SMSE: A serverless platform for multimedia cloud systems
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Published:2023-12-04
Issue:4
Volume:36
Page:
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ISSN:1532-0626
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Container-title:Concurrency and Computation: Practice and Experience
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language:en
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Short-container-title:Concurrency and Computation
Author:
Denninnart Chavit1ORCID,
Amini Salehi Mohsen1ORCID
Affiliation:
1. High Performance Cloud Computing (HPCC) Laboratory, Computing Science and Engineering University of North Texas Denton Texas USA
Abstract
SummaryAlong with the rise of domain‐specific computing (ASICs hardware) and domain‐specific programming languages, we envision that the next step is the emergence of domain‐specific cloud platforms. Considering multimedia streaming as one of the most trendy applications in the IT industry, the goal of this study is to develop serverless multimedia streaming engine (SMSE), the first domain‐specific serverless platform for multimedia streaming. SMSE democratizes multimedia service development via enabling content providers (or even end‐users) to rapidly develop their desired functionalities on their multimedia contents. Upon developing SMSE, the next goal of this study is to deal with its efficiency challenges and develop a function container provisioning method that can efficiently utilize cloud resources and improve the users' quality of service. In particular, we develop a dynamic method that provisions durable or ephemeral containers depending on the spatiotemporal and data‐dependency characteristics of the functions. Evaluating the prototype implementation of SMSE under real‐world settings demonstrates its capability to reduce both the containerization overhead, and the makespan time of serving multimedia processing functions (by up to 30%) in compare to the function provision methods that are being used in the general‐purpose serverless cloud systems.
Funder
National Science Foundation of Sri Lanka
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Reference45 articles.
1. Amazon.Aws inferentia—Amazon web services (AWS). 2021. Accessed December 24 2021.https://aws.amazon.com/machine‐learning/inferentia/
2. Q100
3. Intel Quick Sync Encoder. Accessed June 7 2021.https://www.intel.com/content/www/us/en/architecture‐and‐technology/quick‐sync‐video/quick‐sync‐video‐general.html
4. How VP9 delivers value for Twitch's esports live streaming. Accessed June 7 2021.https://blog.twitch.tv/en/2018/12/19/how‐v‐p9‐delivers‐value‐for‐twitch‐s‐esports‐live‐streaming‐35db26f6322f