash-based Key-value Caching
Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis
Adaptive Caching in Big SQL using the HDFS Cache
Vote Them Out: Detecting and Eliminating Byzantine Peers
Rethinking the Networking Stack for Serverless Environments: A Sidecar Approach
ServerMore: Opportunistic Execution of Serverless Functions in the Cloud
FLASH: Fast Linked AF_XDP Sockets for High Performance Network Function Chains
Parslo: A Gradient Descent-based Approach for Near-optimal Partial SLO Allotment in Microservices
Fragola: low-latency transactions in distributed data stores
ParaLog: Consistent Host-side Logging for Parallel Checkpoints
PBSE: a robust path-based speculative execution for degraded-network tail tolerance in data-parallel frameworks
Does RDMA-based enhanced Hadoop MapReduce need a new performance model?
GraM: scaling graph computation to the trillions
Rejig: A Scalable Online Algorithm for Cache Server Configuration Changes
Automatically detecting risky scripts in infrastructure code
DSwitch: a dual mode direct and network attached disk
Disaggregated operating system
The nearest replica can be farther than you think
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
vPipe: Piped I/O Offloading for Efficient Data Movement in Virtualized Clouds
How consistent is your cloud application?
On-demand virtualization for live migration in bare metal cloud
Scheduling jobs across geo-distributed datacenters
InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment
ACM Symposium on Cloud Computing, SOCC '13, Santa Clara, CA, USA, October 1-3, 2013
Parrotfish: Parametric Regression for Optimizing Serverless Functions
Evaluating the impact of fine-scale burstiness on cloud elasticity
Distributed programming and consistency: principles and practice
Automated software testing as a service
Understanding issue correlations: a case study of the Hadoop system
Zero-SAD: Zero-Shot Learning Using Synthetic Abnormal Data for Abnormal Behavior Detection on Private Cloud
WITCAT: A Workload Spike Targeted Cloud Management Solution
Leveraging sharding in the design of scalable replication protocols
Scaling the mobile millennium system in the cloud
Metaverse as a Service: Megascale Social 3D on the Cloud
VNToR: Network Virtualization at the Top-of-Rack Switch
The Gap Between Serverless Research and Real-world Systems
FSP: towards flexible synchronous parallel framework for expectation-maximization based algorithms on cloud
pRedis: Penalty and Locality Aware Memory Allocation in Redis
Application-Agnostic Batch Workload Management in Cloud Environments
DFS-container: achieving containerized block I/O for distributed file systems
QFaaS: accelerating and securing serverless cloud networks with QUIC
Harmony: coordinating network, compute, and storage in software-defined clouds
Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture
WedgeDB: Transaction Processing for Edge Databases
Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems
Defragmentation Scheduling with Deep Reinforcement Learning in Shared GPU Clusters
Demeter: QoS-aware CPU scheduling to reduce power consumption of multiple black-box workloads
FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms
BigDL: A Distributed Deep Learning Framework for Big Data
Challenges and solutions for fast remote persistent memory access
vTube: efficient streaming of virtual appliances over last-mile networks
Reducing replication bandwidth for distributed document databases
GentleRain: Cheap and Scalable Causal Consistency with Physical Clocks
Preserving I/O prioritization in virtualized OSes
PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems
HIL: Designing an Exokernel for the Data Center
Proceedings of the 2025 ACM Symposium on Cloud Computing, SoCC 2025, Online, USA, November 19-21, 2025
Merlin: Application- and Platform-aware Resource Allocation in Consolidated Server Systems
Rethinking State Management in Actor Systems for Cloud-Native Applications
ConMonitor: Lightweight Container Protection with Virtualization and VM Functions
A Comparison of End-to-End Decision Forest Inference Pipelines
Job-aware Scheduling in Eagle: Divide and Stick to Your Probes
A machine learning approach to live migration modeling
Grandet: A Unified, Economical Object Store for Web Applications
WorkloadCompactor: reducing datacenter cost while providing tail latency SLO guarantees
Disciplined Inconsistency with Consistency Types
Dissecting Overheads of Service Mesh Sidecars
FaaSGNN: Enabling Memory Efficient and Low Latency GNN Inference Services with Serverless Computing
Yama: Providing Performance Isolation for Black-Box Offloads
Scalable lineage capture for debugging DISC analytics
Lever: towards low-latency batched stream processing by pre-scheduling
On fault resilience of OpenStack
Orcas: A DAG-based Consensus Approach with Linear Communication Overhead
PCLive: Pipelined Restoration of Application Containers for Reduced Service Downtime
What Bugs Live in the Cloud? A Study of 3000+ Issues in Cloud Systems
Hops: Fine-grained heterogeneous sensing, efficient and fair Deep Learning cluster scheduling system
Workload analysis and caching strategies for search advertising systems
Libra and the Art of Task Sizing in Big-Data Analytic Systems
jVerbs: ultra-low latency for data center applications
Mitigating multi-tenant interference on mobile offloading servers: poster abstract
Experimental Evaluation of Sketching Techniques for Big Spatial Data
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, Santa Cruz, CA, USA, 30 October 2023 - 1 November 2023
Mining microservice design patterns
Dynamic performance profiling of cloud caches
Scheduling CPU for GPU-based Deep Learning Jobs
Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications
KOLE: breaking the scalability barrier for managing far edge nodes in cloud
Small cache, big effect: provable load balancing for randomly partitioned cluster services
Baoverlay: a block-accessible overlay file system for fast and efficient container storage
Faascale: Scaling MicroVM Vertically for Serverless Computing with Memory Elasticity
Practical Cloud Workloads for Serverless FaaS
Managed communication and consistency for fast data-parallel iterative analytics
Open source cloud technologies
The Freeze-Frame File System
Decentralized privacy protection strategies for location-based services
Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization
Tolerating business failures in hosted applications
Tarcil: reconciling scheduling speed and quality in large shared clusters
Arax: a runtime framework for decoupling applications from heterogeneous accelerators
An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications
UNO: uniflying host and smart NIC offload for flexible packet processing
YCSB++: benchmarking and performance debugging advanced features in scalable table stores
Scale-up vs scale-out for Hadoop: time to rethink?
STeP: Scalable Tenant Placement for Managing Database-as-a-Service Deployments
Batch spot market for data analytics cloud providers
Coupling Decentralized Key-Value Stores with Erasure Coding
Microsoft azure SQL database telemetry
PipeCloud: using causality to overcome speed-of-light delays in cloud-based disaster recovery
Automating instrumentation choices for performance problems in distributed applications with VAIF
Forecasting the cost of processing multi-join queries via hashing for main-memory databases
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems
Elastic parameter server load distribution in deep learning clusters
Network Scheduling in the Dark
MemcachedGPU: scaling-up scale-out key-value stores
Declarative automated cloud resource orchestration
Centralized Core-granular Scheduling for Serverless Functions
Availability Knob: Flexible User-Defined Availability in the Cloud
Towards Reliable AI for Source Code Understanding
THORN-ML: Transparent Hardware Offloaded Resilient Networks for RDMA based Distributed ML Workloads
Tales of the Tail: Hardware, OS, and Application-level Sources of Tail Latency
When the network crumbles: an empirical study of cloud network failures and their impact on services
Privacy Preserving Collaboration in Bring-Your-Own-Apps
Virtual network diagnosis as a service
Does your fault-tolerant system tolerate faults?
Memory Matters: Load-Time Deduplication for Unikernels
Scalable and Reliable RDMA
An efficient multi-tier tablet server storage architecture
Resource Profile Advisor for Containers in Cognitive Platform
Characterizing, modeling, and generating workload spikes for stateful services
A Case for Virtualizing Persistent Memory
Untangling cluster management with Helix
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters
Optimizing Interactive Development of Data-Intensive Applications
Search lookaside buffer: efficient caching for index data structures
Golgi: Performance-Aware, Resource-Efficient Function Scheduling for Serverless Computing
Cloud-Scale Runtime Verification of Serverless Applications
VLCs: Managing Parallelism with Virtualized Libraries
Spatio-Temporal Resource Control for Cloud-Native GPU Provisioning
Making time-stepped applications tick in the cloud
A System-Wide Debugging Assistant Powered by Natural Language Processing
Towards verifiable metering for database as a service providers
DOT: a matrix model for analyzing, optimizing and deploying software for big data analytics in distributed systems
Fast and Accurate Load Balancing for Geo-Distributed Storage Systems
Writes hurt: lessons in cache design for optane NVRAM
tprof: Performance profiling via structural aggregation and automated analysis of distributed systems traces
Tutamen: A Next-Generation Secret-Storage Platform
Google fusion tables: data management, integration and collaboration in the cloud
Scheduling for Reduced Tail Task Latencies in Highly Utilized Datacenters
Kappa: a programming framework for serverless computing
Natjam: design and evaluation of eviction policies for supporting priorities and deadlines in mapreduce clusters
RACS: a case for cloud storage diversity
Trisk: Task-Centric Data Stream Reconfiguration
CQSTR: Securing Cross-Tenant Applications with Cloud Containers
On-demand and Parallel Checkpoint/Restore for GPU Applications
Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling
Software Data Planes: You Can't Always Spin to Win
Leveraging data deduplication to improve the performance of primary storage systems in the cloud
SNC-Meister: Admitting More Tenants with Tail Latency SLOs
SURE: Secure Unikernels Make Serverless Computing Rapid and Efficient
TianMen: a DPU-based storage network offloading structure for disaggregated datacenters
Potassium: penetration testing as a service
Trojan data layouts: right shoes for a running elephant
LSM-tree managed storage for large-scale key-value store
FAST: near real-time data analytics for the cloud
Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments
Securing Data in Compromised Clouds
Centiman: elastic, high performance optimistic concurrency control by watermarking
Sailfish: a framework for large scale data processing
Mithril: mining sporadic associations for cache prefetching
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications
Concury: a fast and light-weight software cloud load balancer
Network resource management as a database problem
RAMinate: Hypervisor-based Virtualization for Hybrid Main Memory Systems
Principled workflow-centric tracing of distributed systems
Bridging the architectural gap between NOS design principles in software-defined networks
VMShadow: optimizing the performance of virtual desktops in distributed clouds
Resilient cloud in dynamic resource environments
FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments
Network-accelerated distributed machine learning for multi-tenant settings
Baechi: fast device placement of machine learning graphs
Recommending just enough memory for analytics
Compiling machine learning algorithms with SystemML
TagSniff: Simplified Big Data Debugging for Dataflow Jobs
Benchmarking cloud serving systems with YCSB
Rethinking Web Cache Design for the AI Era
libVNF: Building Virtual Network Functions Made Easy
H2C-Dedup: Reducing I/O and GC Amplification for QLC SSDs from the Deduplication Metadata Perspective
Racos: Improving Erasure Coding State Machine Replication using Leaderless Consensus
Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
To cloud or not to cloud?: musings on costs and viability
C-Hint: An Effective and Reliable Cache Management for RDMA-Accelerated Key-Value Stores
OneEdge: An Efficient Control Plane for Geo-Distributed Infrastructures
Atoll: A Scalable Low-Latency Serverless Platform
Memory-Oriented Distributed Computing at Rack Scale
Characterizing and orchestrating VM reservation in geo-distributed clouds to improve the resource efficiency
Building GPU TEEs using CPU Secure Enclaves with GEVisor
Small is better: avoiding latency traps in virtualized data centers
FastMR: fast processing for large distributed data streams
The power of prediction: microservice auto scaling via workload learning
The internal design of salesforce.com's multi-tenant architecture
Transparent, Live Migration of a Software-Defined Network
Indy: a software system for the dense cloud
SoCC '20: ACM Symposium on Cloud Computing, Virtual Event, USA, October 19-21, 2020
On Merits and Viability of Multi-Cloud Serverless
PoWER: prediction of workload for energy efficient relocation of virtual machines
REEF: Energy-Efficient, Application-QoS-Aware Thread Processing in Oversubscribed Server Environments
Oblivious Paxos: Privacy-Preserving Consensus Over Secret-Shares
Proceedings of the Seventh ACM Symposium on Cloud Computing, Santa Clara, CA, USA, October 5-7, 2016
Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access
SQLStateGuard: Statement-Level SQL Injection Defense Based on Learning-Driven Middleware
Using batteries to reduce the power costs of internet-scale distributed networks
Radiatus: a Shared-Nothing Server-Side Web Architecture
Coloring the cloud for predictable performance
A ML-based Runtime System for Executing Dataflow Graphs on Heterogeneous Processors
Wharf: Sharing Docker Images in a Distributed File System
The Hidden Carbon Footprint of Serverless Computing
Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale
Exploiting speculation in partially replicated transactional data stores
Symbiosis: Multi-Adapter Inference and Fine-Tuning
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2018, Carlsbad, CA, USA, October 11-13, 2018
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale
Flame: Simplifying Topology Extension in Federated Learning
Cirrus: a Serverless Framework for End-to-end ML Workflows
Building Reliable Cloud Services Using Coyote Actors
STYX: a trusted and accelerated hierarchical SSL key management and distribution system for cloud based CDN application
Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications
μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in Cloud
Cake: enabling high-level SLOs on shared storage systems
Hierarchical scheduling for diverse datacenter workloads
ESCHER: expressive scheduling with ephemeral resources
Orleans: cloud computing for everyone
Stocator: an object store aware connector for apache spark
Cloud Index Tracking: Enabling Predictable Costs in Cloud Spot Markets
GraPU: Accelerate Streaming Graph Analysis through Preprocessing Buffered Updates
HyperNF: building a high performance, high utilization and fair NFV platform
More for your money: exploiting performance heterogeneity in public clouds
C-LSM: Cooperative Log Structured Merge Trees
Speedo: Fast dispatch and orchestration of serverless workflows
Job scheduling for data-parallel frameworks with hybrid electrical/optical datacenter networks
An experimental comparison of complex object implementations for big data systems
Parallax: Hybrid Key-Value Placement in LSM-based Key-Value Stores
ACM Symposium on Cloud Computing in conjunction with SOSP 2011, SOCC '11, Cascais, Portugal, October 26-28, 2011