superstep

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Giraph source code analysis (9) Analysis of Aggregators principles

each superstep, each Worker calculates the local aggregation value. After superstep computing is complete, the local aggregation value is sent to the Master node for summary. After MasterCompute () is executed, the global aggregation value is sent back to all Workers. Disadvantages: When an application (or algorithm) uses multiple Aggregators, the Master node must complete the computing of all the aggregat

Pregel and Spark GraphX's Pregel API

IntroductionAfter the rise of Hadoop, Google released three research papers, respectively, the caffeine, Pregel, Dremel Three technology, these three technologies have also become Google's new "troika", One of the Pregel is Google's proposed framework for large-scale distributed graph computing. It is mainly used for calculation of graph traversal (BFS), Shortest Path (SSSP), PageRank calculation and so on. In Pregel calculation mode, the input is a forward graph, and each vertex of the graph ha

Introduction to BSP Model

Basic parameters in the BSP ModelThe BSP model serves as a bridge between the computer language and the architecture. The following three parameters describe the distributed storage multi-computer model:● Processor/memory module. P is used in the model to represent the number of processor/memory modules.● A vro that transmits messages point-to-point between processors and memory modules. In this model, G represents the router throughput (also known as the bandwidth factor );● Execution interval

Figure database Pregel

own values, so they become inactive. After the function is executed, the active node sends a message again, and the system enters the 2nd superstep. The node in the second row is inactive because it receives new messages, therefore, when the value reaches 6, the node is active again, and other nodes are inactive. Pregel enters the 3rd superstep, and all nodes are inactive. Therefore, the computing task is

Giraph Basic Introduction

Giraph Introduction: Apache Giraph is a iterative graph processing system built for high scalability. For example, it's currently used at Facebook to analyze the social graph formed by users and their. Giraph originated as the Open-source counterpart to Pregel, the graph processing architecture developed at Google and DESC Ribed in a paper. Both systems are inspired by the Bulk synchronous model of Parallel distributed computation by introduced Leslie. Giraph adds several features beyond the ba

How long can the glory of hadoop continue?

even more surprising that the published data shows that Pregel can process a graph with billions of nodes and trillions of edges in just a few minutes, the execution time increases linearly with the graph size. Based on the BSP model, Pregel is the "computing"-"communication"-"synchronization" Mode: Input and output are directed graphs. Split into supersteps Node-centric computing. In a superstep, each node executes its own tasks. The Node execut

How long can the glory of hadoop continue?

Pregel can process a graph with billions of nodes and trillions of edges in just a few minutes, the execution time increases linearly with the graph size.Based on the BSP model, Pregel is the "computing"-"communication"-"synchronization" Mode: Input and output are directed graphs. Split into supersteps Node-centric computing. In a superstep, each node executes its own tasks. The Node execution sequence is uncertain. Two supersteps are in the Com

How long can the glory of hadoop continue?

, Google built Pregel. Pregel is very impressive. Pregel not only can efficiently execute SSSP or PageRank algorithms, but is even more surprising that the published data shows that Pregel can process a graph with billions of nodes and trillions of edges in just a few minutes, the execution time increases linearly with the graph size. Based on the BSP model, Pregel is the "computing"-"communication"-"synchronization" Mode: Input and output are directed graphs. Split into supersteps Node-cen

"Spark/tachyon: Memory-based distributed storage System"-Shifei (engineer, Big Data Software Division, Intel Asia Pacific Research and Development Co., Ltd.)

by a number between 0 and 1, and the weight product must also be 0 to 1 floating-point numbers, and their correlation decreases as n increases. In reality this is a social network to calculate the relevance of different users, e-commerce website product recommendations and so on. In solving this problem, we use two kinds of diagram framework to achieve, one is bagel one is graphx. First of all, I'll talk about the implementation of bagel, when Spark implements Bagel, the new data for each node

Graph processing series (1)-network generation and graph inbound computing

project relationship 1: Thinkerpop project framework The latter is mainly a Parallel Graph Processing Package Based on the BSP model. BSP is a parallel computing model proposed by Harvard Viliant and Oxford University Bill McColl. A BSP model consists of a large number of associated processors, which form a communication network. Each processor has a fast local memory and different computing threads. A BSP computing process consists of a series of global supersteps. a vm is an iteration of c

Understand GRUB encryption in LINUX boot loader

GRUB encryption is a common task in LINUX. But today I checked this on the internet and found that many people wrote it very easily, and the methods were outdated. So here I will update the GRUB encryption knowledge. Share with you. GRUB is to configure the/boot/grub. conf file. First, let's talk about the benefits of GRUB encryption. 1. users who do not know the password cannot start the system. 2. prevent others from modifying startup parameters. GRUB encryption is divided into two types.

Hama vertex programming

Hama is based on the BSP model implementation on HDFS. Apache Hame is an open source implementation of Google PregelPregel is a general-purpose programming model proposed by Google for large-scale graph computing. Many practical applications involve large-scale graph algorithms, such as Web links , social relationships, location maps, citation relationships in research papers, and so on, with a figure of up to billions of vertices and tens of billions of edges. The Pregel programming model is de

A more concise and correct understanding of gas model

cutting is computed according to the overall distribution probability density function of the graph: The vertex is cut according to this expectation, and the traditional communication process is modified, as shown in Figure 2 below. Figure 2 Communication process based on Vertex-cut In the experiment, the Powergraph implemented three versions (global synchronous, global asynchronous, serializable asynchronous) according to the synchronous mode. 1. Global synchronization and Pregel similar,

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