Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing

Author:

Sandur Atul1,Park ChanHo2,Volos Stavros3,Agha Gul1,Jeon Myeongjae2

Affiliation:

1. University of Illinois at Urbana-Champaign

2. UNIST

3. Microsoft Research

Funder

National Science Foundation

U.S. Department of Energy's

National Nuclear Security Administration

National Research Foundation of Korea(NRF)

Publisher

IEEE

Reference100 articles.

1. Mark: Exploiting cloud services for cost-effective, slo-aware machine learning inference serving;zhang;2019 USENIX Annual Technical Conference,2019

2. BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services

3. Autoscaling Web Applications in Heterogeneous Cloud Infrastructures

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2. Performance, Energy and Parallelism: Using Near Data Processing in Utility and Cloud Computing;2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC);2022-12

3. PHP Implementation of a Comprehensive Evaluation Platform for Innovative Talent Training Quality based on Internet Data Clustering and Integration;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20

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