Serverless Platform-Driven CPU Load Balancing
Lets a serverless control plane influence Linux CPU scheduling through SchedExt domains, reducing loaded-request latency and energy use.
serverlessschedulingenergy
Cloud Computing
Cloud-native platforms, serverless systems, scheduling, resource management, and edge computing.
31 curated papers31 papers
2026
2 papersHierarchical Server Architecture for Agentic Science
Designs a hierarchical discovery and negotiation architecture for dispatching agentic scientific workloads across cloud, edge, and HPC resources.
resource discoveryagentsHPC
2025
9 papersAI-Driven Cloud Resource Optimization for Multi-Cluster Environments
Coordinates predictive, policy-aware resource decisions across clusters to improve utilization, adaptation speed, and workload stability.
multi-clusterresource managementprediction
AdaptiFlow: An Extensible Framework for Event-Driven Autonomy in Cloud Microservices
Provides event-driven abstractions for decentralized runtime adaptation without imposing a centralized cloud controller.
cloud-nativemicroservicesadaptation
Industry researchHuawei Technologies (China)11 citations
UB-Mesh: A Hierarchically Localized nD-FullMesh Data Center Network Architecture
The scaling of Large-scale Language Models (LLMs) demands unprecedented computational power and bandwidth. We present UB-Mesh, an innovative AI datacenter network architecture that enhances scalability, performance, and cost-efficiency through a hierarchical nD-FullMesh topology.
Cloud ComputingLLM
Industry researchHuawei Technologies (China)23 citations
BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems
Despite efforts to improve the quality of service (QoS) and throughput in Large Language Model (LLM) serving systems, progress is often limited by the lack of publicly available real-world workloads. Consequently, evaluations usually depend on synthetic or oversimplified load patterns, and systems that appear promising in testing frequently underperform…
Cloud ComputingLLM
Industry researchIBM (Canada)8 citations
A Reference Architecture for Governance of Cloud Native Applications
The evolution of cloud computing has given rise to Cloud Native Applications (CNAs), presenting new challenges in governance, particularly when faced with strict compliance requirements. This work explores the unique characteristics of CNAs and their impact on governance.
Cloud Computingcloud
Industry researchMicrosoft (United States)23 citations
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
The rising demand for generative large language models (LLMs) poses challenges for thermal and power management in cloud datacenters. Traditional techniques are often inadequate for LLM inference due to the fine-grained, millisecond-scale execution phases, each with distinct performance, thermal, and power profiles.
Cloud ComputingcloudschedulingLLM
Industry researchTencent (China)11 citations
Enabling Consistent Sensing Data Sharing Among IoT Edge Servers via Lightweight Consensus
Blockchain offers distinct advantages in terms of data credibility and provenance certification, and its fusion with Internet of Things (IoT) technology holds great promise. Nevertheless, IoT environments are marked by extensive node networks and intricate communication patterns, especially the sensing environment.
Cloud Computingconsensusedge
Industry researchEricsson (Sweden)17 citations
A Multi-Domain Survey on Time-Criticality in Cloud Computing
Conventional cloud services and infrastructures are mainly designed to maximize utilization of resources and provide best-effort Quality-of-Service levels. However, many emerging use cases in both public and private cloud computing scenarios are time-critical in nature.
Cloud Computingcloud
Industry researchAlibaba Group (China)10 citations
Adaptive Capacity Provisioning for Carbon-Aware Data Centers: A Digital Twin-Based Approach
This paper considers the carbon-aware data center (DC) capacity provisioning problem under uncertain green energy availability and computing demand. To address it, accurate carbon emissions estimation and robust capacity provisioning are necessary.
Cloud Computing
2024
20 papersAdaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
Schedules deadline-sensitive inference across drones, edge devices, and serverless cloud functions using dropping, stealing, migration, and adaptation.
edge-cloudschedulinginference
Stimpack: An Adaptive Rendering Optimization System for Scalable Cloud Gaming
Adapts server-side rendering quality to network compression so constrained edge servers spend compute where users can perceive it.
edge computingcloud gamingadaptation
Industry researchAlibaba Group (United States)12 citations
Humas: A Heterogeneity- and Upgrade-Aware Microservice Auto-Scaling Framework in Large-Scale Data Centers
An effective auto-scaling framework is essential for microservices to ensure performance stability and resource efficiency under dynamic workloads. As revealed by many prior studies, the key to efficient auto-scaling lies in accurately learning performance patterns, i.
Cloud Computing
Industry researchHuawei Technologies (China)13 citations
Flexible Computing: A New Framework for Improving Resource Allocation and Scheduling in Elastic Computing
Since the advent of cloud computing, Elastic Computing (EC) has become the standard architecture for resource allocation and scheduling. EC typically allocates computing resources based on predefined specifications, such as virtual machine or container flavors.
Cloud Computingscheduling
Industry researchAlibaba Group (China) · Huawei Technologies (China)10 citations
No More Data Silos: Unified Microservice Failure Diagnosis With Temporal Knowledge Graph
Microservices improve the scalability and flexibility of monolithic architectures to accommodate the evolution of software systems, but the complexity and dynamics of microservices challenge system reliability. Ensuring microservice quality requires efficient failure diagnosis, including detection and triage.
Cloud Computingedge
Industry researchZTE (China)54 citations
Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression
Nowadays, there exists a lot of cross-region data transmission demand on the cloud. It is promising to use serverless computing for data compressing to save the total data size.
Cloud Computingserverlesscloud
Industry researchHuawei Technologies (China)18 citations
ComboFunc: Joint Resource Combination and Container Placement for Serverless Function Scaling With Heterogeneous Container
Serverless computing provides developers with a maintenance-free approach to resource usage, but it also transfers resource management responsibility to the cloud platform. However, the fine granularity of serverless function resources can lead to performance bottlenecks and resource fragmentation on nodes when creating many function containers.
Cloud Computingserverless
Industry researchTencent (China)9 citations
Tetris: Proactive Container Scheduling for Long-Term Load Balancing in Shared Clusters
Long-running containerized workloads (e. g.
Cloud Computingscheduling
Industry researchAlibaba Group (China) · Alibaba Group (United States)126 citations
Alibaba HPN: A Data Center Network for Large Language Model Training
This paper presents HPN, Alibaba Cloud's data center network for large language model (LLM) training. Due to the differences between LLMs and general cloud computing (e.
Cloud Computing
Industry researchAlibaba Group (China)33 citations
Crux: GPU-Efficient Communication Scheduling for Deep Learning Training
Deep learning training (DLT), e. g.
Cloud Computingscheduling
Industry researchHuawei Technologies (China)25 citations
YuanRong: A Production General-purpose Serverless System for Distributed Applications in the Cloud
We design, implement, and evaluate YuanRong, the first production general-purpose serverless platform with a unified programming interface, multi-language runtime, and a distributed computing kernel for cloud-based applications. YuanRong addresses many limitations of existing Function-as-a-Service (FaaS) systems, particularly in performance and lack of…
Cloud Computingserverlesscloud
Industry researchMicrosoft (United States)13 citations
Data Center Power and Energy Management: Past, Present, and Future
This article overviews some of the key past developments in cloud data center power and energy management, where we are today, and what the future could be. This topic is gaining enormous renewed interest in the context of the conflicting needs of the AI revolution and the climate crisis.
Cloud Computing
Industry researchMicrosoft Research (United Kingdom)41 citations
Designing Cloud Servers for Lower Carbon
To mitigate climate change, we must reduce carbon emissions from hyperscale cloud computing. We find that cloud compute servers cause the majority of emissions in a general-purpose cloud.
Cloud Computingcloud
Industry researchAlibaba Group (China)9 citations
Data-Driven Flexibility Capability Modeling of Internet Data Center Considering Task Dependency
The power consumption flexibility provided by the energy-intensive Internet data centers (IDCs) has been extensively studied as a potential solution for enhancing the flexibility of power systems. In IDCs, computational workloads are further divided into potentially interdependent tasks.
Cloud Computing
Industry researchMicrosoft (United States)69 citations
Characterizing Power Management Opportunities for LLMs in the Cloud
Recent innovation in large language models (LLMs), and their myriad use cases have rapidly driven up the compute demand for datacenter GPUs. Several cloud providers and other enterprises plan to substantially grow their datacenter capacity to support these new workloads.
Cloud ComputingcloudLLM
Industry researchHuawei Technologies (China)9 citations
FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network
Due to the fast developments of 5G and IoT technologies, Inter-Datacenter (Inter-DC) networks are facing unprecedented pressure to duplicate large volumes of geographically distributed user data in a real-time manner. Meanwhile, with the expansion of Inter-DC networks scale, link/node failures also become increasingly frequent, negatively affecting the…
Cloud Computing
Industry researchBaidu (China)73 citations
A2C-DRL: Dynamic Scheduling for Stochastic Edge–Cloud Environments Using A2C and Deep Reinforcement Learning
Resource management challenges frequently manifest in systems and networks as tough online decision tasks, for which the proper solution is dependent on an understanding of the workload and environment and facilitates smooth use of mobile edge and cloud resources. Due to the geographical dispersion of resources, constrained resource capacity,…
Cloud Computingcloudschedulingedge
Industry researchHuawei Technologies (China)10 citations
Joint Optimization of Parallelism and Resource Configuration for Serverless Function Steps
Function-as-a-Service (FaaS) offers a fine-grained resource provision model, enabling developers to build highly elastic cloud applications. User requests are handled by a series of serverless functions step by step, which forms a multi-step workflow.
Cloud Computingserverless
Industry researchAlibaba Group (China)13 citations
An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems
The wide adoption of Docker containers for supporting agile and elastic enterprise applications has led to a broad proliferation of container images. The associated storage performance and capacity requirements place a high pressure on the infrastructure of container registries that store and distribute images and container storage systems on the Docker…
Cloud Computingstorage
Industry researchOracle (United States)25 citations
Oracle OIPA Cloud Migration Analysis: Machine Learning Models for Predicting Resource Utilization and Success Outcomes
This study examines Oracle Insurance Policy Administration (OIPA) Coud Migration projects, analyzing 30 implementations that migrated from SQL Server to Oracle Cloud Infrastructure (OCI) environments. The research focuses on Universal Life Insurance systems migrating from AWS-hosted environments to Oracle’s cloud platform, including site upgrades from…
Cloud Computingcloud
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