Algorithmic mechanism design (extended abstract)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
A flexible model for resource management in virtual private networks
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Blueprint for an Autonomic Service Architecture
ICAS '06 Proceedings of the International Conference on Autonomic and Autonomous Systems
A generic architecture for autonomic service and network management
Computer Communications
IEEE Journal on Selected Areas in Communications
A collusion-resistant mechanism for autonomic resource management in Virtual Private Networks
Computer Communications
DDP: A Dynamic Dimensioning and Partitioning model of Virtual Private Networks resources
Computer Communications
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In this paper, we are addressing the problem of autonomic resource management for Virtual Private Networks (VPNs). Resources management is one of the important problems facing most Internet Service Providers (ISPs). As a solution, the Autonomic Service Architecture (ASA) is proposed in the literature to automate the resources management. Although, this model is able to improve ISPs' performance by automatically adjusting the resources allocation of each customer, it still suffers from two main limitations. First, this model increases the ISPs' revenue in a non-optimal way. Second, this model has no mechanism to prevent customers' exaggeration that can lead to an inefficient resource utilization, and violate the contracted Service Level Agreements' (SLAs) terms. Customers might exaggerate by asking for more resources during and after the SLA negotiation session, especially in the case of multimedia streaming, where this can waste the available network resources. This is due to the fact that customers would like to guarantee their Quality of Services (QoS). To overcome the above limitations, we propose an Autonomic Resources Management Mechanism (ARMM) that increases the ISPs' revenue by allocating resources based on the auction mechanism, where resources are granted to the best bidders. Additionally, we propose a threat model based on Vickrey-Clarke-Groves (VCG) mechanism that is able to penalize exaggerated bidders according to the created inconvenience. Since in our framework, customers are assumed to be rational, they will avoid asking for more unneeded resources. Simulation results show that the ARMM model is able to efficiently utilize network resources, increase ISPs' profit, and customers' satisfaction rates.