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Improving Resource Efficiency at Scale with Heracles
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4614-1406-3_2openalex-snapshot
Introduction to Network Simulator 2 (NS2)
inferredcites →https://doi.org/10.1016/j.jpdc.2010.10.013openalex-snapshot
CoQoS: Coordinating QoS-aware shared resources in NoC-based SoCs
inferredcites →https://doi.org/10.1109/ccgrid.2011.56openalex-snapshot
Improving Utilization of Infrastructure Clouds
inferredcites →https://doi.org/10.1109/dasc.2011.87openalex-snapshot
A Measurement Study of Server Utilization in Public Clouds
inferredcites →https://doi.org/10.1109/hpca.2008.4658633openalex-snapshot
System level analysis of fast, per-core DVFS using on-chip switching regulators
inferredcites →https://doi.org/10.1109/hpca.2008.4658653openalex-snapshot
Gaining insights into multicore cache partitioning: Bridging the gap between simulation and real systems
inferredcites →https://doi.org/10.1109/hpca.2010.5463056openalex-snapshot
Worth their watts? - an empirical study of datacenter servers
inferredcites →https://doi.org/10.1109/hpca.2012.6168955openalex-snapshot
System-level implications of disaggregated memory
inferredcites →https://doi.org/10.1109/iiswc.2014.6983037openalex-snapshot
Tradeoffs between power management and tail latency in warehouse-scale applications
inferredcites →https://doi.org/10.1109/isca.2014.6853235openalex-snapshot
SleepScale: Runtime joint speed scaling and sleep states management for power efficient data centers
inferredcites →https://doi.org/10.1109/ispass.2014.6844459openalex-snapshot
A Top-Down method for performance analysis and counters architecture
inferredcites →https://doi.org/10.1109/mascots.2012.21openalex-snapshot
Solving the TCP-Incast Problem with Application-Level Scheduling
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1109/micro.2006.49openalex-snapshot
Utility-Based Cache Partitioning: A Low-Overhead, High-Performance, Runtime Mechanism to Partition Shared Caches
inferredcites →https://doi.org/10.1109/micro.2014.53openalex-snapshot
SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers
inferredcites →https://doi.org/10.1109/mm.2012.22openalex-snapshot
Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up
inferredcites →https://doi.org/10.1109/tc.2010.63openalex-snapshot
Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture
inferredcites →https://doi.org/10.1109/wpmc.2002.1088344openalex-snapshot
Starvation prevention and quality of service in wireless LANs
inferredcites →https://doi.org/10.1145/1152154.1152161openalex-snapshot
Communist, utilitarian, and capitalist cache policies on CMPs
inferredcites →https://doi.org/10.1145/1254882.1254886openalex-snapshot
QoS policies and architecture for cache/memory in CMP platforms
inferredcites →https://doi.org/10.1145/1402946.1402967openalex-snapshot
A scalable, commodity data center network architecture
inferredcites →https://doi.org/10.1145/1402958.1402967openalex-snapshot
A scalable, commodity data center network architecture
inferredcites →https://doi.org/10.1145/1735970.1736058openalex-snapshot
Fairness via source throttling
inferredcites →https://doi.org/10.1145/1736020.1736058openalex-snapshot
Fairness via source throttling
inferredcites →https://doi.org/10.1145/1815961.1816002openalex-snapshot
Web search using mobile cores
inferredcites →https://doi.org/10.1145/1816038.1816002openalex-snapshot
Web search using mobile cores
inferredcites →https://doi.org/10.1145/2000064.2000099openalex-snapshot
The impact of memory subsystem resource sharing on datacenter applications
inferredcites →https://doi.org/10.1145/2000064.2000103openalex-snapshot
Power management of online data-intensive services
inferredcites →https://doi.org/10.1145/2000064.2000108openalex-snapshot
Dark silicon and the end of multicore scaling
inferredcites →https://doi.org/10.1145/2155620.2155664openalex-snapshot
Reducing memory interference in multicore systems via application-aware memory channel partitioning
inferredcites →https://doi.org/10.1145/2228360.2228513openalex-snapshot
A QoS-aware memory controller for dynamically balancing GPU and CPU bandwidth use in an MPSoC
inferredcites →https://doi.org/10.1145/2366231.2337164openalex-snapshot
Towards energy-proportional datacenter memory with mobile DRAM
inferredcites →https://doi.org/10.1145/2366231.2337208openalex-snapshot
Probabilistic shared cache management (PriSM)
inferredcites →https://doi.org/10.1145/2391229.2391236openalex-snapshot
Heterogeneity and dynamicity of clouds at scale
inferredcites →https://doi.org/10.1145/2485922.2485926openalex-snapshot
Thin servers with smart pipes
inferredcites →https://doi.org/10.1145/2485922.2485949openalex-snapshot
A hardware evaluation of cache partitioning to improve utilization and energy-efficiency while preserving responsiveness
inferredcites →https://doi.org/10.1145/2592798.2592821openalex-snapshot
Reconciling high server utilization and sub-millisecond quality-of-service
inferredcites →https://doi.org/10.1145/2670979.2670999openalex-snapshot
Long-term SLOs for reclaimed cloud computing resources
inferredcites →https://doi.org/10.1145/30350openalex-snapshot
Proceedings of the 14th annual international symposium on Computer architecture - ISCA '87
inferredcites →https://doi.org/10.1145/339647.339685openalex-snapshot
Reconfigurable caches and their application to media processing
inferredcites →https://doi.org/10.2200/s00193ed1v01y200905cac006openalex-snapshot
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
inferredcites →https://doi.org/10.5555/2685048.2685053openalex-snapshot
IX: a protected dataplane operating system for high throughput and low latency
inferredcites →https://doi.org/10.5555/2685048.2685071openalex-snapshot
Apollo: scalable and coordinated scheduling for cloud-scale computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Method of Resource Isolation and Security Enhancement of Container Cloud Based on Multiple Security Domains
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Adjust: An Online Resource Adjustment Framework for Microservice Programs
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INDICES: Applying DDDAS Principles for Performance Interference-aware Cloud-to-Fog Application Migration
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Interference-aware execution framework with Co-scheML on GPU clusters
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Measuring data-centre workflows complexity through process mining: the Google cluster case
inferred← citeshttps://doi.org/10.1007/s11227-023-05070-0openalex-snapshot
BALANCER: bandwidth allocation and cache partitioning for multicore processors
inferred← citeshttps://doi.org/10.1016/j.future.2018.11.029openalex-snapshot
Temperature-aware power consumption modeling in Hyperscale cloud data centers
inferred← citeshttps://doi.org/10.1016/j.ins.2020.03.078openalex-snapshot
Novel fairness-aware co-scheduling for shared cache contention game on chip multiprocessors
inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.04.008openalex-snapshot
Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.04.002openalex-snapshot
On evaluating the resource usage effectiveness of multi-tenant cloud storage
inferred← citeshttps://doi.org/10.1093/comjnl/bxab072openalex-snapshot
LraSched: Admitting More Long-Running Applications via Auto-Estimating Container Size and Affinity
inferred← citeshttps://doi.org/10.1109/ccgrid59990.2024.00023openalex-snapshot
Improved Parallel Application Performance and Makespan by Colocation and Topology-aware Process Mapping
inferred← citeshttps://doi.org/10.1109/cluster.2018.00052openalex-snapshot
Co-Scheduling HPC Workloads on Cache-Partitioned CMP Platforms
inferred← citeshttps://doi.org/10.1109/cscwd54268.2022.9776126openalex-snapshot
Deadline-aware Preemptive Job Scheduling in Hadoop YARN Clusters
inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10070939openalex-snapshot
Adrias: Interference-Aware Memory Orchestration for Disaggregated Cloud Infrastructures
inferred← citeshttps://doi.org/10.1109/ic2e59103.2023.00020openalex-snapshot
Inducing Huge Tail Latency on a MongoDB deployment
inferred← citeshttps://doi.org/10.1109/icccbda51879.2021.9442553openalex-snapshot
Dynamic Resources Allocation among Collocated Applications via Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/icdcs.2017.32openalex-snapshot
A Study of Long-Tail Latency in n-Tier Systems: RPC vs. Asynchronous Invocations
inferred← citeshttps://doi.org/10.1109/icfec.2017.16openalex-snapshot
INDICES: Exploiting Edge Resources for Performance-Aware Cloud-Hosted Services
inferred← citeshttps://doi.org/10.1109/infcomw.2019.8845081openalex-snapshot
Rapid In-situ Profiling of Colocated Workloads
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.60openalex-snapshot
Co-Scheduling Algorithms for Cache-Partitioned Systems
inferred← citeshttps://doi.org/10.1109/jiot.2022.3223381openalex-snapshot
AutoInfer: Self-Driving Management for Resource-Efficient, SLO-Aware Machine=Learning Inference in GPU Clusters
inferred← citeshttps://doi.org/10.1109/lca.2020.3044923openalex-snapshot
IDIO: Orchestrating Inbound Network Data on Server Processors
inferred← citeshttps://doi.org/10.1109/mic.2020.2987739openalex-snapshot
SLOC: Service Level Objectives for Next Generation Cloud Computing
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RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization
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A Generalized Statistics-Based Model for Predicting Network-Induced Variability
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Less Provisioning: A Hybrid Resource Scaling Engine for Long-Running Services With Tail Latency Guarantees
inferred← citeshttps://doi.org/10.1109/tpds.2019.2924423openalex-snapshot
Resource-Efficient Index Shard Replication in Large Scale Search Engines
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Web Application Resource Requirements Estimation Based on the Workload Latent Features
inferred← citeshttps://doi.org/10.1109/tsc.2024.3440032openalex-snapshot
Aquifer: Transparent Microsecond-Scale Scheduling for vRAN Workloads
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A Survey of Techniques for Cache Partitioning in Multicore Processors
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Topology-aware GPU scheduling for learning workloads in cloud environments
inferred← citeshttps://doi.org/10.1145/3144168openalex-snapshot
The Hipster Approach for Improving Cloud System Efficiency
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Designing cluster schedulers for internet-scale services
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Designing Cluster Schedulers for Internet-Scale Services
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Index Shard Replication Strategies for Improving Resource Utilization in Large Scale Search Engines
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Mitigating Tail Response Time of n-Tier Applications
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Understanding, predicting and scheduling serverless workloads under partial interference
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Quantifying Resource Contention of Co-located Workloads with the System-level Entropy
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INS: Identifying and Mitigating Performance Interference in Clouds via Interference-Sensitive Paths
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Rethinking Cloud Optimization: Volatility-Driven for Better Outcomes
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Co-scheduling Amdahl applications on cache-partitioned systems
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Co-scheduling HPC workloads on cache-partitioned CMP platforms
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Resource Management in Aurora Serverless
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SDCBench: A Benchmark Suite for Workload Colocation and Evaluation in Datacenters
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Improving resource efficiency in virtualized datacenters
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Co-scheduling for large-scale applications : memory and resilience
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