Search Results - Computer systems organisation Architectures Distributed architectures Cloud computing~

Designing Cloud Servers for Lower Carbon by 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…”
Get full text

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference by 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…”
Get full text

Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces by 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…”
Get full text

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning by 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…”
Get full text

ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models by Choi, Yujeong, Kim, Jiin, Rhu, Minsoo

“…With the increasing popularity of recommendation systems (RecSys), the demand for compute resources in data-centers has surged…”
Get full text

DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning by 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…”
Get full text

DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning by Meng, Chunyang, Song, Shijie, Tong, Haogang, Pan, Maolin, Yu, Yang

“…Autoscaling functions provide the foundation for achieving elasticity in the modern cloud computing paradigm…”
Get full text

AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows by 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…”
Get full text

ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems by 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…”
Get full text

SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale by 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…”
Get full text

EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge by 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…”
Get full text

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud by 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…”
Get full text

EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency by 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…”
Get full text

Derm: SLA-aware Resource Management for Highly Dynamic Microservices by 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…”
Get full text

Energy Efficiency Through Architectural Tactics for Self-Adaptive Cloud Systems by Medeiros, Henrique

“…[CONTEXT] Cloud computing provides many benefits, such as virtualization, high availability, low cost of maintenance, and elasticity…”
Get full text

Invited: Caching in Automated Data Centric Vehicles for Edge Computing Scenarios by 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…”
Get full text

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems by 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…”
Get full text

LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies by Odema, Mohanad, Rashid, Nafiul, Demirel, Berken Utku, Faruque, Mohammad Abdullah Al

“…Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs…”
Get full text

MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems by 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…”
Get full text

Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing by 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…”
Get full text