Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web services

By Yi Lu, Qiaomin Xie, Gabriel Kliot, Alan Geller, J. Larus, Albert G. Greenberg. Performance evaluation (Print), 2011

417 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/6cc3df44a01bb1952fda79dca7152b966ce13df3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rolf Stadler
2. Brendan Jennings
3. Kathryn S. McKinley
4. Sameh Elnikety
5. Björn B. Brandenburg
6. Yuxiong He
7. Arpan Gujarati

In Information Systems

1. Rolf Stadler
2. Brendan Jennings
3. Arpan Gujarati

Citations in the corpus

• Resource Management in Clouds: Survey and Research Challenges (2015, background): “[149] address the state transfer issue by decoupling the discovery of the more lightly loaded servers from the process of workload assignment: servers indicate to load balancers when their processors are idle.”
• Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency (2017, methodology): “Based on these criteria, we evaluated the following three distributed LB policies: Partitioned scheduling (PART), Join-idle-queue (JIQ) [23], and Random dispatch (RAND).”