Load Balancing Servers, Firewalls, and Caches
Load Balancing Servers, Firewalls, and Caches
Optimizing Network Performance with Content Switching: Server, Firewall and Cache Load Balancing
Optimizing Network Performance with Content Switching: Server, Firewall and Cache Load Balancing
Windows Server 2003 Clustering & Load Balancing
Windows Server 2003 Clustering & Load Balancing
Indexing multi-dimensional time-series with support for multiple distance measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Exact indexing of dynamic time warping
Knowledge and Information Systems
Cloud Computing, A Practical Approach
Cloud Computing, A Practical Approach
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Nowadays there is huge amount of buzz in Information Technology about the word Cloud Computing, what does it actually means known to very few people I can described it nothing but the model of your Industry on pay per use basis, whatever you required take specify it, take it on rent, use it and pay as per your usage only. For example you required huge servers, you required huge hard disk space to store your data, and all is available on rent basis with the proper SLA. Then question arises about how to manage these all resources which you are renting, that is all the hectic of cloud managers they will manages the load, traffic coming to these resources which they are providing. This management of the load across the distributed servers which may be located anywhere in the world can be carried out with proper strategy, algorithms. In this paper we are trying to carry out implementation of an algorithm which balances the incoming load across different servers present in the cloud, there is slight difference in the general load balancing and load balancing in the cloud. We can manage it by using well known first come first serve basic we can have round robin like algorithms but instead of that for more efficient and dynamic usage of the resources we are doing it by using signature pattern matching of the incoming requests and allocating the most efficient and proper resources to execute that incoming requests.