Stability of solitary-wave solutions of coupled NLS equations with power-type nonlinearities

This paper proves existence and stability results of solitary-wave solutions to coupled nonlinear Schr\"{o}dinger equations with power-type nonlinearities arising in several models of modern physics. The existence of solitary waves is obtained by solving a variational problem subject to two independent constraints and using the concentration-compactness method. The set of minimizers is shown to be stable and further information about the structures of this set are given. The paper extends the results previously obtained by Cipolatti and Zumpichiatti, Nguyen and Wang, and Ohta

Network traffic analyzer and simulator for cloud ecosystem

Master's thesis in Computer scienceCloud computing is the computing service that is access through the Internet. The term cloud refers to the Internet and computing refers to the services that is provided through the Internet. The cloud provides the enormous services to the user providing the entire infrastructure in the cloud server with reducing the cost of infrastructure development. The cloud provides the service in request of customer to fulfill their business needs. Actually the performance of cloud depends on various factors which depends the reliability of customer towards the Internet. Among those various affecting factors, one of the major factors is the network traffic which makes delay in response of the request which ultimately increases the customer dissatisfaction. In this paper, we analyze the network traffic and sampling of network traffic in the cloud ecosystem. The data is migrated to cloud and the network traffic is analyzed and sampled during the process. Our main aim is to analyze the network traffic and traffic sampling of the cloud ecosystem. For this process the simulator tool record the start and end time of data transfer to cloud environment. Then from this record, the total time taken in different network traffic scenario can be visualized. It helps to compare the traffic rate while varying the data size on migrating to cloud. Furthermore, the rate of transfer of data packet is calculated. It also calculates the average rate of transfer of data under different network condition. In simple the tool migrates the data to cloud platform, analyze the network traffic and also does sampling of traffic when there is heavy network traffic during the migrating process. Monitoring the performance of CPU and memory is another important feature which provides the information of the performance of the system. We hope this work helps the user or any cloud migration analyst to study the network traffic and to provide satisfaction over cloud services. They can estimate their total time taken to migrate their data in cloud on the basis of data size. It also provides information about other network parameter like the transfer rate of packet, average rate of flow of data in different network condition, relation of data size and time, the bytes of data transfer to and from the network in each time interval