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E-commerce marketplaces are highly dynamic with constant competition. While this competition is challenging for many merchants, it also provides plenty of opportunities, e.g., by allowing them to automatically adjust prices in order to react to changing market situations. For practitioners however, testing automated pricing strategies is time-consuming and potentially hazardously when done in production...
In consistent flow migration, the task is to change the paths the flows take in the network, but without inducing congestion during the update process. Even though the rise of Software Defined Networks allows for centralized control of path changes, the execution is still performed in an inherently asynchronous system, the switches distributed over the network. To this end, a multitude of scheduling...
This paper proposes a mixed-integer quadratic programming (MIQP) model for optimal day-ahead distribution networks dispatch considering Wind Generators (WGs) and topology reconfiguration. Firstly, linearized current injection model is introduced for generators by a series of approximations. Then the day-ahead Switching Operations (SOs) of reconfiguration could be calculated in a linear form based...
This paper deals with the process of identifying the parameters of the dynamic equivalent (DE) load model of an active distribution system (ADN) simulated in RTDS using mean-variance mapping optimization (MVMO) algorithm. MVMO is an emerging variant of population-based, evolutionary optimization algorithm whose features include evolution of its solutions through a unique search mechanism within a...
Managing a one-way vehicle sharing system means periodically moving free access vehicles from excess to deficit stations in order to avoid local shortages. We perform a lower bound analysis for the static version of the resulting operational decision problem, and derive from this analysis two heuristic algorithms whose main feature is to be vehicle oriented, which means that they focus on the way...
In this paper a systematic model based approach to state estimation for Permanent Magnet Synchronous Motor (PMSM) to built up sensorless drives is presented. A moving horizon estimation (MHE) algorithm is used, an optimization based scheme that yields excellent performance. Under mild assumptions, an optimal problem of type Equality Constrained Quadratic Programming (EQP) is resolved at each iteration...
Based on intelligent residential construction, proposed distributed power and distribution network coordinated optimization control methods, research distributed power and distribution network coordinated comprehensive energy management software, realized PV, wind power, triple supply distributed power and storage energy equipment, active/passive load control, obviously reduce electric loss, improve...
Host load detection algorithm determines if a given host is overload or underloaded then the decision can be made to migrate VMs to achieve host/server consolidation and load balancing in cloud data centers while satisfying the QoS constraints. Presently, host load detection is a challenging problem in the cloud data center management specially with high dynamic environment for the host load. In this...
Distributed real-time computing system JStrom significantly improves performance on real-time data computing. However, JStorm may lead to a single point of failure, and upgrading JStorm system may cause instability of system. To efficiently solve these problems, we propose a task detection model based on the heartbeat detection and a two-level cluster load balancing model separately. We discover the...
Reproducibility of the execution of scientific applications on parallel and distributed systems is a growing interest, underlying the trustworthiness of the experiments and the conclusions derived from experiments. Dynamic loop scheduling (DLS) techniques are an effective approach towards performance improvement of scientific applications via load balancing. These techniques address algorithmic and...
Typical traffic scheduling is to use special load balancers distributing client requests to different application servers, but this technique requires not only the dedicated hardware support, but also has many other shortcomings, such as high price, lack of flexibility and easier to become a single point of failure. This paper presents a cheap, flexible solution. Based on SDN, this method adopts the...
The load-balanced clustering is a most significant problem for WSNs with unequal load of the sensor nodes but it is known to be an NP-hard problem. This paper introduces a new model for the problem in which the objective function is to maximize the overall minimum lifetime of the cluster heads. To solve this model, we propose a novel estimation of distribution algorithm based dynamic clustering approach...
This paper deals with the traffic signal control problem. More specifically it investigates the impact at a network level of simple dynamic local traffic control policies. A dynamic route swapping rule is adopted to model the behavioral response of the travellers to signal changes, while a dynamic signal control swapping rule based on an equi-pressure policy is used to implicitly consider the flow...
This paper presents a distributed strategy for load balancing in a smart grid, modeling demand and supply as a networked dynamical system. The algorithm, which is characterized by point-to-point communications among agents implemented at the level of local energy management systems, is proven to converge to a Wardrop equilibrium. Numerical simulations of realistic scenarios are reported to show the...
Computing resource allocation in Baseband Unit (BBU) Pool is a challenging research topic for a Centralized Radio Access Network (C-RAN) when the resource allocation algorithm has to heed thermal characteristics of the computing resources (Processors) of BBU along with the optimization of power consumption and computing resource usage. Since the network load acts as a heat source for the processor...
Variations of a center of gravity (COG) and mass make difficulties for control of quadrotors. For example, there are situations such as flight with swing load or with sloshing fuel. These problems leave room for uncertainties in the attitude and position control systems. To mitigate the above-mentioned effects, effective control algorithm must be developed based on modified dynamics of the quadrotors...
Power load models are significant for power system transient analysis and voltage stability. However, as the load behavior is time varying in nature, the model parameters are also time varying and online parameter estimation algorithms are thus required. In this work we cast static and dynamic load models in linear parametric form and use them as a baseline to develop online parameter identification...
High penetration of distributed and renewable power generation systems challenges the conventional paradigm of stabilizing power systems with the standard rotational inertia used in power generation. To improve the stability of a power system, advanced disturbance rejection control techniques can be used to provide damping and power disturbance mitigation. An approach for three-phase (real) power...
Reproducibility of the execution of scientific applications on parallel and distributed systems is a growing concern, underlying the trustworthiness of the experiments and the conclusions derived from experiments. Dynamic loop scheduling (DLS) techniques are an effective approach towards performance improvement of scientific applications via load balancing. These techniques address algorithmic and...
In the intensive computation domain, the applications with high volume of data need strong processing power and considerable storage resources. To reach the required computation power, multiple machines should be associated in order to handle the distributed tasks. However, the heterogeneity of the associated machines is to be considered during the tasks scheduling. In this paper, we propose a new...
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