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Cloud Datacenter Network (CDN) providers usually have the option to scale their network structures to allow for far more resource capacities, though such scaling options may come with exponential costs that contradict their utility objectives. Yet, besides the cost of the physical assets and network resources, such scaling may also impose more loads on the electricity power grids to feed the added nodes with the required energy to run and cool, which comes with extra costs too. Thus, those CDN providers who utilize their resources better can certainly afford their services at lower price-units when compared to others who simply choose the scaling solutions. Resource utilization is a quite challenging process; indeed, clients of CDNs usually tend to exaggerate their true resource requirements when they lease their resources. Service providers are committed to their clients with Service Level Agreements (SLAs). Therefore, any amendment to the resource allocations needs to be approved by the clients first. In this work, we propose deploying a Stackelberg leadership framework to formulate a negotiation game between the cloud service providers and their client tenants. Through this, the providers seek to retrieve those leased unused resources from their clients. Cooperation is not expected from the clients, and they may ask high price units to return their extra resources to the provider's premises. Hence, to motivate cooperation in such a non-cooperative game, as an extension to the Vickery auctions, we developed an incentive-compatible pricing model for the returned resources. Moreover, we also proposed building a behavior belief function that shapes the way of negotiation and compensation for each client. Compared to other benchmark models, the assessment results show that our proposed models provide for timely negotiation schemes, allowing for better resource utilization rates, higher utilities, and grid-friend CDNs. [ABSTRACT FROM AUTHOR]

The expansion of telecommunication technologies touches almost all aspects life that we are living nowadays. Indeed, such technologies have emerged as a fourth essential utility alongside the traditional utilities of electricity, water, and gas. In this context, Cloud Data Center Networks (cloud-DCNs) have been proposed as a promising way to cope with such a high-tech era and with any expected trends in future computing networks. Resources of cloud-DCNs are leased to the interested users in the form of services, such services come in different models that vary between software, platform, and infrastructure. The leasing process of any service model starts with the users (i.e., service tenants). A tenant asks for the service resources, and the cloud-provider allocates the resources with a charge that follows a predefined cost policy. Cloud resources are limited, and those cloud providers have profit objectives to be satisfied. Thus, to comply with the aforementioned promise, the limited resources need to be carefully allocated. Existing allocation proposals in the literature dealt with this problem in varying ways. However, none proposes a win-win allocation model that satisfies both the providers and tenants. This work proposes A Rational Allocation Approach in Cloud Data Center Networks (ARAAC) that efficiently allocates the available cloud resources, in a way that allows for a win-win environment to satisfy both parties: the providers and tenants. To do so, ARAAC deploys the Second Best-Price (SBP) mechanism along with a behavioral-based reputation model. The reputation is built according to the tenants' utilization history throughout their previous service allocations. The reputation records along with the adoption of the SBP mechanism allows for a locally free-equilibrium approach that allocates the available cloud-DCN resources in an efficient and fair manner. In ARAAC, through an auction scenario, tenants with positive reputation records are awarded by having the required resources allocated at prices that are lower than what they have offered. Compared to other benchmark models, simulation results show that ARAAC can efficiently adapt the behavior of those rational service-tenants to provide for better use of the cloud resources, with an increase in the providers' profits. [ABSTRACT FROM AUTHOR]