[show abstract][hide abstract] ABSTRACT: Enzyme-based logical gates have been proposed as an alternative to conventional semiconductor gates in order to support computing at the nano-scale for nano-devices. In particular, certain enzyme-based implementations of AND, OR and NOT gates were proposed for further composing enzyme-based circuits for various Boolean functions. However, inputs and outputs of these gates are presented by different chemical species, and this results in potential incompatibility between gates. Therefore, opposite to conventional semiconductor gates not just any pair of enzyme-based logical gates may be used consequently in a circuit. This significantly complicates circuit creation and raises the question of the existence of an enzyme-based circuit for a generic Boolean function. This paper addresses the issue while providing its formal mathematical description together with an algorithm for enzyme-based circuit design.
Nano Communication Networks 09/2012; 3(3):168–174.
[show abstract][hide abstract] ABSTRACT: Wireless body area networks (WBAN) provide a tremendous opportunity for remote health monitoring. However, engineering WBAN health monitoring systems encounters a number of challenges including efficient WBAN monitoring information extraction, dynamically fine tuning the monitoring process to suit the quality of data, and to allow the translation of high-level requirements of medical officers to low-level sensor reconfiguration. This paper addresses these challenges, by proposing an architecture that allows virtual groups to be formed between devices of patients, nurses, and doctors in order to enable remote analysis of WBAN data. Group formation and modification is performed with respect to patients' conditions and medical officers' requirements, which could be easily adjusted through high-level policies. We also propose, a new metric called the Quality of Health Monitoring, which allows medical officers to provide feedback on the quality of WBAN data received. The WBAN data gathered are transmitted to the virtual group members through an underlying environmental sensor network. The proposed approach is evaluated through a series of simulation.
[show abstract][hide abstract] ABSTRACT: Wireless Body Area Network (WBAN) in recent years have received significant attention, due to their potential for increasing efficiency in healthcare monitoring. Typical sensors used for WBAN are low powered single transceiver devices utilizing a single channel for transmission at the Medium Access Control (MAC) layer. However, performance of these devices usually degrades when the density of sensors increases. One approach to counter this performance degradation is to exploit multiple channels at the MAC layer, where optimal usage of the channels is achieved through cooperation between the sensor nodes. In this paper we propose a cooperative WBAN environment that supports multi-hop transmission through cooperation involving both environmental sensors and WBAN nodes. Our solution extends the cooperation at the MAC layer to a cross-layered gradient based routing solution that allows interaction between WBAN and environmental sensors in order to ensure data delivery from WBANs to a distant gateway. Extensive simulations for healthcare scenarios have been performed to validate the cooperation at the MAC layer, as well as the cross-layered gradient based routing. Comparisons to other cooperative multi-channel MAC and routing solutions have shown the overall performance improvement of the proposed approach evaluated in terms of packet loss, power consumption and delay.
[show abstract][hide abstract] ABSTRACT: In this article we present QoSPlan—a measurement based framework for preparing information relevant to Quality of Service (QoS)-aware IP network planning, which aims at reducing a core operational expenditure for the network operator. QoSPlan is designed to reduce the cost of deployment and maintenance of network monitoring systems. The process involves analysis of pre-existing accounting data to estimate a network-wide traffic matrix. Part of this estimation process relates to the generalization of QoS-related effective bandwidth coefficients taken from traffic analyzed on the network. We offer recommendations on how to appropriately realize QoSPlan to maximize its accuracy and effectiveness when applied to different network traffic scenarios. This is achieved through a thorough sensitivity analysis of the methods proposed using real traffic scenarios and indicative network topologies. We also provide an economic analysis of the deployment and maintenance costs associated with QoSPlan in comparison to a direct measurement approach, demonstrating cost savings of up to 60 % given different topology sizes.
Journal of Network and Systems Management 01/2012; · 0.43 Impact Factor
[show abstract][hide abstract] ABSTRACT: As Internet data centers (IDCs) have been increasing in scale and complexity, they are currently a significant source of energy consumption and CO2 emission. This paper proposes and evaluates a new framework to operate a federation of IDCs in a "green" way. The proposed framework, called Green Monster, dynamically moves services (i.e., workload) across IDCs for increasing renewable energy consumption while maintaining their performance. It makes decisions of service migration and placement with an evolutionary multiobjective optimization algorithm (EMOA) that evolves a set of solution candidates through global and local search processes. The proposed EMOA seeks the Pareto-optimal solutions by balancing the trade-offs among conflicting optimization objectives such as renewable energy consumption, cooling energy consumption and response time performance.
[show abstract][hide abstract] ABSTRACT: Currently, a large number of activities on Internet redesign are being discussed in the research community. While today's Internet was initially planned as a datagram-oriented communication network among research facilities, it has grown and evolved to accommodate unexpected diversity in services and applications. For the future Internet this trend is anticipated to continue even more. Such developments demand that the architecture of the new-generation Internet be designed in a dynamic, modular, and adaptive way. Features like these can often be observed in biological processes that serve as inspiration for designing new cooperative architectural concepts. Our contribution in this article is twofold. First, unlike previous discussions on biologically inspired network control mechanisms, we do not limit ourselves to a single method, but consider ecosystems and coexisting environments of entities that can cooperate based on biological principles. Second, we illustrate our grand view by not only taking inspiration from biology in the design process, but also sketching a possible way to implement biologically driven control in a future Internet architecture.
[show abstract][hide abstract] ABSTRACT: Data mashup is a web technology that combines information from multiple sources into a single web application. Mashup applications create a new horizon for different services like real estate services, financial services and recommender services. Recommender systems are a serious business tool for the providers of IPTV services, who seek to gain competitive advantage over competing providers and attract more customers. An IPTV provider utilizes data mashup to merge datasets from different movie recommendation sites like Netflix or IMDb in order to leverage its recommender performance and predication accuracy. However, mashup different datasets from multiple sources is a privacy hazard as it might revels customer specific preferences for different items. The ability to preserve privacy in mashuped datasets and in the same time provide accurate recommendations becomes a key success for the spread of mashup services. In this paper, we present our efforts to build an agent based middleware for private data mashup (AMPM) to serve centralized IPTV recommender service (CIRS). AMPM is equipped with obfuscation mechanisms to preserve privacy of the merged datasets form multiple sources involved in the mashup application. Also these mechanisms preserve the aggregates in the dataset to maximize the usability of information in order to attain accurate recommendations. We also provide a data mashup scenario in IPTV recommender service and experimentation results.
Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2011 IEEE 16th International Workshop on; 07/2011
[show abstract][hide abstract] ABSTRACT: The emergence of new platforms providing Internet protocol television (IPTV) services, such as Google TV and Apple TV is expected to revolutionize the way multimedia services are provided on the Internet. However, the existing network infrastructure falls well short of meeting the resource requirements to provide satisfactory levels of such services. This has led the service providers like Google to contemplate deploying large farms of network cables to transport the traffic generated by their IPTV services. However, the huge cost involved in achieving their target, means careful resource planning and meeting users' expectations are essential. In this paper, we propose an effective adaptive HYbrid delivery System Adaptive Content management (HySAC), which dynamically selects the mode of video delivery from unicast, multicast and peer-to-peer (P2P) based on the popularity of the respective videos. The videos are dynamically classified into high, medium and low popularity groups and, they are delivered using multicast, P2P and unicast methods respectively. HySAC reduces the start-up delay as the mode of delivery is well defined and the resource availability to support the delivery is guaranteed. We have evaluated the performance of HySAC on a realistic simulated environment and presented experimental results; they indicate that HySAC performs significantly better than pure unicast, multicast and P2P mechanisms. This paper also provides a mechanism to classify the videos into different popularity classes.
Communications (ICC), 2011 IEEE International Conference on; 07/2011
[show abstract][hide abstract] ABSTRACT: Future communication networks will be faced with increasing and variable traffic demand, due largely to various services introduced on the Internet. One particular service that will greatly impact resource management of future communication networks is IPTV, which aims to provide users with a multitude of multimedia services (e.g. HD and SD) for both live and on demand streaming. The impact of this will be higher, when we consider multiple IPTV services overlaid on the same network. In this paper we propose a resource management scheme for a network provider that supports multiple IPTV providers. The proposed solution incorporates a new distributed routing mechanism in the underlying network that incorporates QoE monitoring. Through this monitoring process, network providers are able to provide timely updates of quality of flows for each IPTV provider. Simulation work has been conducted to validate the efficiency of the proposed solution in comparison to standard approaches.
IEEE Transactions on Broadcasting 07/2011; · 2.09 Impact Factor
[show abstract][hide abstract] ABSTRACT: Providing protection to the financial infrastructure in the face of faults and malevolent attacks is vital to the stability,
availability, and continuity of key financial markets and businesses worldwide. Traditional protection approaches have focused
on protecting individual financial institutions (FIs) while ignoring the threats arising from cross-domain interactions as
well as those originating from other critical infrastructures. With the growing complexity of inter-organisational boundaries
and their increasing interdependence, such isolated approaches are no longer adequate. However, sharing information between
FIs relating to critical events and the reliance on others’ quality of service attributes such as security requires varying
levels of trust between them depending on the requirements of each individual FI and the sensitivity of exchanged information.
This paper describes a trust management system developed to allow the evaluation, monitoring, and management of trustworthiness
levels of FIs exchanging critical events and information. Trustworthiness levels are used to assure FIs of the reliability
of each other and to filter events and data being processed. The system introduces a novel reusable architecture that allows
flexibility and extensibility of trust metrics and trust algorithms.
Keywordsfinancial critical infrastructure–trust management–protection–semantic room
[show abstract][hide abstract] ABSTRACT: IPTV providers employ third party content recommendation service to help end users find personalized content, and at the same time increase content sales and gain competitive advantage over other IPTV providers. However current implementations of recommendation services are mostly centralized where all the information about the users' profiles is stored on a dedicated server. A common fear among users is that their user profile data being misused by recommendation provider. Also sharing profile data makes the end users vulnerable to attacks like insider attacks, where an employee of the recommendation service may compromise the confidentiality and integrity of their profiles. For these reasons, privacy aware users intentionally decline to use recommendation or even provide inaccurate or wrong information because they consider it as untrusted service. On the other hand, to build an accurate recommendation model the user must reveal information that is typically considered private such as watching history, previous buying behaviour, content ratings, etc. Further privacy concerns arise when the user data are stored in countries that have privacy laws different from the country where the service is consumed. This poses a severe privacy hazard, since the users profiles are fully under the control of recommendation provider and stored in locations that are not legally bound to ensure the privacy of its users. Due to different legal structures that relate to data privacy laws in different legal jurisdictions maintaining user profile privacy is not a trivial solution. Regardless of the official legal framework requirements, when outsourcing users' profiles the private data should be kept safe when it is in the possession of any third party service. In this paper we introduce a private recommendation method using collaborative filtering techniques. The method preserves the privacy of its users when using the system and allows sharing data among different users in the netwo-
rk. We also introduce two obfuscations algorithms that protect users profile privacy as well as preserve the aggregates in the dataset to maximize the utility of information to provide accurate recommendations. Using these algorithms provides the privacy of users personal profiles.
Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on; 06/2011
[show abstract][hide abstract] ABSTRACT: The complexity and dynamicity of networks continue to increase. Furthermore, specialization of network operations, the de-regulation of vertically integrated network operators, new demands from end users, as well as new business models for Over-The-Top players, give rise to new challenges and emphasizes that networking becomes ever more dynamic and organic in nature. To address these trends the research community has been investigating how to integrate management capabilities into the networks in order to meet the foremost requirements on reduced OPEX, but also to enable faster responses to agile business operations for the support of new value chains, applications, and services. These management capabilities are however envisaged as an add-on to the existing functionality. This would impose scalability, performance, and extensibility issues when such capabilities are deployed incrementally and ad-hoc. In this paper, we give an overview of selected recent advances in network architectures supporting self-management capabilities, and identify both their strengths and their limitations. This analysis provides input for a definition of the requirements and core properties for networks to become inherently self-managed. We then outline a generic model termed the “Netcell” that seeks to support the identified requirements and core properties.
Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on; 06/2011
[show abstract][hide abstract] ABSTRACT: Communication between biological based nano scale devices is a crucial component of future applications in nanotechnology. This paper explores the creation of a backbone communication network for nano scale sensors using neurons. We investigate how neuron cell characteristics affect the performance of neuronal based network and highlight several key characteristics compared to conventional wire based networks. Finally, we investigate four network topologies through simulation.
[show abstract][hide abstract] ABSTRACT: The recent years have seen an explosive upsurge in the popularity of IPTV networks and the IPTV user base. The increased user base poses new challenges to IPTV provider in providing the IPTV services with the expected QoE to the users due to the increase in traffic and heterogeneity in networks. The VoD, being the most prominent and most lucrative of the triple play components, require efficient managing in order for the IPTV provider to meet the expectations of the users, i.e. efficient management of contents. In this paper, we propose PaCRA<sub>m</sub> by adding a new multicast approach SMoD which combines unicast and multicast, to our earlier proposed content replication strategy PaCRA. SMoD provides satisfactory levels of QoE by eliminating the batching delay which is present in the traditional multicast approaches by exploiting the segmentation of videos. We show that the application of SMoD significantly improves the performance of PaCRA in terms of resource utilization, rejection rate and number of content replications. We further recommend a pre-population strategy for video segments to improve the performance of SMoD by taking into account the segment numbers for future work.
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE; 01/2011
[show abstract][hide abstract] ABSTRACT: In recent years, a major factor that has attracted numerous users to the Internet is services, and it is anticipated that this trend will continue into the future. As the Internet of the future becomes increasingly service centric, this brings with it a number of well established challenges. With large volumes of services, service discovery becomes one of the most decisive issues, and even fundamental tasks such the management and maintenance of services become challenging. Also, as services evolve and change to meet users demands, an efficient delivery mechanism (routing and resource management) is required in the underlying network. In order to address these challenges, this paper proposes an integrated bio-inspired service management and distributed routing solution for future service environments. The proposed solution will demonstrate how biological processes can improve both the individual layers of service management and underlying infrastructure, as well as improve overall performance when these two layers are integrated. Simulation results are presented to help validate the proposed solution.
[show abstract][hide abstract] ABSTRACT: content management systems. This paper describes how an (offline) experimental testbed may be used to address performance concerns. To begin, timing mea surements are collected from a server component incorporating the Policy Decision Point (PDP) under test, using representative policies and corresponding requests. Our experiments with two XACML PDP implementations show that measured request service times are typically clustered by request type; thus an algorithm for request cluster identification is presented. Cluster characterisation s are used as inputs to a PDP performance model for a given policy/request mix and an analytic (queueing) model is used to estimate the equilibrium server load for different mixes of request clusters. The analytic performance prediction model is validated and extended by discrete event simulation of a PDP subject to additional load. These predictive models enable network administrators to explore the capacity of the PDP for different overall loadings (requests per unit time) and profiles (relative frequencies) of requests.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011, Dublin, Ireland, 23-27 May 2011; 01/2011