Showing posts with label server colocation. Show all posts
Showing posts with label server colocation. Show all posts

Friday, September 1, 2017

ALGORITHMS: SCARY SMART AND SOMETIMES JUST PLAIN SCARY

Algorithms, complex mathematical equations designed to solve problems or perform a task, automate much of the technology that makes smart cities smart, from intelligent public transportation and traffic management to smart electrical grids and water usage. Algorithms are also a fundamental tool in transforming Big Data, first into useful analytics, and eventually into action. More on that later.


Data centers and colocation facilities, the pillars of smart cities, are replete with examples of the use of algorithms. Data Center Infrastructure Management (DCIM) tools predict cooling issues based on algorithms built from temperature pattern models. There are load balancing algorithms, which play an important role in distributing network or application traffic across servers, thereby dynamically improving the efficiency of computing resources. And there are smart storage algorithms, which process requests for video and other rich media, and hold the promise of reducing energy use for enterprise-level storage area networks by 20 to 50 percent.

The world’s first and eponymously-titled Euclidean algorithm came to us in 300 B.C. and is still used by computers today. In fact, without algorithms, there would be no computer operating systems, no World Wide Web, and no Google with which to Google “algorithms,” much less the name of that actress who starred in that movie with that guy.

Okay, so now we have your attention.

Getting Too Personal

Today, algorithms are increasingly affecting our personal and professional lives in ways that we can’t imagine or might even find unsettling. Consider the algorithm created by the analytics team at the U.S. retailer Target, which could calculate whether a woman is pregnant and even when she is due to give birth.

In a nutshell, Target, like every retailer, stores a history of every item their customers have bought and any demographic information the company has collected from them. Target analyzed this information against historical buying data for all the women who had ever signed up for its baby registries. The analytics team then created an algorithm that identified 25 products — from unscented lotion to supplements such as calcium and zinc to oversized purses large enough to double as a diaper bag — which, when collectively analyzed, assigned each shopper a “pregnancy prediction” score. More importantly, for direct marketing purposes, its algorithm also estimated a woman’s due date, so that Target could send coupons to customers’ homes timed to specific stages of pregnancy.

And what could be the harm in that? Pregnancy, birth, an impending bundle of joy? Well, some women, families, and especially, teenagers, preferred that their pregnancies remained private. But Target’s predictive algorithm-based marketing hadn’t factored that very human element into their campaign, and trouble ensued.

Every Digital Breath You Take

And then of course there is the U.S. National Security Agency’s XKeyscore program, which was one of the covert projects revealed by Edward Snowden. You may never have heard of XKeyscore, but it definitely has heard of you.

XKeyscore collects every digital breath you’ve ever taken on the Internet, including browsing history, Google searches, the content of your emails and online chats, and at the tap of the keyboard, can process that data through an algorithm to identify potentially subversive activity. The NSA’s own training materials identified XKeyscore as its “widest reaching” system for developing intelligence from the Internet.  Click here to visit original source....

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

Monday, May 22, 2017

TELEHOUSE TUTELAGE: EDGE COMPUTING IN THE ERA OF IOE

Micro Data Centers and Colocation Providers Will Enable a Future of Ubiquitous Connectivity

Driverless cars, drone-powered product delivery, and remotely monitored, environmentally controlled doghouses are but a few examples of the wondrous Internet of Everything. For the uninitiated, the Internet of Everything, or IoE, builds on the foundation of the Internet of Things (IoT) by adding network intelligence that allows convergence, orchestration and visibility across previously disparate systems. As we will learn further on, both micro data centers and colocation providers will play an integral role in enabling a future of ubiquitous connectivity.

One can envision the IoT as the equivalent of a railroad, including the tracks and connections, whereas the IoE is the railway line, as well as the connected trains, rail weather monitoring systems and sensors, departures and arrivals board, and even staff and customers. The Internet of Everything connects all these separate “things” into one cohesive whole, enabling these IoT-enabled devices and connected humans to communicate and share data with each other in real time.
Metaphors aside, the enormity of on-demand connectivity, compute, networking and storage necessary to enable the IoE will be challenging. Research firm Gartner forecasts that 8.4 billion connected things will be in use worldwide by the end of the year, up 31 percent from 2016, and reach 20.4 billion by 2020.
Considered a direct outcome of the growing interest in IoT and IoE, edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. With edge computing, IT professionals can provide data processing power at the edge of a network instead of maintaining it in a Cloud. Because of the need for high-speed computing — which, for example, would be critical for a driverless car to be able to stop for traffic signs and avoid fender benders — edge computing is considered more reliable than Cloud computing.
While much information will still be uploaded and processed through the Cloud, some applications will demand ultra-fast access to data, requiring the use of physical infrastructure that is closer to the edge versus where the data is centrally stored. However, as information is exchanged between more local and centralized data center facilities, one must consider the challenges that will emerge as a consequence. These include possible service disruption as well as latency and network reliability issues.
The reality is that to enable the IoE many organizations will deliver specific IoT applications and services from a variety of data centers ranging from smaller in-house networking facilities to large colocation data centers. And this will have implications for the overall levels of resilience and security that will be expected.
Large data centers and colocation facilities have the highest standards for such functions as data backup, failover systems and physical security. Backups are performed regularly and there is ample storage and server redundancy, enhanced by virtualization, in the event of equipment failure. Highly redundant power and cooling systems are de rigueur, and physical security is strictly enforced to ensure no unauthorized access. Click here to visit original source...
Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

Tuesday, May 16, 2017

TELEHOUSE GLOBAL SPOTLIGHT: OTT VIEWERSHIP IS FAST BECOMING OVER THE TOP

Colocation Provides a Solution to OTT Performance


Over-the-Top (OTT), in telecom parlance, refers to an app or service that delivers content such as streaming video and audio over the internet rather than traditional cable or satellite distribution. According to the 2017 OTT Video Services Study conducted by Level 3 Communications, viewership of OTT video services, including Netflix, Hulu and Amazon Prime, will overtake traditional broadcast TV within the next five years. Meanwhile, Juniper Research predicts that the global OTT market will increase to $18 billion in 2019, up from $8.5 billion just three years ago.

Additionally, it’s worthy of note that the audience for OTT content is growing not only in total viewership and revenue, but geographically. Last year, Netflix tripled its global reach by expanding into an additional 130 countries as the video streaming service took its most aggressive step yet in its plans for international growth.

The reason for the surge in OTT viewership lies in immediate gratification: People want what they want when they want it. OTT allows viewers to consume content whenever and wherever they desire on their preferred device. Particularly for millennials, appointment TV is now widely considered a legacy entertainment model.

Supporting the increasing volume of streaming video requires solutions to the hosting, delivery, bandwidth and performance challenges that all too frequently frustrate the Quality-of-Service and experience of online video viewers. Whether at the source or along the last mile, insufficient bandwidth creates interruptions that result in dreaded buffering pauses. Content providers address bandwidth challenges by compressing data and bringing content closer to users by placing the data on edge servers in strategically located data centers and colocation facilities around the world. However, in order for OTT players to successfully reach their audience, it’s critical to collocate within data centers capable of providing low-latency connectivity to end users throughout their target geographic regions. Click here to visit original source...


Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com