Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale
Abstract
References
Index Terms
- Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale
Recommendations
Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale
POMACSWe consider the problem of balancing the load among servers in dense racks for microsecond-scale workloads. To balance the load in such settings tens of millions of scheduling decisions have to be made per second. Achieving this throughput while ...
Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale
SIGMETRICS '23We consider the problem of balancing the load among servers in dense racks for microsecond-scale workloads. To balance the load in such settings, tens of millions of scheduling decisions have to be made per second. Achieving this throughput while ...
Agent coalitions for load balancing in cloud data centers
AbstractThe workload of Cloud data centers is constantly fluctuating causing imbalances across physical hosts that may lead to violations of service-level agreements. To mitigate workload imbalances, this work proposes a concurrent agent-based ...
Highlights- Agents in coalitions progressively balance data center sections.
- Supported by a ...
Comments
Information & Contributors
Information
Published In
- General Chair:
- Evgenia Smirni,
- Program Chairs:
- Konstantin Avrachenkov,
- Phillipa Gill,
- Bhuvan Urgaonkar
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Abstract
Funding Sources
- CFI
- NSERC
- ORF
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 72Total Downloads
- Downloads (Last 12 months)31
- Downloads (Last 6 weeks)6
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in