Posted by BlairMABEL25 May - 8 - 2015 ADD COMMENTS

Network Security with NetFlow and IPFIX: Big Data Analytics for Information Security (Networking Technology: Security)

Network Security with NetFlow  and IPFIX: Big Data Analytics for Information Security (Networking Technology: Security)

Today, security demands unprecedented visibility into your network. Cisco NetFlow can help companies of all sizes achieve and maintain this visibility. Network Security with NetFlow and IPFIX: Big Data Analytics for Information Security is the definitive guide to using NetFlow to strengthen network security. Omar Santos, Technical Leader of Cisco’s Product Security Incident Response Team (PSIRT), covers all you need to successfully capture network telemetry with NetFlow and use it to: See w

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Posted by admin February - 13 - 2015 ADD COMMENTS

Some recent distributed computing auctions on eBay:

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Posted by BlairMABEL25 December - 24 - 2012 ADD COMMENTS

distributed computing eBay auctions you should keep an eye on:

Distributed and Cloud Computing : From Parallel Processing to the Internet of...
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Posted by gildenshelton565 August - 21 - 2012 ADD COMMENTS

by Lamsus Crusoe

Article by Benedict Smythe

The Palpable Paradigm Shift in Networking and Computing – Computers

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The last decade has shown the gradual yet speedy decentralization of computing. All around the world, the role of the large mainframe computers, who used to handle nearly all vital functions in computing, are losing power.

This decided loss of power of the traditional mainframes can be attributed to the rise of smaller yet dynamic networks of computers. Sometimes the ones handling these networks aren’t even professionals. The keyword here is distribution.

According to John S. Quarterman and Smoot Carl-Mitchell of Texas Internet Consulting:

“Timesharing and batch systems still have uses, but the large mainframe is no longer the only way to do computing. Networks have spread computing power, access, and costs beyond centralized computer centers.

“Personal computers have made computing accessible to many new users. Distributed computing attempts to bring the manageability of mainframe computing together with the accessibility of networked computing and the transparency of personal computing.”

Perceived effects

The perceived effects of this palpable paradigm or theoretical or conceptual shift from centralized computing to well-distributed computing is what the authors above call “great organization and transparency”.

Client and server computing and even peer to peer networks are forming dynamic lives and rules of their own, separate from the large mainframe computers of the yesteryears.

It is important to note these changes because the decentralization is key to the rise of the DOTCOM era in the nineties. To view computing as simply a hindrance to profit is inexcusable. There has to be scientific grounding first.

John S. Quarterman and Smoot Carl-Mitchell of Texas Internet Consulting further explain the concept of distributive computing:

“Many open systems are based on or implement interfaces related to the UNIX timesharing system. When open networking also provides transparent user access to resources and other users, it is called distributed computing.”

Boom and bust

Similar to the boom and bust cycle of capital-intensive industries, the wild frontier that is the Internet owes its own small Market and Economy to the distributive form of computing.

With the independence of small merchants with relatively small computer systems, the online mercantile system had been made possible. While larger companies are using larger computer systems, it remains a fact that thousands upon thousands of online merchants are using small systems for business.

Historically, we can locate the shift with the appearance of the following:

Four technological factors drove the decentralization of computing:

* Portable UNIX operating system
* Publicly available networking protocols
* Cheap microprocessors
* Cheap data communications (fiber optics) (Quarterman & Smoot-Mitchell, 32)

Microprocessors made Google king

With cheaper communications, it follows that many profited from the Internet enterprise. Google is one of the largest profiteers in the online boom and bust. We can make sense of this if we understand just what happened to the most expensive part of the computer a few decades ago:

“These are essential for both personal computers and workstations. Processors have decreased in price steadily over the past decade, but around 1986 processors such as the Intel i386 and the Motorola MC68020 became available that were powerful enough and inexpensive enough to support UNIX-class workstations with reasonable network performance, RISC chips such as the Motorola 88000, those from MIPS, the Sun SPARC chip, and the IBM ROMPchip, are also becoming increasingly popular.” (Quarterman & Smoot-Mitchell, 33)

About the Author

The author of this article is Benedict Yossarian. Benedict recommends Comm Store for all your networking needs including Cat 5e Cable and also Root3 for IP CCTV systems

Use and distribution of this article is subject to our Publisher Guidelines
whereby the original author’s information and copyright must be included.

Benedict Smythe



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Posted by admin July - 31 - 2012 ADD COMMENTS

Home Automation & Networking Ebook
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Distributed and Cloud Computing : From Parallel Processing to the Internet of...

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Posted by jaymepobre748 April - 7 - 2012 ADD COMMENTS

Cisco, EMC, VMware Team Up on Networking, Cloud Training
The joint educational effort, announced April 2, comes at a time when technology trends, including cloud computing, big data and converged infrastructures, are significantly changing the way enterprise IT professionals run their data centers.
Read more on eWeek

Hadoop 2.0: MapReduce in its place, HDFS all grown-up
Certain Data Mining engines have used that to particular advantage before, and the Hadoop community is very large, so this has major potential. We may also see optimized algorithms evolve for specific hardware implementations of Hadoop.
Read more on ZDNet (blog)

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