An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems

Data Mining

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Large-Scale Machine Learning with Stochastic Gradient Descent

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In-Datacenter Performance Analysis of a Tensor Processing Unit

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The tail at scale

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The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines

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Large-scale cluster management at Google with Borg

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Clearing the clouds

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Quasar

Delimitrou, C., & Kozyrakis, C. (2014) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/2541940.2541941 · Cited by 704

A reconfigurable fabric for accelerating large-scale datacenter services

Putnam, A. R., Caulfield, A. M., Chung, E. S., Chiou, D., Constantinides, K., Demme, J., Esmaeilzadeh, H., Fowers, J., Gopal, G. P., Gray, J., et al. (2014) · ACM SIGARCH Computer Architecture News · doi:10.1145/2678373.2665678 · Cited by 700

ClearCausal: Cross Layer Causal Analysis for Automatic Microservice Performance Debugging

Tunde-Onadele, O., Qin, F., Gu, X., & Lin, Y. (2024) · IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) · doi:10.1109/acsos61780.2024.00039 · Cited by 2

Cooperative Graceful Degradation in Containerized Clouds

Agrawal, K., & Jyothi, S. A. (2025) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3669940.3707244 · Cited by 2

CausalMesh: A Causal Cache for Stateful Serverless Computing

Zhang, H., Mu, S., Angel, S., & Liu, V. (2024) · Proceedings of the VLDB Endowment · doi:10.14778/3704965.3704969 · Cited by 2

Embracing Imbalance: Dynamic Load Shifting among Microservice Containers in Shared Clusters

Luo, S., Liao, J., Lin, C., Xu, H., Zhou, Z., & Xu, C. (2025) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3676641.3716255 · Cited by 2

SeBS 2.0: Keeping up with the Clouds

Copik, M., Calotoiu, A., & Hoefler, T. (2025) · Workshop on SErverless Systems, Applications and MEthodologies (SESAME) · doi:10.1145/3721465.3721867 · Cited by 2

A Benchmark for DDoS Attacks Detection in Microservice Architectures

Ficco, M., Fusco, P., Guerriero, A., Pietrantuono, R., Russo, M., Palmieri, F., & Russo, S. (2025) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/icnc64010.2025.10994136 · Cited by 2

TRAFFIC: Testbed foR Assessing energy eFFiciency In throughput Computing

Guibert, L., Reynaud, S., Weppe, O., Ciko, K., Welzl, M., & Rumley, S. (2025) · ACM International Conference on Computing Frontiers: Workshops and Special Sessions (CF Companion) · doi:10.1145/3706594.3727961 · Cited by 3

Cppless: Single-Source and High-Performance Serverless Programming in C++

Copik, M., Möller, L., Calotoiu, A., & Hoefler, T. (2025) · ACM Transactions on Architecture and Code Optimization · doi:10.1145/3747841 · Cited by 2

A Polystore Based Database Operating System (DBOS)

Cafarella, M., DeWitt, D. J., Gadepally, V. N., Kepner, J., Kozyrakis, C., Kraska, T., Stonebraker, M. R., & Zaharia, M. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-71055-2_1 · Cited by 2

MiSeRTrace

Thrivikraman, V., Dixit, V. R., Nikhil Ram, S., Gowda, V. K., Vasudevan, S. K., & Kalambur, S. (2022) · ACM/SPEC International Conference on Performance Engineering (ICPE) · doi:10.1145/3491204.3527462 · Cited by 2

Securing Microservices Against Password Guess Attacks using Hardware Performance Counters

Kadiyala, S. P., Li, X., Lee, W., & Catlin, A. (2022) · IEEE International System-on-Chip Conference (SOCC) · doi:10.1109/socc56010.2022.9908109 · Cited by 2

Foxhound: Server-Grade Observability for Network-Augmented Applications

Castanheira, L., Schaeffer-Filho, A. E., & Benson, T. (2023) · European Conference on Computer Systems · doi:10.1145/3552326.3567502 · Cited by 2

Robust Contract Evolution in a TypeSafe MicroServices Architecture

Seco, J. C., Ferreira, P. A. V., Lourenço, H., Ferreira, C., & Ferrão, L. (2020) · The Art Science and Engineering of Programming · doi:10.22152/programming-journal.org/2020/4/10 · Cited by 2

Multilevel Secure Container Deployment Framework in Edge Computing

Nambiar, S., Nandakrishna, Tubakad, C., Kiran, A., & Kalambur, S. (2021) · Communications in computer and information science · doi:10.1007/978-981-16-0422-5_4 · Cited by 2

Distributed online extraction of a fluid model for microservice applications using local tracing data

Ruuskanen, J., & Cervin, A. (2022) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud55607.2022.00037 · Cited by 2

Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In DatacentersPreprint

Zhang, W., Chen, Q., Fu, K., Zheng, N., Huang, Z., Leng, J., Li, C., Zheng, W., & Guo, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.02088 · Cited by 3

Monitoring Data Distribution and Exploitation in a Global-Scale Microservice Artefact ObservatoryPreprint

Gkikopoulos, P., Spillner, J., & Schiavoni, V. (2020) · arXiv (Cornell University) · doi:10.21256/zhaw-22695 · Cited by 2

A Survey on Edge Performance BenchmarkingPreprint

Varghese, B., Wang, N., Bermbach, D., Hong, C.-H., de Lara, E., Shi, W., & Stewart, C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.11725 · Cited by 2

AIBench Scenario: Scenario-distilling AI BenchmarkingPreprint

Gao, W., Tang, F., Zhan, J., Wen, X., Wang, L., Cao, Z., Lan, C., Luo, C., Liu, X., & Jiang, Z. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.03459 · Cited by 2

Enhancing GSMA Operator Platform Group Standards to Enable Seamless Application Mobility in Multi-Domain Multi-Access Edge Computing Networks

Narendra, N. C. (2023) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets56262.2023.10041327 · Cited by 1

CONTC: A Traffic Control System for Container Overlay Networks

Zeng, D., Gu, L., Chen, Q., & Lei, Y. (2023) · International Workshop on Quality of Service · doi:10.1109/iwqos57198.2023.10188758 · Cited by 1

Reinforcement Learning Based Memory Configuration for Linear Dynamic Function Chains

Zhang, J., Li, X., Rajput, K. Y., & Chen, L. (2024) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd61410.2024.10580797 · Cited by 1

When Green Computing Meets Performance and Resilience SLOs

Qiu, H., Mao, W., Wang, C., Jha, S., Franke, H., Narayanaswami, C., Kalbarczyk, Z., Başar, T., & Iyer, R. K. (2024) · IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S) · doi:10.1109/dsn-s60304.2024.00015 · Cited by 1

Unleashing Performance Insights with Online Probabilistic Tracing

Toslali, M., Qasim, S., Parthasarathy, S., Oliveira, F. A., Huang, H., Stringhini, G., Liu, Z., & Coskun, A. K. (2024) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e61754.2024.00015 · Cited by 1

Byways: High-Performance, Isolated Network Functions for Multi-Tenant Cloud Servers

Han, X., Gao, Y., Parmer, G., & Wood, T. (2024) · ACM Symposium on Cloud Computing (SoCC) · doi:10.1145/3698038.3698547 · Cited by 1

Weeding out Front-End Stalls with Uneven Block Size Instruction Cache

Brunner, R. K., & Kumar, R. (2024) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1109/micro61859.2024.00102 · Cited by 1

PiCoP: Service Mesh for Sharing Microservices in Multiple Environments Using Protocol-Independent Context Propagation

Onoe, H., Kotani, D., & Okabe, Y. (2025) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2025.3531954 · Cited by 1

Understanding Sidecars in Cloud Orchestration

Sahu, P., Wei, S., Yadwadkar, N. J., & Tiwari, M. (2025) · Workshop on SErverless Systems, Applications and MEthodologies (SESAME) · doi:10.1145/3721465.3721862 · Cited by 1

Integrating Graph Databases into the Data Layer of Three-Tier Architecture Applications

Febryanto, K. C., Sarno, R., Sungkono, K. R., Sabilla, S. I., Sunaryono, D., & Septiyanto, A. F. (2025) · International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI) · doi:10.1109/icocseti63724.2025.11020334 · Cited by 1

Microns: Connection Subsetting for Microservices in Shared Clusters

Liao, J., Li, J., Zhou, Z., Xu, F., Liu, F., & Chen, X. (2025) · Proceedings of the ACM on Measurement and Analysis of Computing Systems · doi:10.1145/3727118 · Cited by 1

Microns: Connection Subsetting for Microservices in Shared Clusters

Liao, J., Li, J., Zhou, Z., Xu, F., Liu, F., & Chen, X. (2025) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/3744970.3727294 · Cited by 1

CINERGY: Reasoning Over the Worst Case Power Consumption of Cloud Virtual Machines

Jacquet, P., Camille Coti, B., de Assunção, M. D., & Rouvoy, R. (2025) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid64434.2025.00024 · Cited by 1

Compositional Coordinated Resource Provisioning in Workflows With Stochastic Durations

Carnevali, L., Paolieri, M., Reali, R., Scommegna, L., & Vicario, E. (2025) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2025.3585821 · Cited by 1

Old is Gold: Optimizing Single-Threaded Applications With ExGen-Malloc

Li, R., John, L. K., & Yadwadkar, N. J. (2025) · IEEE Computer Architecture Letters · doi:10.1109/lca.2025.3587582 · Cited by 1

Service-Level Objective-Aware Load-Adaptive Timeout: Balancing Failure Rate and Latency in Microservices Communication

Hanada, H., & Ishibashi, K. (2025) · IEEE Access · doi:10.1109/access.2025.3596118 · Cited by 1

Helm-ET: Reducing Exposure to Lateral Movement in Kubernetes Artifacts

Bufalino, J., Martin-Navarro, J. L., Peltonen, A., & Aura, T. (2025) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud67622.2025.00021 · Cited by 1

KPath: Dependent and Redundant Task Execution Path Planning in Edge Service Networks

Shi, H., He, Q., Xia, X., He, X., Chen, F., Yang, Y. J., & Wang, Z. (2025) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2025.3617155 · Cited by 1

SafeTree: Expressive Tree Policies for Microservices

Grewal, K., Godfrey, P. B., & Hsu, J. (2025) · Proceedings of the ACM on Programming Languages · doi:10.1145/3763127 · Cited by 1

CPU Autoscaling With a Kernel of Truth

Sampat, P. R., Xu, T., & Ghose, S. (2025) · ACM SIGOPS Asia-Pacific Workshop on Systems (APSys) · doi:10.1145/3725783.3764407 · Cited by 1

XPLOG: A Dynamic Observability Framework for Distributed Sandboxed Microservices

Satapathy, U., Borse, H., Bachhawat, R., Dalmia, N., Chattopadhyay, S., & Chakraborty, S. (2025) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2025.3612900 · Cited by 1

GUIDE - GNN based Unified Incident Detection for Microservices Application Deployments

Dutt, A., Jang, D., Nadkarni, J., Su, K., & Gandhi, A. (2025) · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW) · doi:10.1109/icdcsw63273.2025.00047 · Cited by 1

CPU-Only Spatiotemporal Anomaly Detection in Microservice Systems via Dynamic Graph Neural Networks and LSTM

Zhang, J., & Yang, H. (2026) · Symmetry · doi:10.3390/sym18010087 · Cited by 1

iRUC: Reducing Inter-Microservice Data Communication in Data-Intensive Systems via Unified Computation

Wang, P., Liu, R., Huang, K., & Du, X. (2026) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2026.3656819 · Cited by 1

Joint Optimization of Communication-Aware Group Microservice Deployment and Multi-Chain Request Routing

Xiong, H., Qiao, K., Ren, J., Wang, H., Zhang, W., Yang, D. H., & Yang, L. L. (2026) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2026.3656883 · Cited by 1

PROPHET: Efficient and Intelligent Orchestrator for Microservices Scheduling and Scaling

Leng, X., Zhu, C., Zhu, F., Shen, K., Sun, J., Zhu, T., & Chen, Y. (2026) · IEEE Transactions on Networking · doi:10.1109/ton.2026.3658319 · Cited by 1

ZT-MCP: A Zero-Trust Security Architecture for MCP-Connected AI Agents

Mishra, S. (2026) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1109/coins69995.2026.11715596 · Cited by 1

An Agent-Based Approach to Automating Software Performance Testing (Work In Progress Paper)

Binder, E., Li, X., & Janes, A. (2026) · ACM/SPEC International Conference on Performance Engineering (ICPE) · doi:10.1145/3777911.3801107 · Cited by 2

Flare: Leveraging Serverless Elasticity to Absorb Microservice Load Spikes

Dehigama, D., Jesalpura, S., Schall, D., Katsarakis, A., Kogias, M., Kumar, R., & Grot, B. (2026) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud72782.2026.00067 · Cited by 1

eBeeMetrics: An eBPF-based Library Framework for Feedback-free Observability of QoS Metrics

Ibnath, M., Rezvani, M., & Wong, D. (2026) · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · doi:10.1109/ispass69572.2026.00056 · Cited by 1

CausalRCA: Causal Graph-Augmented Retrieval for Root Cause Analysis in Microservice Systems

Kou, J., Qing, Z., Wei, R., Xue, F., Huang, W., & Zhuang, H. (2026) · International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT) · doi:10.1109/eibdct69742.2026.11566729 · Cited by 2

AnoMod: A Dataset for Anomaly Detection and Root Cause Analysis in Microservice System

Ping, K., Mazhar, H. B., Wang, Y., Song, Y., & Mäntylä, M. (2026) · International Conference on Mining Software Repositories (MSR) · doi:10.1145/3793302.3793324 · Cited by 1

SLO-Aware Graph Forecasting for Intelligent Autoscaling in API and Microservice Backends

Yang, K., Wang, F., & Jiang, R. (2026) · International Conference on Electronics and Communication, Network and Computer Technology (ECNCT) · doi:10.1109/ecnct70535.2026.11661542 · Cited by 1

Analyzing Tail Latency in Serverless Clouds with STeLLAR

Ustiugov, D., Amariucai, T., & Grot, B. (2021) · IEEE International Symposium on Workload Characterization · doi:10.1109/iiswc53511.2021.00016 · Cited by 2

Datamime: Generating Representative Benchmarks by Automatically Synthesizing Datasets

Lee, H. R., & Sánchez, D. (2022) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1109/micro56248.2022.00082 · Cited by 1

Mining microservice design patterns

Ramasubramanian, K., Phillips, E., & Alvaro, P. (2022) · Symposium on Cloud Computing · doi:10.1145/3542929.3563472 · Cited by 1

MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-Based IoT Deployments

Wang, S., Bakir, F., Ekaireb, T., Pearson, J., Krintz, C., & Wolski, R. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-31180-2_3 · Cited by 1

SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds

Chow, K.-H., Deshpande, U., Deenadhayalan, V., Seshadri, S., & Liu, L. (2023) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3555041.3589718 · Cited by 1

Nimble: QoS-Aware Resource Management for Edge-Assisted Microservice Environments

Samanta, A. (2023) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3570361.3615738 · Cited by 1

Strega : An HTTP Server for FPGAs

Maschi, F., & Alonso, G. (2023) · ACM Transactions on Reconfigurable Technology and Systems · doi:10.1145/3611312 · Cited by 1

Towards Performance Management of Large-Scale Microservices Applications

Somashekar, G. (2023) · IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) · doi:10.1109/acsos-c58168.2023.00028 · Cited by 1

Misuse Detection and Response for Orchestrated Microservices Based Software

Amin, M. A., Dogan, A. H., Kuru, E. S., Sever, Y., & Angın, P. (2024) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-57942-4_22 · Cited by 1

MSTG: A Flexible and Scalable Microservices Infrastructure Generator

Wansart, E., Goffart, M., Iurman, J., & Donnet, B. (2024) · Network Traffic Measurement and Analysis Conference (TMA) · doi:10.23919/tma62044.2024.10559148 · Cited by 1

Server Architecture From Enterprise to Post-Moore

Falsafi, B., Ferdman, M., & Grot, B. (2024) · IEEE Micro · doi:10.1109/mm.2024.3418975 · Cited by 1

MindPalace: A Framework for Studying Microarchitecture Design of Function-as-a-Service

Xu, K., Tziantzioulis, G., & Wentzlaff, D. (2024) · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · doi:10.1109/ispass61541.2024.00042 · Cited by 1

Litmus: Fair Pricing for Serverless Computing

Pei, Q., Wang, Y., & Shin, S. (2024) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3622781.3674181 · Cited by 1

NotNets: Accelerating Microservices by Bypassing the Network

Alvaro, P., Adiletta, M., Cheng, D., Cockroft, A., Hady, F., Illikkal, R., Ramos, E., & Soulé, R. (2024) · ACM SIGOPS Asia-Pacific Workshop on Systems (APSys) · doi:10.1145/3678015.3680494 · Cited by 1

Can OS Specialization give new life to old carbon in the cloud?

Dong, H., Arora, S., Krieger, O. Y., & Appavoo, J. (2024) · ACM International Systems and Storage Conference (SYSTOR) · doi:10.1145/3688351.3689158 · Cited by 1

ThreadFuser: A SIMT Analysis Framework for MIMD Programs

Alawneh, A., Kang, N., Khairy, M., & Rogers, T. G. (2024) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1109/micro61859.2024.00078 · Cited by 1

System-Oriented Testing on the Microservices Architecture: A Systematic Literature Review

Bello-Trejo, S., Limón, X., Ocharán-Hernández, J. O., & Hernández-González, L. A. (2024) · International Conference in Software Engineering Research and Innovation (CONISOFT) · doi:10.1109/conisoft63288.2024.00026 · Cited by 2

eZtunnel: Leveraging eBPF to Transparently Offload Service Mesh Data Plane Networking

Simas, A. J., Rodríguez, F., & Rothenberg, C. E. (2024) · IEEE International Conference on Cloud Networking · doi:10.1109/cloudnet62863.2024.10815862 · Cited by 1

A Study of Response Time Instability of Microservices at High Resource Utilization in the Cloud

Wang, Q., Gu, X., & Pu, C. (2024) · IEEE International Conference on Cognitive Machine Intelligence (CogMI) · doi:10.1109/cogmi62246.2024.00024 · Cited by 1

Mosaic: Optimizing Cloud Resource Efficiency with Lazily-Packaged Application Modules

Ivanenko, S., Segarra, C., & Bruno, R. (2025) · Workshop on SErverless Systems, Applications and MEthodologies (SESAME) · doi:10.1145/3721465.3721864 · Cited by 1

A failure analysis framework to provide pure anomalous data using multi-source data of fault-sensitive microservices

Fu, N., Cheng, G., Dai, G., Mei, H., Qiu, X., & Teng, Y. (2025) · Journal of Systems and Software · doi:10.1016/j.jss.2025.112513 · Cited by 1

Designing Transport-Level Encryption for Datacenter Networks

Gao, T., Ma, X., Narreddy, S., Luo, E., Chien, S. W. D., & Honda, M. (2025) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/3718958.3750482 · Cited by 1

NLUBroker: A Flexible and Responsive Broker for Cloud-based Natural Language Understanding Services

Xu, L., Iyengar, A., & Shi, W. (2019) · USENIX conference on Hot Topics in Cloud Ccomputing · Cited by 1

Performance sensitivity of Operating System parameters in Microservice environments

Goutham, K. S., Kempaiah, B. U., Mampilli, R. J., & Kalambur, S. (2020) · IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) · doi:10.1109/ccem50674.2020.00025 · Cited by 1

Procedure-driven deployment support for the microservice era

Sheoran, A., Fahmy, S., Sharma, P. K., & Modi, N. (2021) · International Middleware Conference · doi:10.1145/3491084.3491429 · Cited by 1

Bridging the gap between source code and high-level concepts in static code analysis

Schiewe, M. (2022) · ACM Symposium on Applied Computing · doi:10.1145/3477314.3508371 · Cited by 1

Scorpius: Proactive Code Preparation to Accelerate Function Startup

Yu, H., Shen, J., Zhang, H., Wang, J., Miao, C., & Xu, M. (2022) · International Workshop on Quality of Service · doi:10.1109/iwqos54832.2022.9812868 · Cited by 1

Kuber: Cost-Efficient Microservice Deployment Planner

Kadiyala, H., Misail, A., & Rubin, J. (2022) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner53432.2022.00040 · Cited by 1

Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICsPreprint

Lazarev, N., Xiang, S., Adit, N., Zhang, Z., & Delimitrou, C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.01482 · Cited by 1

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows.Preprint

Zorgdrager, W., Psarakis, K., Fragkoulis, M., Eelco Visser, B., & Katsifodimos, A. (2021) · arXiv (Cornell University) · Cited by 1

AIOpsLab in Action: An Open Platform for AIOps Research

Ma, M., Clark, J., & Zhang, S. (2025) · Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering · doi:10.1145/3696630.3728619

Proceedings of the 19th International Symposium on Database Programming Languages

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Leveraging Deep Learning to Improve the Performance Predictability of Cloud MicroservicesPreprint

Gan, Y., Zhang, Y., Hu, K., Cheng, D., He, Y., Pancholi, M., & Delimitrou, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.00968

Performance in the spotlight

Colyer, A. (2019) · Proceedings of the VLDB Endowment · doi:10.14778/3352063.3352144

Lessons Learned and Open Challenges

Wang, X., Han, Y., Leung, V. C. M., Niyato, D. T., Yan, X., & Chen, X. (2020) · Springer eBooks · doi:10.1007/978-981-15-6186-3_9

Fault-tolerant and Transactional Stateful Serverless Workflows (extended version)Preprint

Zhang, H., Cardoza, A., Chen, P. B., Angel, S., & Liu, V. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.06706

The Design of Stateful Serverless Infrastructure

Sreekanti, V. (2020) · eScholarship (California Digital Library)

Distributed Edge Cloud Availability

Yang, J. (2020) · Uppsala University Publications (Uppsala University)

Microservice Dynamic Architecture-Level Deployment Orchestration (Extended Version)Preprint

Bacchiani, L., Bravetti, M., Giallorenzo, S., Mauro, J., Talevi, I., & Zavattaro, G. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.12466

Sinan: Data-Driven, QoS-Aware Cluster Management for MicroservicesPreprint

Zhang, Y., Hua, W., Zhou, Z., Suh, G. E., & Delimitrou, C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.13424

An Extensible Computing Architecture Design for Connected Autonomous Vehicle System

Hochstetler, J. (2021) · doi:10.12794/metadc1808452

Acceleration-as-a-μService: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAsPreprint

Diamantopoulos, D., Polig, R., Ringlein, B., Purandare, M., Weiss, B., Hagleitner, C., Lantz, M. A., & Abel, F. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.06293

Datacenter Architectures for the Microservices Era

Mirhosseininiri, S. (2021) · Deep Blue (University of Michigan) · doi:10.7302/1405

Enabling hyperscale web services

Sriraman, A. (2023) · BenchCouncil Transactions on Benchmarks Standards and Evaluations · doi:10.1016/j.tbench.2023.100092

Accelerating network function virtualization

Lubeznov, M. (2021) · cIRcle (University of British Columbia) · doi:10.14288/1.0401857

Charon

Xing, J., Demoulin, H. M., Καλλάς, Κ., & Lee, B. C. (2021) · ACM Workshop on Hot Topics in Networks (HotNets) · doi:10.1145/3484266.3487378

NLUBroker : A QoE-driven Broker System for Natural Language Understanding Services

Xu, L., Iyengar, A., & Shi, W. (2022) · ACM Transactions on Internet Technology · doi:10.1145/3497807

Improving task scheduling in microservice environments by considering intra-job dependencies

Phalachandra, H. L., Bhatt, P., Agarwal, I., & Bhowmick, R. (2022) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs53718.2022.9788282

An Open-Source Benchmark Suite for Cloud and IoT MicroservicesPreprint

Gan, Y., Yanqi, Z., Cheng, D., Shetty, A., Rathi, P., Katarki, N., Bruno, A., Hu, J., Ritchken, B., Jackson, B., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.11055 · Cited by 2

The Architectural Implications of Microservices in the CloudPreprint

Gan, Y., & Delimitrou, C. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.10351 · Cited by 4

The Architectural Implications of Cloud Microservices

Gan, Y., & Delimitrou, C. (2018) · IEEE Computer Architecture Letters · doi:10.1109/lca.2018.2839189 · Cited by 121

Sinan: ML-based and QoS-aware resource management for cloud microservices

Zhang, Y., Hua, W., Zhou, Z., Suh, G. E., & Delimitrou, C. (2021) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/3445814.3446693 · Cited by 230

Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems

Gan, Y., Zhang, Y., Cheng, D., Shetty, A., Rathi, P., Katarki, N., Bruno, A., Hu, J., Ritchken, B., Jackson, B., et al. (2020) · IEEE Micro · doi:10.1109/mm.2020.2985960 · Cited by 10