Výsledky vyhľadávania - "Computer systems organisation Architectures Distributed architecture Cloud computing"

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. However, low resource utilization in modern datacenters brings…”
Získať plný text

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. An…”
Získať plný text

SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale Autor 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…”
Získať plný text

Benchmarking microservice systems for software engineering research Autor 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…”
Získať plný text

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. Performance anomalies…”
Získať plný text

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. We find that cloud compute servers cause the majority of emissions…”
Získať plný text

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…”
Získať plný text

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) tasks more efficiently than state-of-the-art…”
Získať plný text

iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks Autor 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…”
Zistit podrobnosti o prístupe

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. In this work, we perform a thorough…”
Získať plný text

iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks Autor 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…”
Zistit podrobnosti o prístupe

Scale-out acceleration for machine learning Autor 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…”
Získať plný text

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…”
Získať plný text

Resilient Federated Learning on Embedded Devices with Constrained Network Connectivity Autor 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…”
Získať plný text

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. It enables dynamic provisioning or…”
Získať plný text

BenchCloud: A Platform for Scalable Performance Benchmarking Autor 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…”
Získať plný text

A Container-Based Infrastructure for Fuzzy-Driven Root Causing of Flaky Tests Autor 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…”
Získať plný text

nvshare: Practical GPU Sharing Without Memory Size Constraints Autor 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…”
Získať plný text

PowerChief: Intelligent power allocation for multi-stage applications to improve responsiveness on power constrained CMP Autor 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…”
Získať plný text

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. These characteristics…”
Získať plný text