Artur Lason

Grade-of-service-based routing in optical networks [Quality-of-Service-Based Routing Algorithms for Heterogeneous Networks]

Optical networks serve an increasing number of services, each having different requirements. This necessitates the evolution towards routing algorithms that cover all aspects of quality. This article presents a tutorial overview and comparison of grade-of-service-based routing strategies, with emphasis on mechanisms that provide differentiated call-blocking probability for different classes of lightpath requests

Route Management Strategies for Grade of Service Differentiation in Optical Networks

In the paper we propose three route management strategies that allow an optical network operator to achieve differentiated service for two classes of lightpath requests. Simulation results show that all three strategies achieve the stated goal, which is to maintain blocking probability of high priority requests below an assumed value in a broad range of network loads. Moreover, the presented strategies require only little support from the control plane. Detailed algorithms are presented in two versions, one suitable for networks with centralized control, and the other for networks with distributed control.

Energy-aware fog and cloud interplay supported by wide area software defined networking

The paper focuses on dynamic resource provisioning in an all optical wide area Software Defined Network supporting energy-aware interplay between fog and cloud. The main contribution of this paper is a latencyAware policy for handling fog related traffic. The policy is combined with anycast strategies in order to form a complete approach able to handle fog and cloud traffic simultaneously. The proposed approach was compared with reference solutions with respect to latency of fog related requests, CO2 emission and impact on network performance. It is shown that both latency and carbon footprint may be reduced without significant deterioration of network performance.

Anycast routing for carbon footprint reduction in WDM hybrid power networks with data centers

The paper focuses on dynamic resource provisioning which minimizes carbon footprint in optical networks. The main contribution of this paper consists of three anycast routing strategies aimed at reducing greenhouse gases emission by processing energy-intensive requests in data centers powered from renewable energy sources. The proposed strategies were compared with reference approaches with respect to CO2 emission and their impact on network performance. It is shown that they are able to significantly reduce greenhouse gases emission and, simultaneously, improve network performance.

Performance Evaluation of the Grade-of-Service-Based Routing Strategies for Optical Networks

The paper is focused on an optical network in which the network operator needs to achieve differentiated connection blocking probability between different classes of lightpath requests. We propose and investigate several routing strategies, which may be used for that purpose, i.e., to maintain the blocking probability of the high priority requests below an assumed value in a broad range of network loads. Simulation results show that all proposed strategies achieve the stated goal, but their performance varies considerably. The paper presents differences in performance of individual strategies.

Green Cloud Provisioning Throughout Cooperation of a WDM Wide Area Network and a Hybrid Power IT Infrastructure

The paper focuses on cooperation between cloud and network operators, as well as on fitting particular routing strategies to various cloud services. Three cooperation models are presented, analyzed and compared in the paper: the proposed model and two widely used reference models. The main difference between the models is the set of information being exchanged between the involved parties. Additionally, we analyze the applicability of four fitting schemas for each considered model. It is shown that the proposed model, alongside with an appropriate fitting schema, is able to reduce the blocking probability of cloud services requests. At the same time, thanks to the use of green anycast strategies, it is able to significantly reduce carbon dioxide emission.

First step towards preserving the privacy of cloud-based IDS security policies

Traditional intrusion detection systems, managed by organizations themselves, have already evolved towards cloud architectures. While benefitting from all the advantages of the cloud computing paradigm, they are also suffering from one of its main drawbacks-privacy issues. As intrusion detection system security policies expose critical information regarding the organization such as vulnerabilities, sharing this information with cloud service providers raises serious privacy concerns. The following paper proposes and presents three novel solutions as a first step towards preserving the privacy of cloud-based intrusion detection system security policies. All the solutions utilize hybrid cloud architecture, as this is a leading trend in the cloud-based intrusion detection systems market, and share the concept of performing the most computationally expensive operations, which are pattern-matching operations, in the public cloud. By taking the final decision regarding network packets in the private cloud on customer premises, the desired level of privacy is provided. Experimental results, received as an output from the performed simulations, confirm that all the presented solutions are efficient enough for the deployment of cloud-based intrusion detection systems. Copyright

Fitting green anycast strategies to cloud services in WDM hybrid power networks

The paper focuses on dynamic resource provisioning which minimizes carbon footprint of data centers interconnected via optical networks. The main contribution of this paper is a schema of fitting energy aware anycast strategies to different types of cloud services in order to reduce greenhouse gases emission. The proposed schema was compared to the cases when all types of cloud services were handled using the same anycast strategy. It is shown that the proposed schema is able to significantly reduce greenhouse gases emission without significant deterioration of network performance.

Dynamic power capping for multilayer hybrid power networks

The paper deals with the problem of optimizing the use of energy in a telecommunication network. We propose the power capping technology to effectively move power hungry tasks from nodes powered from non-renewable energy sources to nodes powered from renewable resources. The presented technology may also be used to optimize OPEX in case the cost of energy varies in different nodes. The presented results show, that the solution is extremely effective in meeting the aforementioned goals.

Taking back control of privacy: a novel framework for preserving cloud-based firewall policy confidentiality

As the cloud computing paradigm evolves, new types of cloud-based services have become available, including security services. Some of the most important and most commonly adopted security services are firewall services. These cannot be easily deployed in a cloud, however, because of a lack of mechanisms preserving firewall policy confidentiality. Even if they were provided, the customer traffic flowing through the Cloud Service Provider infrastructure would still be exposed to eavesdropping and information gaining by performing analysis. To bypass these issues, the following article introduces a novel framework, known as the Ladon Hybrid Cloud, for preserving cloud-based firewall policy confidentiality. It is shown that in this framework, a high level of privacy is provided thanks to leveraging an anonymized firewall approach and a hybrid cloud model. A number of optimization techniques, which help to further improve the Ladon Hybrid Cloud privacy level, are also introduced. Finally, analysis performed on the framework shows that it is possible to find a trade-off between the Ladon Hybrid Cloud privacy level, its congestion probability, and efficiency. This argument has been demonstrated through the results of conducted experiments.