Scalability and Architectures
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Scalability and Architectures
Transcript of Scalability and Architectures
Scalability and Architectures
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Centralized Fossil Fuel Aging Outages, Congestions Vulnerability to
disasters
Cyber-Physical System
Smart Grid Domains
Advanced Metering Infrastructure (AMI)
AMI ◦ Measuring
◦ Collecting
◦ analyzing
Long-Term Data Storage/Management
Challenge: How to build a scalable Communication Infrastructure
Centralized AMI
Poor Scalability ◦ Huge interaction between distant entities
◦ High communication cost of collecting/usage
◦ High Probability of bottleneck
Scalability Analysis ◦ Define suitable performance metric
◦ How metric scales with communication needs
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Scalability: ◦ Ability to gracefully handle growing responsibilities
Easiness in increasing resources for growing load
Scalability Measure ◦ Accumulated Bandwidth-Distance Product (ABDP)
Measures the interaction between entities
Model communication resources/costs
Estimate of energy expenditure (one-hope communication)
Estimate of number of hopes in routing
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Centralized
Distributed MDMS
Fully Distributed System
Facilitate the management
Non-scalable ◦ Performance of communication
Bottleneck, delay, loss….
◦ Data processing
◦ Communication resources
Long path, bandwidth, hops….
Centralized
Distributed MDMS
Fully Distributed System
Scalable ◦ Shortening distance
◦ Reducing resources
◦ Reducing processing by rectifying data
Centralized
Distributed MDMS
Fully Distributed System
Scalable
Reducing communication costs between MDMS and operation center
Constant bandwidth between distributed and central server
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Practical deployment ◦ Cost of MDMSs
◦ Communication costs:
Distance
Bandwidth
◦ Architecture
Distributed: Minimizing the total cost
Distributed: Minimizing the total cost
Un-capacitated facility location problem
Decision Problem ◦ Answer: Y/N
◦ P: polynomial-time algorithm
◦ NP: polynomial-time algorithm
with non-deterministic machine
◦ NP-hard (Non-Deterministic
Polynomial-time hard) problem
[Traveling Salesman Problem]
There is no effective method
Complexity increases exponentially with M, N
Heuristic (approximate) algorithms
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Total Cost: ◦ Centralized
◦ Distributed
◦ Fully Distributed
◦ TotCost(C)>TotCost(D)>TotCost(F)
◦ TotCost(C) linrealy increases with parameters
Accumulated Bandwidth-Distance Product ◦ Centralized
◦ Distributed
◦ Fully Distributed
◦ ABDP(C)>ABDP(D)>ABDP(F)
◦ Fully distributed is more scalable than Distributed
Smart Grid Communication
Scalable Communication Architecture
Smart Grid Communication Architecture
Optimal Deployment
Scalability Analysis
Performance Evaluation
Impact of Smart Meters on Scalability Analysis ◦ distance and data rate
◦ Number of Smart Meters
◦ Unrealistic Simulation Results
Scalability Analysis is too asymptotic based on many simplifications ◦ Other-cell Interference
◦ Cost of Concentrators
Wireless and backhaul Capacity in Decision Making Process ◦ Between concentrators and MDMS
◦ Between MDMS and Central Server
QoS requirements ◦ Cost of Security
◦ Cost of Latency
Questions?
