Výsledky vyhledávání - Computer systems organisation Architectures Distributed architectures Cloud computing*

Designing Cloud Servers for Lower Carbon Autor Wang, Jaylen, Berger, Daniel S., Kazhamiaka, Fiodar, Irvene, Celine, Zhang, Chaojie, Choukse, Esha, Frost, Kali, Fonseca, Rodrigo, Warrier, Brijesh, Bansal, Chetan, Stern, Jonathan, Bianchini, Ricardo, Sriraman, Akshitha

“…To mitigate climate change, we must reduce carbon emissions from hyperscale cloud computing…”
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Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces Autor Guo, Jing, Chang, Zihao, Wang, Sa, Ding, Haiyang, Feng, Yihui, Mao, Liang, Bao, Yungang

“…Cloud platform provides great flexibility and cost-efficiency for end-users and cloud operators…”
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DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning Autor Zhang, Chenxi, Peng, Xin, Sha, Chaofeng, Zhang, Ke, Fu, Zhenqing, Wu, Xiya, Lin, Qingwei, Zhang, Dongmei

“…A microservice system in industry is usually a large-scale dis-tributed system consisting of dozens to thousands of services run-ning in different machines…”
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SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale Autor Sriraman, Akshitha, Dhanotia, Abhishek, Wenisch, Thomas F.

“… of scale, and curb qualification/test overheads. As such, there is an urgent need for strategies that enable limited server CPU architectures (a.k.a "SKUs…”
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AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Autor Li, Min, Li, Yu, Tian, Ye, Jiang, Li, Xu, Qiang

“…This paper presents AppealNet, a novel edge/cloud collaborative architecture that runs deep learning (DL…”
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Benchmarking microservice systems for software engineering research Autor Zhou, Xiang, Peng, Xin, Xie, Tao, Sun, Jun, Xu, Chenjie, Ji, Chao, Zhao, Wenyun

“… Based on the results of the gap analysis, we then develop and release a medium-size benchmark system of microservice architecture…”
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Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing Autor Liu, Xiangguo, Luo, Yunpeng, Goeckner, Anthony, Chakraborty, Trishna, Jiao, Ruochen, Wang, Ningfei, Wang, Yixuan, Sato, Takami, Chen, Qi Alfred, Zhu, Qi

“…The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks, and machine learning techniques have brought both opportunities and challenges for next-generation connected…”
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EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency Autor Stojkovic, Jovan, Iliakopoulou, Nikoleta, Xu, Tianyin, Franke, Hubertus, Torrellas, Josep

“…While serverless computing is increasingly popular, its energy and power consumption behavior is hardly explored…”
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Invited: Caching in Automated Data Centric Vehicles for Edge Computing Scenarios Autor Sperling, Nora, Bendrick, Alex, Stohrmann, Dominik, Ernst, Rolf

“… the deployment of advanced edge and cloud computing services. A main reason is the established publisher-centric distribution mechanism that over-utilizes network resources…”
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Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching Autor Chen, Zhuangbin, Liu, Jinyang, Su, Yuxin, Zhang, Hongyu, Ling, Xiao, Lyu, Michael R.

“…To ensure the performance of online service systems, their status is closely monitored with various software and system metrics…”
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud Autor Stojkovic, Jovan, Misra, Pulkit A., Goiri, Inigo, Whitlock, Sam, Choukse, Esha, Das, Mayukh, Bansal, Chetan, Lee, Jason, Sun, Zoey, Qiu, Haoran, Zimmermann, Reed, Samal, Savyasachi, Warrier, Brijesh, Raniwala, Ashish, Bianchini, Ricardo

“… Based on the characterization insights, we propose SmartOClock, the first distributed overclocking management platform specifically designed for cloud environments…”
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ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models Autor Choi, Yujeong, Kim, Jiin, Rhu, Minsoo

“…With the increasing popularity of recommendation systems (RecSys), the demand for compute resources in data-centers has surged…”
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DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning Autor Meng, Chunyang, Song, Shijie, Tong, Haogang, Pan, Maolin, Yu, Yang

“…Autoscaling functions provide the foundation for achieving elasticity in the modern cloud computing paradigm…”
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Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning Autor Wang, Liang, Lu, Kai, Zhang, Nan, Qu, Xiaoyang, Wang, Jianzong, Wan, Jiguang, Li, Guokuan, Xiao, Jing

“…This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video of changing scenes…”
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AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows Autor Jin, Lingxiao, Cai, Zinuo, Chen, Zebin, Zhao, Hongyu, Ma, Ruhui

“…Serverless computing is increasingly adopted for its ability to manage complex, event-driven workloads without the need for infrastructure provisioning…”
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LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies Autor Odema, Mohanad, Rashid, Nafiul, Demirel, Berken Utku, Faruque, Mohammad Abdullah Al

“…Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs…”
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Energy Efficiency Through Architectural Tactics for Self-Adaptive Cloud Systems Autor Medeiros, Henrique

“…[CONTEXT] Cloud computing provides many benefits, such as virtualization, high availability, low cost of maintenance, and elasticity…”
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CoFI: Consistency-Guided Fault Injection for Cloud Systems Autor Chen, Haicheng, Dou, Wensheng, Wang, Dong, Qin, Feng

“…Network partitions are inevitable in large-scale cloud systems. Despite developer's efforts in handling network partitions throughout designing, implementing and testing cloud systems, bugs caused by network partitions, i.e…”
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ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems Autor Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi

“…Edge devices have been widely adopted to bring deep learning applications onto low power embedded systems, mitigating the privacy and latency issues of accessing cloud servers…”
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EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge Autor Xu, Jia, Liu, Xiao, Pan, Wuzhen, Li, Xuejun, Yao, Aiting, Yang, Yun

“… It is crucial to design scalable, efficient, and reliable software solutions for large-scale AIoT systems in edge computing environments…”
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