Saturday, August 31, 2013

MIT develops 110-core processor (experimental)

A 110-core chip has been developed by Massachusetts Institute of Technology as it looks for power-efficient ways to boost performance in mobile devices, PCs and servers.

The processor, called the Execution Migraine Machine, tries to determine ways to reduce traffic inside chips, which enables faster and more power-efficient computing, said Mieszko Lis, a postgraduate student and Ph.D. candidate at MIT, during a presentation at the Hot Chips conference in California.

The chip is a general purpose processor and not an accelerator like a graphics processor. Typically a lot of data migration takes place between cores and cache, and the 110-core chip has replaced the cache with a shared memory pool, which reduces the data transfer channels. The chip is also able to predict data movement trends, which reduces the number of cycles required to transfer and process data.

The benefits of power-efficient data transfers could apply to mobile devices and databases,For example, data-traffic reduction will help mobile devices efficiently process applications like video, while saving power. It could also help reduce the amount of data sent by a mobile device over a network.
Fewer threads and predictive data behavior could help speed up databases. It could also free up shared resources for other tasks, Lis said.

The researchers have seen up to 14 times the reduction in on-chip traffic, which significantly reduces power dissipation. According to internal benchmarks, the performance was 25% better compared to other processors, Lis said..... Lis did not specify the competitive processors used for benchmarks.

The chip has a mesh architecture with the 110 cores interconnected in a square design. It is based on custom architecture designed to deal with large data sets and to make data migration easier, Lis said. The code was also written specially to work with the processor.

Friday, August 30, 2013

Developers hack Dropbox, show how to access to user data

Two developers have cracked Dropbox's security, even intercepting SSL data from its servers and bypassing the cloud storage provider's two-factor authentication, according to a paper they published at USENIX 2013.
https://www.usenix.org/system/files/conference/woot13/woot13-kholia.pdf
The paper presents "new and generic techniques to reverse engineer frozen Python applications, which are not limited to just the Dropbox world," the developers wrote

Thursday, August 29, 2013

What is Location Intelligence?

Location Intelligence  is a business intelligence (BI) tool capability that relates geographic contexts to business data. Like BI, location intelligence software is designed to turn data into insight for a host of business purposes. Such tools draw on a variety of data sources, such as geographic information systems (GIS), aerial maps, demographic information and, in some cases, an organization's own databases.

The term Location Intelligence is often used to describe tools and data employed to geographically “map” information. These mapping applications can transform large amounts of data into color-coded visual representations that make it easy to see trends and generate meaningful intelligence. The creation of location intelligence is directed by domain knowledge, formal frameworks, and a focus on decision support.

Saturday, August 24, 2013

VMware, Citrix and Microsoft virtual desktops get encryption security

AFORE Solutions today announced encryption software aimed at securing data in virtualized environments where Microsoft Windows applications are used, including virtualized desktop infrastructure deployments based on VMware, Citrix or Microsoft VDI.


AFORE's CypherX software can be used by either cloud providers on behalf of their customers or directly by the enterprise users in a private cloud deployment, according to the security firm's chairman and chief strategy officer, Jon Reeves. "This is intended for secure storage in the cloud," Reeves said about CypherX. "It sits between the application and the operating system itself in order to lock down applications. It encrypts all information flowing in and out, the file system, and the network or the clipboard."

Friday, August 23, 2013

What is ,,,, Hadoop?

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.

Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative.

Thursday, August 22, 2013

AdDuplex Windows Phone Statistics Report for August 2013


What is BIG DATA

Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, storage, search, sharing, transfer, analysis, and visualization.

As of 2012, limits on the size of data sets that are feasible to process in a reasonable amount of time were on the order of exabytes of data. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 quintillion (2.5×1018) bytes of data were created. 

Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead "massively parallel software running on tens, hundreds, or even thousands of servers". What is considered "big data" varies depending on the capabilities of the organization managing the set, and on the capabilities of the applications that are traditionally used to process and analyze the data set in its domain. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration."