On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers

By Sunil Nakrani, Craig A. Tovey. Adaptive Behavior, 2004

315 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/a24efef38e09ada3ebc7b772f64d58f2a7e595d6

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. Azzelarabe Taleb-Bendiab
2. Kenneth Sörensen
3. Patrick Siarry
4. Dervis Karaboga
5. Shengxiang Yang
6. Michalis Mavrovouniotis
7. Ilhem Boussaïd
8. Xin-She Yang

In Electrical and Electronic Engineering

1. Bahriye Akay
2. Dervis Karaboga
3. Xin-She Yang
4. Patrick Siarry
5. Ilhem Boussaïd
6. Julien Lepagnot
7. Azzelarabe Taleb-Bendiab
8. Kenneth Sörensen

In Information Systems

1. Azzelarabe Taleb-Bendiab
2. Kenneth Sörensen
3. Patrick Siarry
4. Dervis Karaboga
5. Shengxiang Yang
6. Michalis Mavrovouniotis
7. Ilhem Boussaïd
8. Xin-She Yang

Citations in the corpus

• Engineering Optimizations via Nature-Inspired Virtual Bee Algorithms (2005, background): “Based on these major characteristics, scientists have developed several powerful algorithms [1, 11].”
• Metaheuristics - the metaphor exposed (2015, methodology): “…because – as if Fred Glover’s words were meant to be anything but sarcastic – in 2004 the world was introduced to the bees optimization algorithm (Nakrani and Tovey, 2004), followed a year later by the artificial bee colony algorithm (Karaboga, 2005), and yet another year later by the honey…”
• A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017, methodology): “Nakrani and Tovey [232] used a new bee algorithm (e.”
• A survey of autonomic communications (2006, methodology): “Other very encouraging results on concrete applications (e.g., server farm management [Nakrani and Tovey 2004]) have been obtained using Monte Carlo simulation techniques but have never been tested exper­imentally.”
• A survey on optimization metaheuristics (2013, methodology): “Inspired by the cooperative behavior of social honey bees, some algorithms have been develope d, among them are Decentralized Honey Bee algorithm [192], Swan [118] and Honey Bee Teamwork Strategy [233].”
• A survey: algorithms simulating bee swarm intelligence (2009, methodology): “Nakrani and Tovey (2004b) proposed a decentralized honey bee algorithm which dynamically allocates servers to satisfy request loads.”
• Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, unknown): “Nakrani and Tovey (2004) 19.”
• A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing (2010, methodology): “1 [14].”