are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different sites. Such network forecasts are needed both to support scheduling [5], and by the metacomputing software infrastructure to develop quality-of-service

Abstract—Monitoring of infrastructural resources in clouds plays a crucial role in providing application guarantees like performance, availability, and security. Monitoring is crucial from two perspectives- the cloud-user and the service provider. The cloud user’s interest is in doing an analysis

such as software as service, platform as a service and infrastructure as a service are being utilized by the end users. Monitoring the performances of quality of service (QoS) is daunting as such service providers and data centers have challenges in dealing with the QoS related issues. There is a necessity

level agree-ment (SLA). In addition, to support the fulfillment of the SLA a monitoring process should be defined. This allows service providers to determine the actual quality level of services in the cloud. In this paper, we define a monitoring pro-cess for the usage of models at runtime, specifying

Cloud Computing represents a new computing model that poses many demanding security issues at all levels, e.g., network, host, application, and data levels. The variety of the delivery models presents different security challenges depending on the model and consumers ’ Quality of Service (Qo

Although, building a monitoring system for IT infrastructure is an important issue, it is not an easy process. Monitoring software might be complicated, inflexible and expensive. Among many IT service cloud computing has its remarkable benefits for network monitoring service. Cloud Computing is a

Abstract. The complexity of monitoring cloud environments and the lack of standards so far urge for a careful analysis, systematizing and understanding of key points involved when assessing the services provided. In this context, this paper proposes a layered model for Cloud Services monitoring

Cloud computing places an organization’s sensitive data in the control of a third party, introducing a significant level of risk on the privacy and security of the data. We propose a new management and security model for cloud computing called the Private Virtual Infrastructure (PVI) that shares

networks have not been designed to satisfy these diverse requirements easily. These requirements drive the need for a robust, scalable, and easy-to-use network management platform that enables service providers to monitor and manage their networks to provide the necessary quality, availability

serves as a Monitoring Platform-as-a-Service to each cloud consumer and provider. It enables cloud consumer to customize the monitoring metrics and define resources or services to be monitored. The cloud provider sees overall infrastructure of the services provided to each cloud consumer