دانلود رایگان مقاله تحلیل عملکرد برای تامین خدمات محاسبه شبکه کامپوزیت در محیط ابری نرم افزار تعریف شده

Abstract

The crucial role of networking in Cloud computing calls for a holistic vision of both networking and computing systems that leads to composite network–compute service provisioning. Software-Defined Network (SDN) is a fundamental advancement in networking that enables network programmability. SDN and software-defined compute/storage systems form a Software-Defined Cloud Environment (SDCE) that may greatly facilitate composite network–compute service provisioning to Cloud users. Therefore, networking and computing systems need to be modeled and analyzed as composite service provisioning systems in order to obtain thorough understanding about service performance in SDCEs. In this paper, a novel approach for modeling composite network–compute service capabilities and a technique for evaluating composite network–compute service performance are developed. The analytic method proposed in this paper is general and agnostic to service implementation technologies; thus is applicable to a wide variety of network–compute services in SDCEs. The results obtained in this paper provide useful guidelines for federated control and management of networking and computing resources to achieve Cloud service performance guarantees.

8. Conclusions

The crucial role of networking in Cloud computing requires a holistic vision of both networking and computing resources in a software-defined Cloud environment, which leads to composition of network and compute service provisioning. The research presented in this paper studies the problem of modeling and performance analysis for composite network– compute service provisioning systems. The main contributions made in this paper include a new approach to modeling service capabilities of composite network–compute service systems and analysis techniques for evaluating delay performance of composite network–compute services. Application of the recent development in network calculus with data scaling makes the modeling and analysis techniques developed in this paper general and agnostic to network and Cloud implementations; thus are applicable to various heterogeneous networking and computing systems coexisting in a Cloud environment for composite network–compute service provisioning. Both analytical and numerical results obtained in this paper indicate that capacities of network and compute services as well as the data transform factors between these two types of services have direct impact on delay performance of composite services. The developed model and analysis techniques provide Cloud service customers, service brokers, and service providers with an effective tool for evaluating achievable service performance in software-defined Cloud environments.