skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 1

Search for: All records

Creators/Authors contains: "Zhou, Zhuangzhuang"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; (, International Symposium on High Performance Computer Architecture)
    Full Text Available 
  2. ; ; ; ; ; ; ; ; (, Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems)
    Full Text Available 
  3. ; ; (, ASPLOS'23)
    Full Text Available 
  4. ; ; ; ; (, 26th ACM International Con-ference on Architectural Support for Programming Languages and OperatingSystems (ASPLOS ’21))
    null (Ed.)
    Full Text Available 
  5. ; ; ; ; (, Workshop on ML for Computer Architecture and Systems (MLArchSys))
    Cloud applications are increasingly shifting to interactive and loosely-coupled microservices. Despite their advantages, microservices complicate resource management, due to inter-tier dependencies. We present Sinan and PuppetMaster, two cluster managers for interactive microservices that leverages easily-obtainable tracing data instead of empirical decisions, to infer the impact of a resource allocation on end-to-end performance, and allocate appropriate resources to each tier. In a preliminary evaluation of the system with an end-to-end social network built with microservices, we show that the cluster manager's data-driven approach allows the service to always meet its QoS without sacrificing resource efficiency. 
    more » « less
    Accepted Manuscript Full Text Available
  6. ; ; ; ; (, ML for Computer Architecture and Systems)
    Cloud applications are increasingly shifting to interactive and loosely-coupled microservices. Despite their advantages, microservices complicate resource management, due to inter-tier dependencies. We present Sinan, a cluster manager for interactive microservices that leverages easily-obtainable tracing data instead of empirical decisions, to infer the impact of a resource allocation on end-to-end performance, and allocate appropriate resources to each tier. In a preliminary evaluation of Sinan with an end-to-end social network built with microservices, we show that Sinan’s data-driven approach, allows the service to always meet its QoS without sacrificing resource efficiency. 
    more » « less
    Accepted Manuscript Full Text Available