6 research outputs found
An Aggregate MapReduce Data Block Placement Strategy for Wireless IoT Edge Nodes in Smart Grid
Big data analytics has simplified processing complexity of large dataset in a distributed environment. Many state-of-the-art platforms i.e. smart grid has adopted the processing structure of big data and manages a large volume of data through MapReduce paradigm at distribution ends. Thus, whenever a wireless IoT edge node bundles a sensor dataset into storage media, MapReduce agent performs analytics and generates output into the grid repository. This practice has efficiently reduced the consumption of resources in such a giant network and strengthens other components of the smart grid to perform data analytics through aggregate programming. However, it consumes an operational latency of accessing large dataset from a central repository. As we know that, smart grid processes I/O operations of multi-homing networks, therefore, it accesses large datasets for processing MapReduce jobs at wireless IoT edge nodes. As a result, aggregate MapReduce at wireless IoT edge node produces a network congestion and operational latency problem. To overcome this issue, we propose Wireless IoT Edge-enabled Block Replica Strategy (WIEBRS), that stores in-place, partition-based and multi-homing block replica to respective edge nodes. This reduces the delay latency of accessing datasets for aggregate MapReduce and increases the performance of the job in the smart grid. The simulation results show that WIEBRS effective decreases operational latency with an increment of aggregate MapReduce job performance in the smart grid
Evaluating the Potential Impact of Smart Grid Funding on Reducing the Economic Impact of Large Outage Events in the United States from 2003 to 2017
Stuck-at Fault Analytics of IoT Devices Using Knowledge-based Data Processing Strategy in Smart Grid
A review of fuzzy-based residential grid-connected microgrid energy management strategies for grid power profile smoothing
This book covers different aspects of energy sustainability in residential buildings and neighborhoods, starting from the construction and design aspects, and moving on to HVAC systems and lighting, and the applications, harvesting, use and storage of renewable energy. The volume focuses on smart and sustainable use of energy, discussing both the technological advancements and the economic, social and environmental impacts. Novel approaches to recycling of waste and materials in the context of residential buildings are also presented. This volume will be of interest to researchers and policy makers working in the fields of renewable energy, sustainable design and city planning.Peer ReviewedPostprint (published version