Link-sharing and resource management models for packet networks
IEEE/ACM Transactions on Networking (TON)
What Networking of Information Can Do for Cloud Computing
WETICE '09 Proceedings of the 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises
Cloud Computing Research and Development Trend
ICFN '10 Proceedings of the 2010 Second International Conference on Future Networks
Cloud Computing: Issues and Challenges
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
A Novel Parallel Traffic Control Mechanism for Cloud Computing
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
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Cloud computing is Internet - connected mode of supercomputing. In cloud computing all the resources are provided as service that causes high traffic on cloud. So an efficient traffic management mechanism is required for cloud environment. Hierarchical link sharing algorithms like HTB (Hierarchical Token Bucket) are suitable for cloud traffic management, because each class in HTB can borrow bandwidth from its parent. But the sequential HTB can afford only low speeds (0.5Gbps). For better performance, HTB can be parallelized to reduce concurrency in HTB key structure access. This parallel HTB could not only increase the processing rate, but also keep a well performance on stability. In this paper, we propose an adaptive bandwidth management mechanism based on parallelized version of HTB. This packet scheduler uses inference mechanism to identify the bandwidth requirement and allocate bandwidth dynamically. Finally, we evaluate the effectiveness of the proposed scheme through extensive simulation studies.