Vector Thread

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Manage Java thread pool and build distributed Hadoop scheduling framework

Usually the development of the thread is a thing, such as Tomcat is a servlet in the threads, there is no thread how do we provide multi-user access? But many developers who have just started to touch threads have suffered a lot.   How to do a set of simple threading Development Mode framework for everyone from the single thread development into multithreaded development, this is really a relatively difficult project. What is the specific thread? First look at what the process is, the process is a system executed a program, this program can use memory, processor, file system and other related resources ...

Structural design analysis of anatomical twitter:twitter system

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

Pangu Master Optimization Practice

Pangu is a distributed file system, in the entire Alibaba cloud computing platform-"flying", it is the earliest developed services, so with the ancient Chinese mythology epoch-making Pangu named for it, hoping to create a new "cloud world." In the "flying" platform, it is the cornerstone of the data storage system, which hosts a series of cloud services (shown in Figure 1). Pangu's design goal is to aggregate the storage resources of a large number of general-purpose machines to provide users with large, high availability, high throughput and good scalability storage services. Pangu's upper service, both to ...

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

Machine learning algorithms: the key to making computers smart

The algorithm "trains" in some way by using known inputs and outputs to respond to specific inputs. It represents a systematic approach to describing the strategic mechanisms for solving problems.

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Anatomy of Twitter "7" as a progressive not thorough

"7" as a progressive not completely incomplete way of working, for architectural design is a progress. When a user from a browser requests to reach the Twitter backend, the first one to greet it is the Apache Web Server. The second exit is Mongrel Rails Server. Mongrel is responsible for handling requests for uploads as well as for downloading requests. Mongrel processing upload and download business logic is very concise, but the simple appearance, but contains the unconventional ...

Community economy-the next internet revolution

Wen/Liu Huafang connect Everything, is the essence of the Internet, I am in the "Internet meditation" to focus on the meaning of the connection, through our connection to the vector, information flow, pipe width, such as the understanding of the gradual deepening of the Internet connection all the blueprint is a step-by-step into reality.  The connection is to tell us that the way to create value does not necessarily subvert the invention, but to bring good user experience and convenience, Internet thinking is not in fact mysterious, only one, is connect. When Millet became the industrial miracle, from the media climax fell into ...

Ten Questions of GPU Computing - Reconsideration of GPU Computing

The emergence of GPU in recent years, the development of high-performance computing can be described as playing an immeasurable role in promoting. GPU computing on the order of magnitude increase in performance so that it has more success than traditional solutions success stories. A large number of technology workers love, sought after or use GPU technology, but at the same time there are more people for a variety of reasons to sit idly by. This article addresses the latter and summarizes some of the most common problems, concerns, or subjective assumptions in the field of GPU computing. The rest of this article will attempt to address these challenges by rethinking these questions as GPU computing progresses and our projections of future technological developments ...

Approaching Fuxi, talking about the scheduling and performance optimization of 5000-node cluster

5K Project is the milestone of the flying platform, the system in scale, performance and fault tolerance have been a leap-type development to reach the world's leading level.   Fuxi as a flying platform distributed scheduling system, can support a single cluster 5000 nodes, running 10000 jobs, 30 minutes to complete the 100TB data Terasort, performance is at that time Yahoo! in the Sortbenchmark of the world record twice times. Fuxi introduced "Flying" is Alibaba's cloud computing platform, which distributed scheduling system is named "Fuxi" (Code name f ...).

Spark: The Lightning flint of the big Data age

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

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