Dynamic Search Algorithm for unstructured Peer to Peer Networks
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The document proposes a Dynamic Search Algorithm (DSA) that takes advantage of different search algorithms like flooding and random walk. DSA switches between these algorithms based on the context to provide efficient searching in unstructured peer-to-peer networks. It was designed to address the key challenge of efficient searching in such networks. The algorithm's operation involves initially sending query messages to neighbors like flooding, and then switching to random walk where each receiving node passes the query to one neighbor. Performance is evaluated based on metrics like success rate, search time, and efficiency.
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It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
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Dynamic Search Algorithm for unstructured Peer to Peer Networks
- 1. By: I. V. Sai Manoj 07K91A0557 P. Rakesh 07K91A0532 P. Sowmya 07K91A0548
- 2. ABSTRACT • AIM : To design efficient search algorithms as a key challenge in unstructured peer-to-peer networks. • Previous designs: Flooding, Random Walk, etc. • DSA takes the advantage of various contexts under which each search algorithm performs well and efficient.
- 3. What are Unstructured Peer-to-Peer Networks ? Example: Gnutella Network
- 6. Random Walk - DFS
- 7. Flooding Random Walk KBS
- 8. Performance Evaluation • Success Rate • Search Time • Number of Query Hits • Number of Query Messages • Query Efficiency • Search Efficiency
- 9. Dynamic Search Algorithm – Operation • Query messages sent to • Strategy switches to RW (d.p) neighbors • Each Node that receives the query message would • Acts as Flooding or MBFS send the query message to one of its neighbors
- 10. Requirements • HARDWARE : Any processor above 500 MHz 128 MB RAM 10 GB HDD 650 MB Compact Disk Standard Keyboard and Mouse VGA and High Resolution Monitor • SOFTWARE : Windows OS JDK 1.5 Microsoft SQL Server 2005 Java Swings