Search Results - "Information systems Data management systems Middleware for databases"

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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Rubik: Fast analytical power management for latency-critical systems by Kasture, Harshad, Bartolini, Davide B., Beckmann, Nathan, Sanchez, Daniel

“…Latency-critical workloads (e.g., web search), common in datacenters, require stable tail (e.g., 95 th percentile) latencies of a few milliseconds. Servers…”
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Alternate Path μ-op Cache Prefetching by Singh, Sawan, Perais, Arthur, Jimborean, Alexandra, Ros, Alberto

“…Datacenter applications are well-known for their large code footprints. This has caused frontend design to evolve by implementing decoupled fetching and large…”
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Power management of online data-intensive services by Meisner, David, Sadler, Christopher M., Barroso, Luiz André, Weber, Wolf-Dietrich, Wenisch, Thomas F.

“…Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI)…”
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CoScale: Coordinating CPU and Memory System DVFS in Server Systems by Deng, Qingyuan, Meisner, David, Bhattacharjee, Abhishek, Wenisch, Thomas F., Bianchini, Ricardo

“…Recent work has introduced memory system dynamic voltage and frequency scaling (DVFS), and has suggested that balanced scaling of both CPU and the memory…”
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nuKSM: NUMA-aware Memory De-duplication on Multi-socket Servers by Panda, Akash, Panwar, Ashish, Basu, Arkaprava

“…An operating system has many memory management goals including reducing memory access latency, and reducing memory footprint. These goals can conflict with…”
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Native DRAM Cache: Re-architecting DRAM as a Large-Scale Cache for Data Centers by Ryu, Yesin, Kim, Yoojin, Jung, Giyong, Ahn, Jung Ho, Kim, Jungrae

“…Contemporary data center CPUs are experiencing an unprecedented surge in core count. This trend necessitates scrutinized Last-Level Cache (LLC) strategies to…”
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Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation by Pan, Xiurui, An, Yuda, Liang, Shengwen, Mao, Bo, Zhang, Mingzhe, Li, Qiao, Jung, Myoungsoo, Zhang, Jie

“…Cross-silo federated learning (FL) leverages homomorphic encryption (HE) to obscure the model updates from the clients. However, HE poses the challenges of…”
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AgilePkgC: An Agile System Idle State Architecture for Energy Proportional Datacenter Servers by Antoniou, Georgia, Volos, Haris, Bartolini, Davide B., Rollet, Tom, Sazeides, Yiannakis, Yahya, Jawad Haj

“…Modern user-facing applications deployed in datacenters use a distributed system architecture that exacerbates the latency requirements of their constituent…”
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Automatic generation of software behavioral models by Lorenzoli, D., Mariani, L., Pezze, M.

“…Dynamic analysis of software systems produces behavioral models that are useful for analysis, verification and testing. The main techniques for extracting…”
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KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity by Wong, Daniel, Annavaram, Murali

“…Server energy proportionality has been improving over the past several years. Many components in a system, such as CPU, memory and disk, have been achieving…”
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AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers by Ayers, Grant, Ranganathan, Parthasarathy, Nagendra, Nayana Prasad, August, David I., Cho, Hyoun Kyu, Kanev, Svilen, Kozyrakis, Christos, Krishnamurthy, Trivikram, Litz, Heiner, Moseley, Tipp

“…The large instruction working sets of private and public cloud workloads lead to frequent instruction cache misses and costs in the millions of dollars. While…”
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Towards sustainable in-situ server systems in the big data era by Li, Chao, Hu, Yang, Liu, Longjun, Gu, Juncheng, Song, Mingcong, Liang, Xiaoyao, Yuan, Jingling, Li, Tao

“…Recent years have seen an explosion of data volumes from a myriad of distributed sources such as ubiquitous cameras and various sensors. The challenges of…”
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Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments by Lim, Kevin, Ranganathan, Parthasarathy, Chang, Jichuan, Patel, Chandrakant, Mudge, Trevor, Reinhardt, Steven

“…This paper seeks to understand and design next-generation servers for emerging "warehouse-computing" environments. We make two key contributions. First, we put…”
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DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning by Corradini, Davide, Montolli, Zeno, Pasqua, Michele, Ceccato, Mariano

“…Automatically crafting test scenarios for REST APIs helps deliver more reliable and trustworthy web-oriented systems. However, current black-box testing…”
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LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism by Wang, Xuheng, Song, Jiaxing, Zhang, Xu, Tang, Junshu, Gao, Weihe, Lin, Qingwei

“…Logs are prevalent in modern cloud systems and serve as a valuable source of information for system maintenance. Over the years, a lot of research and…”
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MemSeer: Leverage Memory Failure Distinctions and Multi-Grained Prediction in Ultra-Scale Heterogeneous X86/ARM Clusters by Gu, Yunfei, Liu, Yixuan, Wu, Xinyuan, Shao, Bo, Wu, Chentao, Li, Shiyi, Zhao, Jieru, Li, Jie, Guo, Minyi, Yang, Kunlin, Zhang, Wengui, Lin, Feilong

“…In high-performance ultra-scale cloud computing, heterogeneous clusters consisting of x86 and ARM architecture platforms have become increasingly common to…”
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A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs by Kim, Myeongsoo, Stennett, Tyler, Sinha, Saurabh, Orso, Alessandro

“…As modern web services increasingly rely on REST APIs, their thorough testing has become crucial. Furthermore, the advent of REST API documentation languages,…”
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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

“…Operating server components beyond their voltage and power design limit (i.e., overclocking) enables improving performance and lowering cost for cloud…”
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DCS: A fast and scalable device-centric server architecture by Jaehyung Ahn, Dongup Kwon, Youngsok Kim, Ajdari, Mohammadamin, Jaewon Lee, Jangwoo Kim

“…Conventional servers have achieved high performance by employing fast CPUs to run compute-intensive workloads, while making operating systems manage relatively…”
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