Collaborative Research: CNS Core: Small: Accelerating Serverless Cloud Network Performance

Information

  • NSF Award
  • 2229455
Owner
  • Award Id
    2229455
  • Award Effective Date
    1/1/2023 - 2 years ago
  • Award Expiration Date
    12/31/2025 - 5 months from now
  • Award Amount
    $ 299,788.00
  • Award Instrument
    Standard Grant

Collaborative Research: CNS Core: Small: Accelerating Serverless Cloud Network Performance

Serverless computing has revolutionized cloud programming and is poised to become the next dominant cloud computing paradigm. Among the major allures of serverless computing is “agile autoscaling”, which brings forth both efficiency and economic advantages. However, such flexibility is accompanied by new network performance challenges that are uniquely endemic to the serverless compute environments. For example: (1) internal function chain communication becomes a bottleneck for serverless applications and (2) a unified function gateway increases the number of indirect connections in function chains that further impairs network performance. This project proposes a cross-layered effort that seeks to optimize the function chain communication in severless-cloud environments by exploring multiple, synergistic strategies to reduce latency in function-chain communication. The proposed solution includes (1) a new QUIC-based network substrate that can simultaneously improve performance and security, without the need for tenant code modification and (2) use of data-plane programming and informed request prediction to optimize resource allocation and mitigate cold-start issues in serverless multi-tenant clouds.<br/> <br/>This work will empower a broad class of novel serverless applications with stringent latency and security requirements and our proposed designs will be universally applicable across popular cloud platforms. This project will make the proposed implementations open-source and publicly release our evaluation environments through the NSF Fabric testbed, thus benefiting diverse stakeholders. This project will actively explore the transition of our work to commercial cloud services and open-source serverless communities, such as OpenFaaS and the QUIC-go project. This project will incorporate a detailed education and outreach plan targeting undergraduate and graduate researchers (through courses and summer internships), and women and minorities (through organizations like ThriveWiSE).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Alexander Jonesalejones@nsf.gov7032928950
  • Min Amd Letter Date
    7/29/2022 - 2 years ago
  • Max Amd Letter Date
    7/29/2022 - 2 years ago
  • ARRA Amount

Institutions

  • Name
    SRI International
  • City
    MENLO PARK
  • State
    CA
  • Country
    United States
  • Address
    333 RAVENSWOOD AVE
  • Postal Code
    940253453
  • Phone Number
    7032478529

Investigators

  • First Name
    Vinod
  • Last Name
    Yegneswaran
  • Email Address
    vinod@csl.sri.com
  • Start Date
    7/29/2022 12:00:00 AM

Program Element

  • Text
    CSR-Computer Systems Research
  • Code
    7354

Program Reference

  • Text
    SMALL PROJECT
  • Code
    7923