| Dissecting Overheads of Service Mesh Sidecars |
SoCC ‘23 |
QoS |
| Gödel: Unified Large-Scale Resource Management and Scheduling at ByteDance |
SoCC ‘23 |
scheduler |
| Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture |
SoCC ‘23 |
QoS,scheduler |
| Workload consolidation in alibaba clusters: the good, the bad, and the ugly |
SoCC ‘22 |
scheduler,useless(probably) |
| KOLE: breaking the scalability barrier for managing far edge nodes in cloud |
SoCC ‘22 |
useless(probably) |
| Demeter: QoS-aware CPU scheduling to reduce power consumption of multiple black-box workloads |
SoCC ‘22 |
QoS,scheduler |
| Atoll: A Scalable Low-Latency Serverless Platform |
SoCC ‘21 |
scheduler |
| Tell me when you are sleepy and what may wake you up! |
SoCC ‘21 |
eBPF,important,scheduler |
| Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds |
SoCC ‘21 |
important,scheduler |
| Secure Namespaced Kernel Audit for Containers |
SoCC ‘21 |
|
| Speedo: Fast dispatch and orchestration of serverless workflows |
SoCC ‘21 |
useless(probably) |
| SHOWAR: Right-Sizing And Efficient Scheduling of Microservices |
SoCC ‘21 |
scheduler |
| Cloud-Scale Runtime Verification of Serverless Applications |
SoCC ‘21 |
debugger |
| Particle: ephemeral endpoints for serverless networking |
SoCC ‘20 |
QoS |
| Sequoia: enabling quality-of-service in serverless computing |
SoCC ‘20 |
QoS |
| Bypassing the load balancer without regrets |
SoCC ‘20 |
QoS |
| Perphon: a ML-based Agent for Workload Co-location via Performance Prediction and Resource Inference |
SoCC ‘19 |
important,scheduler |
| The Curious Case of Container Orchestration and Scheduling in GPU-based Datacenters |
SoCC ‘18 |
useless(probably) |
| The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba Trace |
SoCC ‘18 |
QoS,scheduler |
| DC-DRF: Adaptive Multi-Resource Sharing at Public Cloud Scale |
SoCC ‘18 |
QoS |
| Henge: Intent-driven Multi-Tenant Stream Processing |
SoCC ‘18 |
important,QoS,scheduler |
| WorkloadCompactor: reducing datacenter cost while providing tail latency SLO guarantees |
SoCC ‘17 |
QoS |
| SLO-aware colocation of data center tasks based on instantaneous processor requirements |
SoCC ‘17 |
scheduler |
| SNC-Meister: Admitting More Tenants with Tail Latency SLOs |
SoCC ‘16 |
QoS |
| Evaluating the impact of fine-scale burstiness on cloud elasticity |
SoCC ‘15 |
scheduler |
| Tarcil: reconciling scheduling speed and quality in large shared clusters |
SoCC ‘15 |
scheduler |
| PriorityMeister: Tail Latency QoS for Shared Networked Storage |
SOCC ‘14 |
useless(probably),scheduler |
| What Bugs Live in the Cloud? A Study of 3000+ Issues in Cloud Systems |
SOCC ‘14 |
useless(probably) |
| Long-term SLOs for reclaimed cloud computing resources |
SOCC ‘14 |
useless(probably) |
| Small is better: avoiding latency traps in virtualized data centers |
SOCC ‘13 |
QoS,useless(probably) |
| Pico replication: a high availability framework for middleboxes |
SOCC ‘13 |
useless(probably) |
| PoWER: prediction of workload for energy efficient relocation of virtual machines |
SOCC ‘13 |
scheduler |
| Natjam: design and evaluation of eviction policies for supporting priorities and deadlines in mapreduce clusters |
SOCC ‘13 |
scheduler |
| Zeta: scheduling interactive services with partial execution |
SoCC ‘12 |
scheduler |
| Finding Correctness Bugs in eBPF Verifier with Structured and Sanitized Program |
EuroSys ‘24 |
eBPF |
| Enoki: High Velocity Linux Kernel Scheduler Development |
EuroSys ‘24 |
important,scheduler |
| Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms |
EuroSys ‘23 |
important,scheduler |
| OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers |
EuroSys ‘23 |
QoS,scheduler |
| VMSH: hypervisor-agnostic guest overlays for VMs |
EuroSys ‘22 |
light weight VM |
| Verified programs can party: optimizing kernel extensions via post-verification merging |
EuroSys ‘22 |
eBPF,important |
| Unicorn: reasoning about configurable system performance through the lens of causality |
EuroSys ‘22 |
scheduler |
| DeepRest: deep resource estimation for interactive microservices |
EuroSys ‘22 |
scheduler |
| Performance evolution of mitigating transient execution attacks |
EuroSys ‘22 |
useless(probably) |
| SmartHarvest: harvesting idle CPUs safely and efficiently in the cloud |
EuroSys ‘21 |
scheduler |
| OFC: an opportunistic caching system for FaaS platforms |
EuroSys ‘21 |
scheduler |
| Take it to the limit: peak prediction-driven resource overcommitment in datacenters |
EuroSys ‘21 |
scheduler |
| Rhythm: component-distinguishable workload deployment in datacenters |
EuroSys ‘20 |
scheduler |
| GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks |
EuroSys ‘19 |
important,QoS,scheduler |
| RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling |
EuroSys ‘18 |
scheduler |
| Tableau: a high-throughput and predictable VM scheduler for high-density workloads |
EuroSys ‘18 |
scheduler |
| Welcome to zombieland: practical and energy-efficient memory disaggregation in a datacenter |
EuroSys ‘18 |
useless(probably) |
| TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters |
EuroSys ‘16 |
important,scheduler |
| PSLO: enforcing the Xth percentile latency and throughput SLOs for consolidated VM storage |
EuroSys ‘16 |
scheduler |
| Reconciling high server utilization and sub-millisecond quality-of-service |
EuroSys ‘14 |
QoS,important,scheduler |
| CPI2: CPU performance isolation for shared compute clusters |
EuroSys ‘13 |
isolation,scheduler |
| A Comparative Analysis of Linux Mandatory Access Control Policy Enforcement Mechanisms |
EUROSEC ‘23 |
eBPF,eBPF performance |
| Look Ma, no constants: practical constant blinding in GraalVM |
EuroSec ‘22 |
JIT编译随机化 |
| syslrn: learning what to monitor for efficient anomaly detection |
EuroMLSys ‘22 |
important |
| An Evaluation of Service Mesh Frameworks for Edge Systems |
EdgeSys ‘23 |
I/O performance,useless(probably) |
| ComB: a flexible, application-oriented benchmark for edge computing |
EdgeSys ‘22 |
useless(probably) |
| eCaaS: A Management Framework of Edge Container as a Service for Business Workload |
EdgeSys ‘21 |
useless(probably) |
| Snowflakes at the Edge: A Study of Variability among NVIDIA Jetson AGX Xavier Boards |
EdgeSys ‘21 |
useless(probably) |
| ExEC: Elastic Extensible Edge Cloud |
EdgeSys ‘19 |
useless(probably) |
| QoS-based Cloud Application Management: Approach and Architecture |
Crosscloud’17 |
QoS |
| Performance Characterization of Modern Storage Stacks: POSIX I/O, libaio, SPDK, and io_uring |
CHEOPS ‘23 |
I/O performance |