A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing

By Martin Randles, David John Lamb, Azzelarabe Taleb-Bendiab. 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, 2010

646 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/f7937f8de5647e99537e6304f4c9eaa0f2e0e2a5

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. Jameela Al-Jaroodi
2. Nader Mohamed
3. Xiaowei Zhu
4. Wenguang Chen
5. Wentao Han
6. Inderveer Chana
7. Nidhi Jain Kansal

In Information Systems

1. Jameela Al-Jaroodi
2. Nader Mohamed
3. Inderveer Chana
4. Nidhi Jain Kansal

Citations in the corpus

• A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms (2012, background): “In Cloud Computing the main concerns involve efficiently assigning tasks to the Cloud nodes such that the effort and request processing is done as efficiently as possible [1], while being able to tolerate the various affecting constraints such as heterogeneity and high communication delays.”
• Cloud Load Balancing Techniques : A Step Towards Green Computing (2012, methodology): “• Honeybee Foraging Behavior - M. Randles et al. [14] investigated a decentralized honeybee-based load balancing technique that is a nature-inspired algorithm for self-organization.”
• GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning (2015, background): “However, load imbalance [11, 20], synchronization overhead [33] and fault tolerance overhead [27] are still challenges for graph processing in distributed environment.”