Suchergebnisse - Computer systems organization Architectures Distributed architectures Cloud computing

Designing Cloud Servers for Lower Carbon von 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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AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference von 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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Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces von 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 von 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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Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning von 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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ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models von 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 von 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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AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows von 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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SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale von 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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ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems von 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 von 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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EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency von 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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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud von 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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Derm: SLA-aware Resource Management for Highly Dynamic Microservices von Chen, Liao, Luo, Shutian, Lin, Chenyu, Mo, Zizhao, Xu, Huanle, Ye, Kejiang, Xu, Chengzhong

“… solutions.In this paper, we present Derm, a new resource management system designed for microservice applications with highly dynamic graphs …”
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Energy Efficiency Through Architectural Tactics for Self-Adaptive Cloud Systems von Medeiros, Henrique

“… [CONTEXT] Cloud computing provides many benefits, such as virtualization, high availability, low cost of maintenance, and elasticity …”
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Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems von Liu, Jinyang, Jiang, Zhihan, Gu, Jiazhen, Huang, Junjie, Chen, Zhuangbin, Feng, Cong, Yang, Zengyin, Yang, Yongqiang, Lyu, Michael R.

“… Ensuring the reliability of cloud systems is critical for both cloud vendors and customers …”
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LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies von 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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Invited: Caching in Automated Data Centric Vehicles for Edge Computing Scenarios von 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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MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems von Hsia, Samuel, Golden, Alicia, Acun, Bilge, Ardalani, Newsha, DeVito, Zachary, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean

“… Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs …”
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Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing von 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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