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for storing metadata. The elastic hash algorithm forms the basis of this computation. Each file is assigned a hash value based on its name and path. The namespace is then partitioned with respect ... Many shared storage solutions are currently vying for users’ favor; however, Ceph and GlusterFS generate the most press. We compare the two competitors and reveal the strengths and weaknesses of each

are generally pretty cheap – go you!). That means you could easily be mirroring 1000+ partitions into your central Kafka for each edge cluster. Figure 1: The data ... A guide to 10x scaling in Kafka with real-world metrics for high throughput, low latency, and cross-geographic data movement.

of graph databases allow the correlation and recognition of current data in real time. Furthermore, graph databases offer massive speed advantages when it comes to evaluating special datasets. Limits ... Analyze scattered but related data in real time with a graph database.

If you compile software on an expensive supercomputer, it’s a good idea to select the languages and compilers with particular care. We report on tried-and-proved tools used on Super ... , built by IBM at a cost of around EUR135 million, has 19 compute islands with approximately 8,200 cores each, and six newer islands with 14,300 cores each. It achieves a speed of around 6 petaFLOPS (10 ... If you compile software on an expensive supercomputer, it’s a good idea to select the languages and compilers with particular care. We report on tried-and-proved tools used on Super

,200 files is perhaps an attractive approach to a low-tech solution, its simple bulk is unruly. Also, editing the text as database entries would be much simpler, employing only a few more fairly simple ... A Perl script strips HTML markup, creating text files, and makes each file an entry in a database.

technology known as HoneypotMe moves honeypot functionality to real systems on the production network. ... and avoid it. This is the case in particular with technically savvy individuals, whose attacks might be impossible to detect by honeypots in certain circumstances. For example, if the attacker has information ... technology known as HoneypotMe moves honeypot functionality to real systems on the production network.

The OpenACC data directive and its associated clauses allow you to control the movement of data between the host CPU and the accelerator GPU. ... OpenACC was designed with accelerators in mind, with the host CPU and the accelerator device each having their own memory. In my previous article, I showed how to use OpenACC loop directives to off ... The OpenACC data directive and its associated clauses allow you to control the movement of data between the host CPU and the accelerator GPU.

Microsoft is not known for its tireless commitment to Linux interoperability, but you can still get Windows to work with Linux – if you have the tools and know the tricks. ... get a Windows 8 system to join a Samba current domain, but until the members of the Samba project finish their work, you need to make changes to each Windows 8 system you want to use with Samba ... Microsoft is not known for its tireless commitment to Linux interoperability, but you can still get Windows to work with Linux – if you have the tools and know the tricks.

Microsoft is now baking artificial intelligence (AI) right into its products, most notably Office 365. Speaking at the annual Ignite conference in Atlanta, GA, Microsoft CEO Satya Nadella said that ... Instead of using AI to beat humans in games of chess, Microsoft is putting AI to real work. ... Artificial Intelligence is Coming to Microsoft Office 365

In the third article of this three-part series, we look at simple write examples in Python and track the output with strace to see how it affects I/O patterns and performance. ... .4.6), and the default Python (2.6.6). With the use of a simple example in each language, I’ll vary the number of data type elements to get an increasing amount of I/O. The strace output captured when the application ... In the third article of this three-part series, we look at simple write examples in Python and track the output with strace to see how it affects I/O patterns and performance.