What Is Data Concurrency

Concurrency kit is a concurrency tool that provides a large number of concurrent primitives and unlocked data structures designed to help implement high-performance, scalable parallel systems. The main feature is to minimize the dependence on the limited operating system interface, most interfaces rely on a strict standard library and a popular compiler extension subset, to provide a unified interface, easy to program in different systems porting. Concurrency Kit 0.2 This version improves the RPM specification file, fixes a ck_ring, manual page Start, a new unlocked ...

Concurrency kit is a concurrency tool that provides a large number of concurrent primitives and unlocked data structures designed to help implement high-performance, scalable parallel systems. The main feature is to minimize the dependence on the limited operating system interface, most interfaces rely on a strict standard library and a popular compiler extension subset, to provide a unified interface, easy to program in different systems porting. Concurrency Kit 01.5 This version was clang improved, changed CK_PR to Ck_epoch, and a new base ...

Concurrency kit is a concurrency tool that provides a large number of concurrent primitives and unlocked data structures designed to help implement high-performance, scalable parallel systems. The main feature is to minimize the dependence on the limited operating system interface, most interfaces rely on a strict standard library and a popular compiler extension subset, to provide a unified interface, easy to program in different systems porting. Concurrency Kit 0.1.7 This release fixes compilation errors in previous versions, including the creation of destdirhttp://w ...

The Concurrency Kit Concurrency Toolkit is designed for concurrent native methods and locking less data to help design and perform scalable parallel system execution structures with high performance. It is designed to minimize interface dependencies on specific operating systems, and the subset that most interfaces rely on in standard libraries and popular compiler extensions. This project minimizes the relevance of the operating system and provides a unified interface to facilitate the porting of programs between different systems. Concurrency Kit 0.0.5 This version includes improvements to build the system, real read/...

The upcoming Stardog 2.1 query scalability improves by about 3 orders of magnitude and can handle 50 billion triple on a 10,000-dollar server. We have never focused too much on stardog scalability itself: we first consider its ease of use and then consider its speed. We just assumed it would make it extremely scalable. Stardog 2.1 makes querying, data loading, and scalability a huge leap forward. Run S on a 10,000 dollar server hardware (32 cores, 256 GB RAM).

Concurrency Kit 0.0.6 This release includes the impact of Mac OS X and Ck_ring_size bug fixes for building system resiliency. SPSC No wait FIFO implementation provides http://www.aliyun.com/zixun/aggregation/17496.html "> add-on features, including a spinlock extract, an unstable ck_fifo_spsc_ IsEmpty implementation, FIFO stub node visit ...

Concurrency Kit 0.1.0 This release includes support for establishing DESTDIR systems and includes a branch that compares dangerous pointers. Concurrency Kit provides a large number of concurrent native methods and data structures to help design and implement system development for this performance. This project minimizes the relevance of the operating system and provides a unified interface to facilitate the porting of programs between different systems. Download Address: http://concurrencykit.org/releases/ck-0.1 ...

In the country, the house urgent send now has more than 3,000 business outlets, and the network covers more than 2000 cities and regions nationwide. Rely on the mature of the express platform, now every year, home urgent delivery of goods in and out of Hong Kong more than billion, has been able to proudly call themselves goods through the world. Home delivery business platform can support 7,000 people at the same time online, support 600,000 daily work order business volume, business peak period or even million or so. So big and so heavy business volume, at the same time can guarantee simple management, responsive and accurate data, so, how to do it? First of all, from the house rush to send Bo ...

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...