This is such a cool piece of work! It unifies two completely separate techniques used often in cloud native settings:
1. Graceful degradation. E.g., disabling or weakening features in your app instead of erroring out.
2. Autoscaling to match capacity to demand.
Turns out, you can combine the two!
25.03.2025 03:57 β π 7 π 4 π¬ 0 π 0
LinkedIn
This link will take you to a page thatβs not on LinkedIn
Check out our paper and code, and say hi to @kapilagrawal.bsky.social if you are attending ASPLOS/EuroSys!
Tech Report π : arxiv.org/pdf/2312.12809
Code π»: github.com/NetSAIL-UCI/...
(received all three ACM reproducibility badges during artifact evaluation π
)
25.03.2025 03:47 β π 0 π 0 π¬ 0 π 0
4/ We also introduce ππππ©ππππ, a resilience benchmarking platform that can emulate realistic cloud environments at scale.
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3/ We build ππ‘π¨ππ§π’π±, the first automated resilience management system for containerized clouds, based on diagonal scaling. Phoenix can handle failures in a cluster of 100,000 nodes within 10 seconds.
25.03.2025 03:47 β π 2 π 0 π¬ 1 π 0
2/ We introduce the notion of π₯πͺπ’π¨π°π―π’π π΄π€π’ππͺπ―π¨, which involves selectively turning off less critical microservices during capacity crunch scenarios. By allowing apps to specify acceptable degraded states using criticality tags on microservices, we can enable a broader set of resilience objectives.
25.03.2025 03:47 β π 1 π 0 π¬ 1 π 0
1/ At ASPLOS'25, @kapilagrawal.bsky.social will present our paper, "Cooperative Graceful Degradation In Containerized Clouds." As cloud outages grow in cost and frequency, we put forward a vision for automated cloud resilience management with cooperative graceful degradation b/w apps & cloud π€
25.03.2025 03:47 β π 8 π 2 π¬ 1 π 1
I came across a video demonstrating the ideal qualities of a PhD student! π
22.02.2025 03:30 β π 3 π 0 π¬ 1 π 0
I hear this is where the cool people hang out now. I finally made the jump :)
04.02.2025 02:08 β π 8 π 0 π¬ 1 π 1
Organizational psychologist @Wharton. #1 NYT bestseller: THINK AGAIN. Podcasts: Re:Thinking & WorkLife. Diver. Arguing like Iβm right, listening like Iβm wrong.
Husband. Dad. Researcher. Educator. Photographer.
CS PhD @ UCIrvine
kapilagrawal95.github.io
Incremental Computing for AI, ML and Data teams.
Feldera.com
CS prof @UIC; computer scientist (networks & systems); previously Nvidia, Purdue, BITS-Pilani; tennis aficionado; designed a chip for the first MacBook Air.
Professing computery things at CMU, doing science at Two Sigma. Co-founder & former Executive Director of the Scala Center at EPFL. Past life: artist @ Cooper Union
Computer architect who started working on Random Access Memories around the same time as Daft Punk. One of us went platinum.
Assistant professor @IllinoisCDS
Incoming faculty at the Max Planck Institute for Software Systems
Postdoc at UW, working on Natural Language Processing
Recruiting PhD students!
π https://lasharavichander.github.io/
UW biology prof.
I study how information flows in biology, science, and society.
Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b
LLM course: https://thebullshitmachines.com
Corvids: https://tinyurl.com/mr2n5ymk
I don't like fascists.
he/him
www.nitindermohan.com
Assist. Prof. @tudelft | Previously @TU_Muenchen β @UnivHelsinkiCS β @IIITDelhi | Interested in Edge Computing, Transport Protocols, Internet Measurements
Assistant Professor, University of British Columbia (UBC)
http://www.vaastavanand.com
PhD student at Max Planck Institute for Software Systems
CTO at Databricks and CS professor at UC Berkeley. https://people.eecs.berkeley.edu/~matei/
CS prof at UC Berkeley. Distributed Systems and Databases. Baking, handball and football enthusiast. Avid cheese eater.
The opinions here are of my own.
Assistant Professor of CS at UCLA // Systems, Compilers, PL // he/they Website: https://angelhof.github.io/