PERFORMANCE ANALYSIS OF CLOUD COMPUTING ENVIRONMENT AND COMPARISION WITH IAAS MODEL USING CLOUDANALYST
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS, ELECTRICAL AND COMPUTER SCIENCE ENGINEERING
Author(s): G.P. SAROHA , PRADEEP SINGH RAWAT
Abstract: Cloud computing is an advance technology which provides its resources, application and system software as a service to the end user following the pay as you go model. It can provide fly based quality of service using its infrastructure as a service. It is very difficult to the researcher and industry user to identify the performance of Internet based application using real cloud platform. So we use the tool to identify the performance of application so that we can easily deploy it on real cloud with minimum cost. We know that in cloud based application cost is associated with two parameter virtual machine and data transfer corresponding to the user base. Simulation tool is based on cloudsim preexisting tool kit which is the preference of every researcher to test the performance of cloud configuration. Data center is the main resource of the cloud which holds the computing and storage server with number of host machine. To run the applications on cloud we follow hear the task model i.e.
- Publication Date: 09-Jul-2012
- DOI: 10.15224/978-981-07-2950-9-9995
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FAULT MANAGEMENT OF COMPUTER NETWORKS BASED ON PROBE STATION AND PROBE SET SELECTION ALGORITHMS
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS, ELECTRICAL AND COMPUTER SCIENCE ENGINEERING
Author(s): BALAJI PATIL , SHAKTI KINGER , VINAY KUMAR PATHAK
Abstract: Fault diagnosis is a central aspect of network fault management. Since faults are unavoidable in communication systems, their quick detection and isolation is essential for the robustness, reliability, and accessibility of a system. In large and complex communication networks, automating fault diagnosis is critical. Traditionally, fault localization has been performed manually by experts but, as systems grew larger and more complex, automated fault localization techniques became important. Probing technique for fault localization involves placement of probe stations which affects the diagnosis capability of the probes sent by the probe stations and the overhead of instrumentation. In this paper we discussed a novel integrated approach of probe station and probe set selection for fault localization which outperforms the independent fault localization approaches.
- Publication Date: 09-Jul-2012
- DOI: 10.15224/978-981-07-2950-9-91000
- Views: 0
- Downloads: 0