Search Results - "Computer system organisation Architectures Distributed architecture Cloud computing"

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. However, low resource utilization in modern datacenters brings…”
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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. An…”
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SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale by Sriraman, Akshitha, Dhanotia, Abhishek, Wenisch, Thomas F.

“…The variety and complexity of microservices in warehouse- scale data centers has grown precipitously over the last few years to support a growing user base and…”
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Benchmarking microservice systems for software engineering research by Zhou, Xiang, Peng, Xin, Xie, Tao, Sun, Jun, Xu, Chenjie, Ji, Chao, Zhao, Wenyun

“…Despite the prevalence and importance of microservices in industry, there exists limited research on microservices, partly due to lacking a benchmark system…”
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Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching by 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. Performance anomalies…”
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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. We find that cloud compute servers cause the majority of emissions…”
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CoFI: Consistency-Guided Fault Injection for Cloud Systems by 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…”
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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) tasks more efficiently than state-of-the-art…”
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iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks by Kalmegh, Prajakta, Babu, Shivnath, Roy, Sudeepa

“…Resource interferences caused by concurrent queries is one of the key reasons for unpredictable performance and missed workload SLAs in cluster computing…”
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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. In this work, we perform a thorough…”
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iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks by Kalmegh, Prajakta, Lundberg, Harrison, Xu, Frederick, Babu, Shivnath, Roy, Sudeepa

“…Unpredictability in query runtimes can arise in a shared cluster as a result of resource contentions caused by inter-query interactions. iQCAR - nter uery…”
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Scale-out acceleration for machine learning by Park, Jongse, Sharma, Hardik, Mahajan, Divya, Kim, Joon Kyung, Olds, Preston, Esmaeilzadeh, Hadi

“…The growing scale and complexity of Machine Learning (ML) algorithms has resulted in prevalent use of distributed general-purpose systems. In a rather disjoint…”
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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…”
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Resilient Federated Learning on Embedded Devices with Constrained Network Connectivity by Li, Zihan, Liu, Han, Li, Ao, Chan, Ching-Hsiang, Vorobeychik, Yevgeniy, Yeoh, William, Lou, Wenjing, Zhang, Ning

“…Federated learning enables decentralized model training while preserving data privacy. However, since the learning process overlays the physical network…”
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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. It enables dynamic provisioning or…”
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BenchCloud: A Platform for Scalable Performance Benchmarking by Beyer, Dirk, Chien, Po-Chun, Jankola, Marek

“…Performance evaluation is a crucial method for assessing automated-reasoning tools. Evaluating automated tools requires rigorous benchmarking to accurately…”
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A Container-Based Infrastructure for Fuzzy-Driven Root Causing of Flaky Tests by Terragni, Valerio, Salza, Pasquale, Ferrucci, Filomena

“…Intermittent test failures (test flakiness) is common during continuous integration as modern software systems have become inherently non-deterministic…”
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nvshare: Practical GPU Sharing Without Memory Size Constraints by Alexopoulos, Georgios, Mitropoulos, Dimitris

“…GPUs are essential for accelerating Machine Learning (ML) work-loads. A common practice is deploying ML jobs as containers managed by an orchestrator such as…”
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PowerChief: Intelligent power allocation for multi-stage applications to improve responsiveness on power constrained CMP by Hailong Yang, Quan Chen, Riaz, Moeiz, Zhongzhi Luan, Lingjia Tang, Mars, Jason

“…Modern user facing applications consist of multiple processing stages with a number of service instances in each stage. The latency profile of these…”
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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. These characteristics…”
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