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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…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-25 Qin Hua , Dingyu Yang , Shiyou Qian , Jian Cao , Guangtao Xue , Minglu Li

This paper presents a novel fuzzing framework, called MicroFuzz, specifically designed for Microservices. Mocking-Assisted Seed Execution, Distributed Tracing, Seed Refresh and Pipeline Parallelism approaches are adopted to address the…

Software Engineering · Computer Science 2024-02-06 Peng Di , Bingchang Liu , Yiyi Gao

Meeting the requirements of future services with time sensitivity and handling sudden load spikes of the services in Fog computing environments are challenging tasks due to the lack of publicly available Fog nodes and their characteristics.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-05 Sudheer Kumar Battula , Saurabh Garg , James Montgomery , Ranesh Naha

Serverless Function-as-a-Service (FaaS) is a popular cloud paradigm to quickly and cheaply implement complex applications. Because the function instances cloud providers start to execute user code run on shared infrastructure, their…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-27 Trever Schirmer , Natalie Carl , Nils Höller , Tobias Pfandzelter , David Bermbach

Anomaly detection systems aim to detect and report attacks or unexpected behavior in networked systems. Previous work has shown that anomalies have an impact on system performance, and that performance signatures can be effectively used for…

Metadata hotspots remain one of the key obstacles to scalable Input/Output (I/O) in both High-Performance Computing (HPC) and cloud-scale storage environments. Situations such as job start-ups, checkpoint storms, or heavily skewed namespace…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-25 Sangam Ghimire , Nigam Niraula , Nirjal Bhurtel , Paribartan Timalsina , Bishal Neupane , James Bhattarai , Sudan Jha

The proposed RMS-FlowNet++ is a novel end-to-end learning-based architecture for accurate and efficient scene flow estimation that can operate on high-density point clouds. For hierarchical scene f low estimation, existing methods rely on…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Ramy Battrawy , René Schuster , Didier Stricker

The metadata service (MDS) sits on the critical path for distributed file system (DFS) operations, and therefore it is key to the overall performance of a large-scale DFS. Common "serverful" MDS architectures, such as a single server or…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-22 Benjamin Carver , Runzhou Han , Jingyaun Zhang , Mai Zheng , Yue Cheng

Cloud-native systems represent a significant leap in constructing scalable, large systems, employing microservice architecture as a key element in developing distributed systems through self-contained components. However, the decentralized…

Software Engineering · Computer Science 2024-07-25 Amr S. Abdelfattah

Instance segmentation on point clouds is a fundamental task in 3D scene perception. In this work, we propose a concise clustering-based framework named HAIS, which makes full use of spatial relation of points and point sets. Considering…

Computer Vision and Pattern Recognition · Computer Science 2021-08-06 Shaoyu Chen , Jiemin Fang , Qian Zhang , Wenyu Liu , Xinggang Wang

Function-as-a-Service (FaaS) is a cloud service model enabling developers to offload event-driven executable snippets of code. The execution and management of such functions becomes a FaaS provider's responsibility, hereby included their…

Software Engineering · Computer Science 2020-04-03 Vladimir Yussupov , Jacopo Soldani , Uwe Breitenbücher , Antonio Brogi , Frank Leymann

Hybrid cloud provides an attractive solution to microservices for better resource elasticity. A subset of application components can be offloaded from the on-premises cluster to the cloud, where they can readily access additional resources.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-14 Ka-Ho Chow , Umesh Deshpande , Veera Deenadhayalan , Sangeetha Seshadri , Ling Liu

The advent of Industrial Internet of Things (IIoT) has imposed more stringent requirements on industrial software in terms of communication delay, scalability, and maintainability. Microservice architecture (MSA), a novel software…

Software Engineering · Computer Science 2023-12-25 Teng Zhong , Yinglei Teng , Shijun Ma , Jiaxuan Chen , Sicong Yu

Foundation models (FMs) unlock unprecedented multimodal and multitask intelligence, yet their cloud-centric deployment precludes real-time responsiveness and compromises user privacy. Meanwhile, monolithic execution at the edge remains…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Juan Zhu , Zixin Wang , Shenghui Song , Jun Zhang , Khaled Ben Letaief

In large IT systems, software deployment is a crucial process in online services as their code is regularly updated. However, a faulty code change may degrade the target service's performance and cause cascading outages in downstream…

Machine Learning · Computer Science 2024-06-07 Jingchao Ni , Gauthier Guinet , Peihong Jiang , Laurent Callot , Andrey Kan

With the enhancements in the field of software-defined networking and virtualization technologies, novel networking paradigms such as network function virtualization (NFV) and the Internet of things (IoT) are rapidly gaining ground.…

Networking and Internet Architecture · Computer Science 2019-04-01 Deval Bhamare , Mohammed Samaka , Aiman Erbad , Raj Jain , Lav Gupta

A fundamental challenge in large-scale cloud networks and data centers is to achieve highly efficient server utilization and limit energy consumption, while providing excellent user-perceived performance in the presence of uncertain and…

Probability · Mathematics 2017-06-23 Debankur Mukherjee , Souvik Dhara , Sem Borst , Johan S. H. van Leeuwaarden

Content providers build serving stacks to deliver content to users. An important goal of a content provider is to ensure good user experience, since user experience has an impact on revenue. In this paper, we describe a system at Yahoo…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-26 Partha Kanuparthy , Yuchen Dai , Sudhir Pathak , Sambit Samal , Theophilus Benson , Mojgan Ghasemi , P. P. S. Narayan

Cloud computing has established itself as the support for the vast majority of emerging technologies, mainly due to the characteristic of elasticity it offers. Auto-scalers are the systems that enable this elasticity by acquiring and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-24 Víctor Rampérez , Javier Soriano , David Lizcano , Juan A. Lara

Modern cloud servers routinely co-locate multiple latency-sensitive microservice instances to improve resource efficiency. However, the diversity of microservice behaviors, coupled with mutual performance interference under simultaneous…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-02 Dingyu Yang , Fanyong Kong , Jie Dai , Shiyou Qian , Shuangwei Li , Jian Cao , Guangtao Xue , Gang Chen
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