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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The tail at scale

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Clearing the clouds

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Quasar

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Navigating Spatio-Temporal Uncertainty: Adaptive Cloud Resource Management Based on Quantile Central Limit Theorem and Kalman Filtering

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FastFI: Enhancing API Call-Site Robustness in Microservice-Based Systems with Fault Injection

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SREGym: A Live Training Ground for AI SRE Agents with High-Fidelity Failure Drills

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Multi-Cloud ML Systems: Performance Benchmarking and Latency Optimization

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PaTGen: Temporal Similarity-Driven Proxy Benchmark Generation Method for Cloud Workloads

Yin, H., Lin, W., Huang, H., Luo, X., Zhong, H., & Li, K. (2026) · ACM Transactions on Architecture and Code Optimization · doi:10.1145/3816437

ChainScope: Balancing Accuracy and Overhead in Non-intrusive Distributed Tracing of Microservices

Hong, R., Castellano, G., Zhang, J., Sun, C., Chen, P., & Gallo, M. (2026) · Proceedings of the ACM on Networking · doi:10.1145/3808662

Topology-Aware Circuit Breaking on Critical Paths in Microservice Systems

Wang, L., Li, X., Bu, Y., Zhang, T., Teng, M., & Zhao, Y. (2026) · Design, Automation, and Test in Europe · doi:10.23919/date69613.2026.11539340

Khepri: Crystallizing TAGE for Memory Efficient Prewarm in Serverless Computing

Wang, Z., Zhang, Z., Yang, Z., Jiang, K., Fu, C., & Han, J. S. (2026) · Design, Automation, and Test in Europe · doi:10.23919/date69613.2026.11539201

Scalable Middleware Layer for Secure, Fault-Tolerant, and High-Throughput Enterprise Application Integration Across Hybrid Cloud Environments

Bongu, S. R. (2026) · International Conference on Artificial Intelligence & Machine Learning in Communication and Power Systems (AIMLCPS) · doi:10.1109/aimlcps68702.2026.11542477

State Migration in Styx: Towards Serverless Transactional Functions

Psarakis, K., Christodoulou, G., Siachamis, G., Fragkoulis, M., & Katsifodimos, A. (2026) · The VLDB Journal · doi:10.1007/s00778-026-00971-x

Horizontal pod splitting scheduling for cost-effectiveness in cloud computing

Wang, S., Liu, X., Fu, J., Liu, S., Tian, X., & Du, X. (2026) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-026-00945-y

MCOP: A Multiple Containers in One Pod Placement Strategy towards Application Completion Time Minimization

Si, Z., Gu, L., Zeng, D., Fan, H., & Chen, Q. (2026) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom59046.2026.11571241

UTOC: Uncertainty-aware Execution Optimization for Conditional DAG Application in MEC Networks

Meng, Q., Tan, X., Wang, M., Liu, Y., Gao, X., & Zheng, Q. (2026) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom59046.2026.11571496

Graflow: A Microservice Anomaly Detection Method Based on Cross-Modal Feature Fusion and Multi-Scale Graph Attention Networks

Zhao, S., Liu, K., Lu, J., Xu, Z., Yan, M., & Qiu, K. (2026) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.2478/jaiscr-2026-0017

Application-Level Function Pipelines on In-Network FPGA Accelerators

Yang, Z., István, Z., Canini, M., & Fahmy, S. A. (2026) · IFIP Networking Conference (IFIP Networking) · doi:10.23919/ifipnetworking70592.2026.11579163

Intra-service tracing for shared and stressed datacenters: efficient management and intelligent analysis

Xinkai, W. A. N. G., Chao, L. I., HUANG, T., Jinyang, G. U. O., Hou, X., Xu, G., Wu, Y., & Minyi, G. U. O. (2026) · Scientia Sinica Informationis · doi:10.1360/ssi-2025-0384

Griffin: Coherency-Aware Task Scheduling and Memory Allocation for CXL Interconnects

Lee, S., Diab, K., Tootaghaj, D. Z., Cao, L., Sharma, P., & Gavrilovska, A. (2026) · International Conference on Supercomputing · doi:10.1145/3797905.3806074

Agile QoS-aware Dynamic Power Management with eBPF Governors

Rezvani, M., & Wong, D. (2026) · International Conference on Supercomputing · doi:10.1145/3797905.3800518

BOTVPA: An SLO-Aware and Efficient Resource Scheduling Method for Microservice

Ye, X., Lin, W., Luo, X., Li, M. S., & Mu, Q. (2026) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2026.3709898

AI-NativeBench: An Open-Source White-Box Agentic Benchmark Suite for AI-Native Systems

Wang, Z., Yu, G., & Lyu, M. R.-T. (2026) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3821576 · Cited by 6

AIAER-Mask: Safe Neuro-Symbolic Intent-Correct Routing for Event-Driven Microservices

Hassan, H., Sarhan, S., & Shalaby, A. (2026) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2026.3708565

Adaptive Migration Budget Control for Lightweight User-Space Tail Latency Scheduling on Linux

Li, J., Li, W., Bi, B., & Li, T. (2026) · International Conference on Signal Image Processing and Communication (ICSIPC) · doi:10.1109/icsipc69751.2026.11584090

Krysha: Cost-Efficient Resource Orchestration for Geo-Distributed Serverless Microservices

Zhang, Y., & Jacobsen, H. (2026) · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · doi:10.1145/3806645.3807589

Cremes: Cost-Efficient and Reliable Microservice Execution on Spot Instances

Chen, L., Lin, C., Chen, J., Luo, S., Xu, H., & Xu, C. (2026) · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · doi:10.1145/3806645.3807817

TraceDiff: Anomaly Detection on Microservice Traces Through Frequency-Aware Conditional Diffusion Model

Ding, K., Ran, D., Ma, Y., Song, Z., Bian, K., & Xie, T. (2026) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2026.3712748

Causal Intervention Reinforcement Learning for Resource Scheduling in Microservices

Zhang, X., Yang, Y., & Pu, P. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-3381-6_23

G1Stack : A Learning-Assisted Scheduler Framework for Interactive and Batch Workload Co-Location With High Resource Efficiency

Xu, D., Liu, F., Wang, B., Tang, X., Wu, Q., & Chen, C. L. P. (2026) · IEEE Transactions on Computers · doi:10.1109/tc.2026.3715803

AI and Signal Processing Baseline for Multi-Pathology Chest X-Ray Detection toward Smart Health Sensor Networks

Ikhzmane, O., Doudach, L., Belkhou, K., Rhalem, W., Sefrioui, H., Belfkih, S., Cherrah, Y., & Benba, A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-30563-3_14

Arcus: Fast and Reliable Function State I/O for Serverless Computing With Log-Cache Co-Design

Liu, Y., Huang, Z., Huang, H., Peng, J., Wu, S., & Jin, H. (2026) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2026.3715670

ResilienceBench-Operator: A Kubernetes Extension for Systematic Evaluation of Microservice Resilience Patterns

Aderaldo, C. M., & Mendonça, N. C. (2026) · Journal of Software Engineering Research and Development · doi:10.5753/jserd.2026.6965

What Academic AIOps Research Gets Wrong: A Practitioner’s Perspective from 12 Years of Cloud Operations

Anjum, M. A. (2026) · IEEE Cloud Summit · doi:10.1109/cloudsummit68932.2026.00012

Fuzzy Admission Control Using Non-Intrusive QoS Inference for Resource-Constrained Environments

Muslim, A., Aydenlou, A. B., & Recker, S. (2026) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz69877.2026.11626457

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark

Wang, Z., Sedlak, B., Herrera, J. L., & Dustdar, S. (2026) · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW) · doi:10.1109/icdcsw72724.2026.00054

PhaseWeave: Phase-Aware Execution on Heterogeneous Chiplet Architectures for Datacenters

Kim, J., Zhang, C., Goiri, Í., Rossbach, C. J., & Stojkovic, J. (2026) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1109/isca66397.2026.00120

AI-Driven Optimization of Inter-Service Communication and Latency Reduction in Distributed Microservices

Durai, M., & Pranitha, M. (2026) · International Conference on Inventive Computation and Information Technologies (ICICIT) · doi:10.1109/icicit69063.2026.11634070

Memory Consumption in Microservices Based and Monolithic Applications

Halili, N., Shabani, I., Hyseni, D., Zejnullahu, F., & Kabashi, Q. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-24513-7_13

StaR: Stateful Dynamic-Graph Root Cause Analysis through Memory-Enhanced Causality Discovery

Huang, H., Ng, M. T., Lyu, J., Huang, Y., Yu, G., Wang, Y., & Lyu, M. R.-T. (2026) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3770855.3817863

The Koala Benchmarks for the Shell: Characterization, Implications, and Extensions

Lamprou, E., Williams, E., Kaoukis, G., Zhang, Z., Greenberg, M., Καλλάς, Κ., Lazarek, L., & Vasilakis, N. (2026) · ACM Transactions on Computer Systems · doi:10.1145/3811545

Predicting Saturation of Custodial Self-Sovereign Identity Agents on Kubernetes: A Scaling Model for Capacity Planning

Ikegawa, K., 佐藤, 竜., & Hoshikawa, N. (2026) · IEEE Access · doi:10.1109/access.2026.3721544

Critical Path Guided Decision Making with CALLIGATOR

Pancholi, M., Baugh, L., Schnapauff, O., Culler, D., Kaffes, K., Gan, Y., & Stephens, B. E. (2026) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/3789240.3829103

Incentives and Evidence in Learned Service Orchestration

Khilji, S. I., Furutanpey, A., & Dustdar, S. (2026) · International Symposium on Service Oriented Software Engineering · doi:10.1109/sose71128.2026.00015

Partition-Based Microservice Architecture for Civil Aviation Cloud Platforms

Cui, H., Liu, Z., Li, M., Wang, H., Tian, F., Yang, G., Duan, K., & Fu, D. (2026) · IEEE International Conference on Joint Cloud Computing (JCC) · doi:10.1109/jcc72984.2026.00069

SLADE: an SLA-Based Decision Engine in QoS Application Performance ManagementPreprint

Stefano, A. D., Genovese, A., Gollo, M., & Morana, G. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7351199

LTFP: Lead-Time-Aware Failure Prediction Based on Service GNNs for AIOps

Zou, H., Zhao, Y., Chen, X., Wang, L., Yu, J., & Jiang, L. (2026) · Algorithms · doi:10.3390/a19090720

TD-RCA: Topology-Aware and Dual-Perspective Decoupling for Root Cause Analysis in Microservices

He, S., Tang, B., Wei, M., Xiang, L., & Xie, K. (2026) · International Workshop on Quality of Service · doi:10.1109/iwqos70441.2026.11661074

Quota-based Admission Control for Short-Lived gRPC Calls in DetNet with Credit-Based Shaper

Taniguchi, K., Endo, A., Takahashi, K., Watanakeesuntorn, W., Abe, H., Lee, C., & Date, S. (2026) · International Conference on Computer Communication and the Internet (ICCCI) · doi:10.1109/iccci70321.2026.11666577

GuardGRPC: Priority-Aware Resource Governance for OTLP/gRPC Telemetry Export

Gullapalli, S., Divi, V. R., Muppidi, N. K. R., Rachamalla, S., & Tatavarthi, S. (2026) · International Conference on Electronics Representation and Algorithm (ICERA) · doi:10.1109/icera72709.2026.11666727

Microservice Long-Tail Latency Estimation Integrating System Runtime State

Li, Z., & Xie, J. (2026) · International Conference on Computer Information and Big Data Applications (CIBDA) · doi:10.1145/3813822.3813932

Constrained Reinforcement Learning for Latency- Aware Microservice Deployment on Edge-Cloud Infrastructure

Kasahara, H., Kitajima, R., Towada, J., & Sato, O. (2026) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms69089.2026.11668339

Counterfactual Autoscaling for Resource-Efficient Service Orchestration in the Cloud–Edge Continuum

Liatsas, L., Kibalya, G., & Antonopoulos, A. (2026) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2026.3731114

$\mu$ Sherlock: Continuous Intrusion Detection for Dynamic Microservice Applications

Flora, J., & Antunes, N. (2026) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2026.3682163

Proceedings of The 16th International Symposium on Database Programming Languages

Rompf, T., Germany, D. 2. T. 1. I. S. O. D. P. L. 2. M., & Association for Computing Machinery-Digital Library (2017)

DCRL: Dynamic Causal Representation Learning for Root Cause Localization in Microservice Systems

Liu, C., Zhang, J., Shi, Y., Liu, S., Zhang, D., Qi, K., & Chen, Z. (2026) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws72778.2026.00080

A Lightweight Causal Evidence Pipeline for Root-Cause Localization in Cloud-Native Systems

Dua, M., Gautam, A. S., Chowdhury, R., & Kundu, T. (2026) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri69576.2026.00015

Automated Network-Level Fault Injection Testing of Microservice Architectures

Flipse, D., Simsek, H., Decouchant, J., & Ozkan, B. K. (2026) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3744916.3773193

FlowScope: Non-Intrusive Distributed Tracing with Method-Level Delay Estimation for Microservices Troubleshooting

Geng, Y., Zhang, H., Wu, Z., Li, Y., Wang, J., & Yin, X. (2026) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3744916.3764518

Microservices Scheduling with ReS Model: Characterization, Regulation and Metrics

Xu, Z., Li, Z., Chen, Q., Shi, J., Yang, Z., Wang, Z., Zheng, Q., Zhang, W., & Guo, M. (2026) · Proceedings of the International Conference on Parallel Processing · doi:10.1145/3832810.3832834

Empirical Static and Infrastructure Evaluation of Microservice Frameworks Across JVM, GraalVM Native Image, and Rust in Containerized Environments

Šarić, M., Radovan, A., & Kučak, D. (2026) · Applied Sciences · doi:10.3390/app16189069

DriftGuard-SLA: A Paired Multi-Fault Evaluation of Prediction-Triggered Self-Correction in Cloud-Native Service-Oriented Architectures

Alghadhban, A. J., Ghoneim, A., & Alshemaimri, B. K. (2026) · Computation · doi:10.3390/computation14100229

An Analysis of the Mismatch Between Garbage Collection Evolution and Datacenter Paradigm Shifting

Xiao, J.-W., Hua, Z., Li, S.-K., Yuan, Y.-Z., Wu, M.-Y., Xue, H.-N., Feng, X.-B., Cui, H.-M., & Wang, C. (2026) · Journal of Computer Science and Technology · doi:10.1007/s11390-025-5560-3

Computation Is Fast, Use T hreadlet !: Efficient Threading for μs-Scale Computing via OS/Hardware Co-Design

Yao, Y., 秦晓河, Fan, Y., Li, Y., Hu, K., Li, L., Wang, X., Xie, T., Wang, Z., Tamir, Y., et al. (2026) · ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · doi:10.1145/3830418.3843863

OpenHFTBench: A Benchmark for Temporal Structure in Stateful Event Processing

Peng, S., Gui, Y., Jing, M., Zeng, X., & Fan, Y. (2026) · IEEE International Test Conference in Asia (ITC-Asia) · doi:10.1109/itc-asia71864.2026.11710922

SemantiX: A Compatibility Checker between Applications and Compositions of Distributed Systems

Sun, Y., & Shin, J.-Y. (2026) · Proceedings of the ACM on software engineering. · doi:10.1145/3832138

AdaFuse: Adaptive Function Fusion for Dynamic Serverless Workflows

Lin, Z., Liao, J., Zhou, Z., Xu, H., Xu, F., Chen, X., & Guo, D. (2026) · ACM Transactions on Architecture and Code Optimization · doi:10.1145/3859287

Resilience Engineering for Cloud-Deployed Financial Systems Using Spring-Based Microservices

Vaidyanathan, S. (2025) · International Journal of Computational and Experimental Science and Engineering · doi:10.22399/ijcesen.5546

Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety

Bilal, M., Crowcroft, J., Wang, R., Xu, X., & Dustdar, S. (2027) · Computer Science Review · doi:10.1016/j.cosrev.2026.101075 · Cited by 10

An Open-Source Benchmark Suite for Cloud and IoT MicroservicesPreprint

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The Architectural Implications of Microservices in the CloudPreprint

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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