Parallel and Distributed System IEEE 2015 Projects

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Title :Human Mobility Enhances Global Positioning Accuracy for Mobile Phone LocalizationLanguage : C#Project Link : http://kasanpro.com/p/c-sharp/mobile-phone-localization-withs-global-positioning-accuracyAbstract : Global Positioning System (GPS) has enabled a number of geographical applications over many years.Quite a lot of location-based services, however, still suffer from considerable positioning errors of GPS (usually 1m to20m in practice). In this study, we design and implement a high-accuracy global positioning solution based on GPSand human mobility captured by mobile phones. Our key observation is that smartphone-enabled dead reckoningsupports accurate but local coordinates of users' trajectories, while GPS provides global but inconsistent coordinates.Considering them simultaneously, we devise techniques to refine the global positioning results by fitting the globalpositions to the structure of locally measured ones, so the refined positioning results are more likely to elicit theground truth. We develop a prototype system, named GloCal, and conduct comprehensive experiments in bothcrowded urban and spacious suburban areas. The evaluation results show that GloCal can achieve 30%improvement on average error with respect to GPS. GloCal uses merely mobile phones and requires no infrastructureor additional reference information. As an effective and light-weight augmentation to global positioning, GloCal holdspromise in real-world feasibility.

Title :Distributed Smart-home Decision-making in a Hierarchical Interactive Smart Grid ArchitectureLanguage : C#Project Link : http://kasanpro.com/p/c-sharp/distributed-smart-home-decision-making-smart-grid-architectureAbstract : In this paper, we develop a comprehensive real-time interactive framework for the Utility and customers ina smart grid while ensuring grid-stability and Quality-of-Service (QoS). First, we propose a hierarchical architecture forthe Utility-customer interaction consisting of sub-components of customer load prediction, renewable generationintegration, power-load balancing and demand response (DR). Within this hierarchical architecture, we focus on theproblem of real-time scheduling in an abstract grid model consisting of one controller and multiple customer units. Ascalable solution to the real-time scheduling problem is proposed by combining solutions to two sub-problems: (1)centralized sequential decision making at the controller to maximize an accumulated reward for the whole micro-gridand (2) distributed auctioning among all customers based on the optimal load profile obtained by solving the firstproblem to coordinate their interactions. We formulate the centralized sequential decision making at the controller asa hidden mode Markov decision process (HM-MDP). Next, a Vikrey auctioning game is designed to coordinate theactions of the individual smart-homes to actually achieve the optimal solution derived by the controller under realisticgird interaction assumptions. We show that though truthful bidding is a weakly dominant strategy for all smart-homesin the auctioning game, collusive equilibria do exist and can jeopardize the effectiveness and efficiency of the tradingopportunity allocation. Analysis on the structure of the Bayesian Nash equilibrium solution set shows that the Vickreyauctioning game can be made more robust against collusion by customers (anticipating distributed smart-homes) byintroducing a positive reserve price. The corresponding auctioning game is then shown to converge to the uniqueincentive compatible truthful bidding Bayesian Nash equilibrium, without jeopardizing the auctioneer's (microgridcontroller's) profit. The paper also explicitly discusses how this two- step solution approach can be scaled to besuitable for more complicated smart grid architectures beyond the assumed abstract model.

Title :Shared Authority Based Privacy-preserving Authentication Protocol in Cloud ComputingLanguage : NS2Project Link : http://kasanpro.com/p/ns2/privacy-preserving-authentication-protocol-shared-authority-cloudAbstract : Cloud computing is emerging as a prevalent data interactive paradigm to realize users' data remotelystored in an online cloud server. Cloud services provide great conveniences for the users to enjoy the on-demandcloud applications without considering the local infrastructure limitations. During the data accessing, different usersmay be in a collaborative relationship, and thus data sharing becomes significant to achieve productive benefits. Theexisting security solutions mainly focus on the authentication to realize that a user's privative data cannot beunauthorized accessed, but neglect a subtle privacy issue during a user challenging the cloud server to request otherusers for data sharing. The challenged access request itself may reveal the user's privacy no matter whether or not itcan obtain the data access permissions. In this paper, we propose a shared authority based privacy-preservingauthentication protocol (SAPA) to address above privacy issue for cloud storage. In the SAPA, 1) shared accessauthority is achieved by anonymous access request matching mechanism with security and privacy considerations(e.g., authentication, data anonymity, user privacy, and forward security); 2) attribute based access control is adoptedto realize that the user can only access its own data fields; 3) proxy re-encryption is applied by the cloud server toprovide data sharing among the multiple users. Meanwhile, universal composability (UC) model is established toprove that the SAPA theoretically has the design correctness. It indicates that the proposed protocol realizing

privacy-preserving data access authority sharing, is attractive for multi-user collaborative cloud applications.

Parallel and Distributed System IEEE 2015 Projects

Title :Shared Authority Based Privacy-preserving Authentication Protocol in Cloud ComputingLanguage : C#Project Link : http://kasanpro.com/p/c-sharp/shared-authority-based-privacy-preserving-authentication-protocol-cloud-computingAbstract : Cloud computing is emerging as a prevalent data interactive paradigm to realize users' data remotelystored in an online cloud server. Cloud services provide great conveniences for the users to enjoy the on-demandcloud applications without considering the local infrastructure limitations. During the data accessing, different usersmay be in a collaborative relationship, and thus data sharing becomes significant to achieve productive benefits. Theexisting security solutions mainly focus on the authentication to realize that a user's privative data cannot beunauthorized accessed, but neglect a subtle privacy issue during a user challenging the cloud server to request otherusers for data sharing. The challenged access request itself may reveal the user's privacy no matter whether or not itcan obtain the data access permissions. In this paper, we propose a shared authority based privacy-preservingauthentication protocol (SAPA) to address above privacy issue for cloud storage. In the SAPA, 1) shared accessauthority is achieved by anonymous access request matching mechanism with security and privacy considerations(e.g., authentication, data anonymity, user privacy, and forward security); 2) attribute based access control is adoptedto realize that the user can only access its own data fields; 3) proxy re-encryption is applied by the cloud server toprovide data sharing among the multiple users. Meanwhile, universal composability (UC) model is established toprove that the SAPA theoretically has the design correctness. It indicates that the proposed protocol realizingprivacy-preserving data access authority sharing, is attractive for multi-user collaborative cloud applications.

Title :Efficient and Cost-Effective Hybrid Congestion Control for HPC Interconnection NetworksLanguage : NS2Project Link : http://kasanpro.com/p/ns2/efficient-cost-effective-hybrid-congestion-controlAbstract : Interconnection networks are key components in high-performance computing (HPC) systems, theirperformance having a strong influence on the overall system one. However, at high load, congestion and its negativeeffects (e.g., Head-of-line blocking) threaten the performance of the network, and so the one of the entire system.Congestion control (CC) is crucial to ensure an efficient utilization of the interconnection network during congestionsituations. As one major trend is to reduce the effective wiring in interconnection networks to reduce cost and powerconsumption, the network will operate very close to its capacity. Thus, congestion control becomes essential. ExistingCC techniques can be divided into two general approaches. One is to throttle traffic injection at the sources thatcontribute to congestion, and the other is to isolate the congested traffic in specially designated resources. However,both approaches have different, but non-overlapping weaknesses: injection throttling techniques have a slow reactionagainst congestion, while isolating traffic in special resources may lead the system to run out of those resources. Inthis paper we propose EcoCC, a new Efficient and Cost-Effective CC technique, that combines injection throttling andcongested-flow isolation to minimize their respective drawbacks and maximize overall system performance. This newstrategy is suitable for current commercial switch architectures, where it could be implemented without requiringsignificant complexity. Experimental results, using simulations under synthetic and real trace-based traffic patterns,show that this technique improves by up to 55 percent over some of the most successful congestion controltechniques.

Title :Efficient and Cost-Effective Hybrid Congestion Control for HPC Interconnection NetworksLanguage : C#Project Link : http://kasanpro.com/p/c-sharp/efficient-cost-effective-hybrid-congestion-control-hpc-interconnection-networksAbstract : Interconnection networks are key components in high-performance computing (HPC) systems, theirperformance having a strong influence on the overall system one. However, at high load, congestion and its negativeeffects (e.g., Head-of-line blocking) threaten the performance of the network, and so the one of the entire system.Congestion control (CC) is crucial to ensure an efficient utilization of the interconnection network during congestionsituations. As one major trend is to reduce the effective wiring in interconnection networks to reduce cost and powerconsumption, the network will operate very close to its capacity. Thus, congestion control becomes essential. ExistingCC techniques can be divided into two general approaches. One is to throttle traffic injection at the sources thatcontribute to congestion, and the other is to isolate the congested traffic in specially designated resources. However,both approaches have different, but non-overlapping weaknesses: injection throttling techniques have a slow reactionagainst congestion, while isolating traffic in special resources may lead the system to run out of those resources. Inthis paper we propose EcoCC, a new Efficient and Cost-Effective CC technique, that combines injection throttling andcongested-flow isolation to minimize their respective drawbacks and maximize overall system performance. This newstrategy is suitable for current commercial switch architectures, where it could be implemented without requiringsignificant complexity. Experimental results, using simulations under synthetic and real trace-based traffic patterns,show that this technique improves by up to 55 percent over some of the most successful congestion controltechniques.

Parallel and Distributed System IEEE 2015 Projects