2015 International Conference on Computational Intelligence and Networks, 2015
ABSTRACT In today's highly integrated world, when solutions to problems are cross discipl... more ABSTRACT In today's highly integrated world, when solutions to problems are cross disciplinary in nature, Soft computing promises to become a powerful means for obtaining solutions to problem quickly, accurately and acceptably. Soft computing refers to a consortium of computational methodologies that has motivated many scientific researchers to contribute their efforts in designing highly powerful intelligent systems. During the early 20th century, the advent of malignant tissues in the human cells came into knowledge of medical researchers. A herculean task of classifying the tumorous cells became a very challenging task in the gamut of information, especially in the field of intelligent systems. In this work, we have applied Artificial Bee Colony (ABC) optimization along with the supervised learning technique i.e. Support vector machine (SVM) to estimate the cost of classification. We have also simulated the cancerous dataset with the implementation of Cat Swarm Optimization (CSO) with SVM. Prior to classification, we have tried our level best to eliminate redundant and unwanted data with the help of Principal Component Analysis (PCA) technique. A great deal of work in predicting feasible as well as global best solutions have been put forward by many innovative and advanced heuristic search strategies.
2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014
ABSTRACT Literature meaning of cloud computing is distributed computing, storing, sharing and acc... more ABSTRACT Literature meaning of cloud computing is distributed computing, storing, sharing and accessing data over the Internet. It provides a pool of shared resources to the users available on the basis of pay as you go service, means users pay only for those services which are used by him according to their access times. The data processing and storage amount is increasing quickly day by day in cloud environment. This leads to an uneven distribution of overall work on cloud resources. So a proper balance of overall load over the available resources is a major issue in cloud computing paradigm. Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. It also minimizes the time and cost involved in such big computing models. Load balancing and better resource utilization is provided by many existing algorithms. To overcome load balancing problem this paper provides a summary of evolutionary and swarm based algorithms which will help to overcome such problem in different environment of cloud.
2015 International Conference on Computational Intelligence and Networks, 2015
ABSTRACT In today's highly integrated world, when solutions to problems are cross discipl... more ABSTRACT In today's highly integrated world, when solutions to problems are cross disciplinary in nature, Soft computing promises to become a powerful means for obtaining solutions to problem quickly, accurately and acceptably. Soft computing refers to a consortium of computational methodologies that has motivated many scientific researchers to contribute their efforts in designing highly powerful intelligent systems. During the early 20th century, the advent of malignant tissues in the human cells came into knowledge of medical researchers. A herculean task of classifying the tumorous cells became a very challenging task in the gamut of information, especially in the field of intelligent systems. In this work, we have applied Artificial Bee Colony (ABC) optimization along with the supervised learning technique i.e. Support vector machine (SVM) to estimate the cost of classification. We have also simulated the cancerous dataset with the implementation of Cat Swarm Optimization (CSO) with SVM. Prior to classification, we have tried our level best to eliminate redundant and unwanted data with the help of Principal Component Analysis (PCA) technique. A great deal of work in predicting feasible as well as global best solutions have been put forward by many innovative and advanced heuristic search strategies.
2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014
ABSTRACT Literature meaning of cloud computing is distributed computing, storing, sharing and acc... more ABSTRACT Literature meaning of cloud computing is distributed computing, storing, sharing and accessing data over the Internet. It provides a pool of shared resources to the users available on the basis of pay as you go service, means users pay only for those services which are used by him according to their access times. The data processing and storage amount is increasing quickly day by day in cloud environment. This leads to an uneven distribution of overall work on cloud resources. So a proper balance of overall load over the available resources is a major issue in cloud computing paradigm. Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. It also minimizes the time and cost involved in such big computing models. Load balancing and better resource utilization is provided by many existing algorithms. To overcome load balancing problem this paper provides a summary of evolutionary and swarm based algorithms which will help to overcome such problem in different environment of cloud.
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