Building Instance Aware Systems using Explicit Performance Modeling
Computer systems are often optimized to realize the best performance possible. However, these optimization techniques are typically blind to the system’s actual workload or the particular environment in which the system is deployed. The lack of awareness of the full picture, or “instance”, limits th...
Main Author: | Nathan, Vikram |
---|---|
Other Authors: | Alizadeh, Mohammad |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/143317 https://orcid.org/0000-0003-0189-0271 |
Similar Items
-
Key instance detection in multi-instance learning
by: Liu, Guoqing, et al.
Published: (2014) -
Instance LSeg - exploring instance level information from visual language model
by: Lin, Zixing
Published: (2023) -
Community Aware Recommendation System with Explicit
and Implicit Link Prediction
by: Muhammed E Abd Alkhalec Tharwat, Muhammed E Abd Alkhalec Tharwat, et al.
Published: (2023) -
Towards instance-optimized data systems
by: Kraska, Tim
Published: (2022) -
Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
by: Li, Baolin, et al.
Published: (2022)