Search results for "Load management"
showing 10 items of 23 documents
Design of an exact data deduplication cluster
2012
Data deduplication is an important component of enterprise storage environments. The throughput and capacity limitations of single node solutions have led to the development of clustered deduplication systems. Most implemented clustered inline solutions are trading deduplication ratio versus performance and are willing to miss opportunities to detect redundant data, which a single node system would detect. We present an inline deduplication cluster with a joint distributed chunk index, which is able to detect as much redundancy as a single node solution. The use of locality and load balancing paradigms enables the nodes to minimize information exchange. Therefore, we are able to show that, …
Power flow management controller within a grid connected photovoltaic based active generator as a finite state machine using hierarchical approach wi…
2020
Abstract Grid integration of photovoltaic (PV) system with a hybrid energy storage can help not only in increasing more penetration of PV system into the network but also in improving the power system dynamics and control in addition to helping the demand side management. In this work, a PV system with a hybrid energy storage including a battery array and a super capacitor bank is going to work as an active generator with innovative load management and power flow control strategies for managing the active power demand locally considering the grid constraints. This work proposes an architecture for a PV based active generator, which can provide active power in controlled manner while maintai…
A Review of Key Performance Indicators for Building Flexibility Quantification to Support the Clean Energy Transition
2021
The transition to a sustainable society and a carbon-neutral economy by 2050 requires extensive deployment of renewable energy sources that, due to the aleatority and non-programmability of most of them, may seriously affect the stability of existing power grids. In this context, buildings are increasingly being seen as a potential source of energy flexibility for the power grid. In literature, key performance indicators, allowing different aspects of the load management, are used to investigate buildings’ energy flexibility. The paper reviews existing indicators developed in the context of theoretical, experimental and numerical studies on flexible buildings, outlining the current status a…
Decoupled Downlink-Uplink Coverage Analysis with Interference Management for Enriched Heterogeneous Cellular Networks
2016
Heterogeneous cellular networks (HetCNets) offer a promising solution to cope with the current cellular coverage crunch. Due to the large transmit power disparity, while following maximum power received (MPR) association scheme, a larger number of users are associated with macro-cell BS (MBS) than small-cell BSs (SBSs). Therefore, an imbalance load arrangement takes place across the HetCNets. Hence, using cell range expansion-based cell association, we can balance the load across the congested MBS. However, using MPR association scheme, users’ offloading leads to two challenges: 1) macro-cell interference , in which the MBS interferes with the offloaded users, and 2) coupled downlink-uplink…
Analysis of load balancing and interference management in heterogeneous cellular networks
2017
To meet the current cellular capacity demands, proactive offloading is required in heterogeneous cellular networks (HetCNets) comprising of different tiers of base stations (BSs), e.g., small-cell BSs (sBSs) and conventional macro-cell BSs (mBSs). Each tier differs from the others in terms of BS transmit power, spatial density, and association bias. Consequently, the coverage range of each tier BSs is also different from others. Due to low transmit power, a fewer number of users are associated to an sBS as compared with mBS. Thus, inefficient utilization of small-cell resources occurs. To balance the load across the network, it is necessary to push users to the underloaded small cells from …
A task scheduling algorithm for HPC applications using colored stochastic Petri Net models
2017
The increase in demand for High Performance Computing (HPC) scientific applications motivates the efforts to reduce costs of running these applications. The problem to solve is that of dynamical multi-criterial optimal scheduling of an application on a HPC platform with a high number of heterogeneous nodes. The solution proposed by the authors is a HPC hardware-software architecture that includes the infrastructure for two level (node and inter-node level) adaptive load balancing. The article presents the development of an Coloured Petri Net(CPN) for such an architecture. The model was used for the development of a dynamic distributed algorithm for the scheduling problem. The CPN allowed a …
The Model for Balancing Learning Workload
2015
Abstract It is advised and accepted that teachers carefully plan their lessons thus it is also crucial that there should be guidelines and recommendations on how students should plan their time to study and how much time is necessary to perform certain learning activities. This time management should be taken into account when planning students’ workload and for balancing it. During the research mental representations and approaches were reviewed and their role in the reasoning, as well as within the context of discerning the meaning and similarity. Examples are given for types of statistics and summaries that can help in evaluating the effectiveness and appropriateness of learning material…
A Coexistence Analysis of Blockchain, SCADA Systems, and OpenADR for Energy Services Provision
2022
The advent of blockchain technology allows the raise of new business models for the electricity market, opening the way also to end-users and letting them offer regulation services to the power grid. Thanks to the characteristic of being distributed, the blockchain technology could be a solution to balancing problems caused by the penetration of renewable sources, implementing a platform for Demand-Response programs delivery. Demand-Response allows consumers to respond to market signals by increasing or reducing their energy consumption, contributing to greater flexibility and stability of the grid and to a more efficient use of infrastructures and energy resources. Currently, Demand-Respon…
Reinforcement Learning Based Mobility Load Balancing with the Cell Individual Offset
2021
In this study, we focus on the cell individual offset (CIO) parameter in the handover process, which represents the willingness of a cell to admit the incoming handovers. However, it is challenging to tune the CIO parameter, as any poor implementation can lead to undesired outcomes, such as making the neighboring cells over-loaded while decreasing the traffic load of the cell. In this work, a reinforcement learning-based approach for parameter selection is introduced, since it is quite convenient for dynamically changing environments. In that regard, two different techniques, namely Q-learning and SARSA, are proposed, as they are known for their multi-objective optimization capabilities. Mo…
A SURVEY ON SMART GRIDS ACTIONS AND COMPONENTS FOR ENERGY CONSUMPTIONS OPTIMIZATION
2014
In the paper a survey on the features that a smart grid has to perform for energy consumptions optimization are presented and explained. By optimizing the loads usage with the grid priorities both end-users and the energy providers can save energy (and so CO2 emissions) and money. In the paper the conceive of an architecture in-home and at residential level is proposed to arrange a smart grid with its intelligent and connected load consumers. Qualitative results from the European research project “BeyWatch” are here mentioned in order to explain how the conceived main services in smart grid, like monitoring and control services, energy management services and load management services allow …