SIGCOMM '92 Conference proceedings on Communications architectures & protocols
ACM SIGCOMM Computer Communication Review
Co-operation and comparison of DiffServ and IntServ: performance measurements
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
Future Generation Computer Systems
Network-aware scheduling for real-time execution support in data-intensive optical Grids
Future Generation Computer Systems
From virtualized resources to virtual computing grids: the In-VIGO system
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
GMPLS-based service differentiation for scalable QoS support in all-optical Grid applications
Future Generation Computer Systems - Collaborative and learning applications of grid technology
A survey of network virtualization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards a federated Metropolitan Area Grid environment: The SCoPE network-aware infrastructure
Future Generation Computer Systems
IEEE Communications Surveys & Tutorials
Editorial: Infrastructure and Network-aware Grids and Service Oriented Architectures
Future Generation Computer Systems
Future Generation Computer Systems
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Today's service platform or Cloud service models, such as Infrastructure-as-a-Service (IaaS), enable customers to deploy and execute applications on an on-demand available infrastructure. Such platforms reduce operational expenses for the service provider and lower the entry barrier for small and medium enterprises. However, current commercial solutions do not provide sufficient quality of service (QoS) guarantees for some applications. For example, they do not support various interactive real-time applications. In this paper, we introduce a way overcome these current Cloud service limitations. We show how to provide and guarantee quality of service requirements for resource networks within an IaaS framework. Our work has focused on methods for network resource management and flow control as well as QoS models. We have developed a framework that enables QoS support for real-time services executing within an IaaS environment.