software

University of Maryland – University College

Waldorf College

Lehigh University - Average SAT score: 1980

Villanova University - Average SAT score: 1960

University of Minnesota -  (Minneapolis-St. Paul, MN, USA)

It manages the school learning program so successful for students in grades K-12.

With just under 70,000 students, 25,000 faculty members of the management faculty, and alumni network of more than 400,000, on the Internet Minnesota influence has surrounded the world.

This combination of huge financial resources and legions of brilliant minds is why in the state of Minnesota has no less than 325 research centers and institutes, and give students the opportunity to pursue their passions no matter where they lead.

This allows future teachers, parents, and children to learn about learning while learning about everything else. As a result, Minnesota stands at the forefront of education research.

University, which is located in the “Twin Cities” of Minneapolis-St main campus. Paul, has developed a successful program of medical research, particularly through the Children’s Hospital in Biomedical Library.

University of Minnesota has more people than the number of most armies in history soldiers.

Usually, the one that school size and the importance of Minnesota is expected to be driven from the publications and patents. However, despite the size of the university maintained a compassionate touch.

Brandman University

Colorado Technical University

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By Kirk Skaugen on July 28, 2015

I spend a great deal of time traveling around the world attending technology events and meeting with our customers. I get to test-drive new laptops, 2 in 1s and tablets on a regular basis. And I get to try out the new operating systems that run on them. I check the performance, new usages and experiences, and generally try to see how much these things have improved.

Over the years, I have seen technology make great strides and deliver amazing new user experiences and increased productivity. But I am especially excited about what is coming to market this year.

Today, we celebrate the launch of Windows® 10 with Microsoft and support their vision of inspiring and empowering people with technology. Windows 10, combined with Intel’s best new processors powering these new devices, marks a major milestone in helping drive new computing experiences forward. This is one of those pivotal moments in time where Intel and Microsoft products are building on each other and delivering some amazing new user experiences.

Hundreds of millions of people who are accustomed to the performance and experiences of their 5 year old computer will want to take a second look at their machine. New computers, powered by the 5th Gen Intel® Core™ processors, run the latest software and apps, offer 3 times the battery life, are 10 times better when it comes to gaming, and are almost half as thin and light compared to those older computers. Those old PCs just aren’t capable of delivering the experiences that can help people and businesses run more effectively, efficiently and intuitively. To add to that, system prices have been steadily on the decline even with the addition of a broad set of new features, making this the best time to buy a new device , ever.

This year, new Intel® Atom™ x5 and x7 series and Intel Core processors running Windows 10 will deliver amazing performance in exciting new form-factors. And only devices powered by x86 processors will let people take advantage of the full Windows 10 experiences while also running the existing Windows applications and peripherals people depend on today. So any Intel Atom x5 and x7-powered tablet can run both full Windows and all your favorite older Windows applications. That’s pretty exciting.

I’m also excited about many of the new experiences that take advantage of our best processors and newest system hardware including:

The Cortana Smart Digital Assistant can make dinner reservations, find out what’s playing at the local theater and remind you to pick up a gift or discuss a key report with a work colleague based upon your calendar for the week. Intel has enhanced the overall responsiveness of Cortana on its processors by optimizing speech algorithms, voice activation capabilities and improving microphone implementations.

Content and access to Xbox and Xbox Live on Windows 10 allow people to play Xbox games directly from their PC. The CPU and improved graphics performance enabled through Intel’s latest processors and Windows 10 are delivering new excitement to gamers.

Smooth wireless docking on Intel platforms running Windows 10 allows people to set up devices that pair automatically to a wide range of displays and USB peripherals.

Systems running Windows Hello, which works with Intel RealSense technology, let people unlock their PCs and 2 in 1s in a matter of seconds by scanning their faces using biometric authentication instead of typing a password.

By Roxanne Gryder on September 10, 2015

Intel announced the latest processor in our family of cable home gateways, the Intel® Puma™ 7 SoC.  The transition of media consumption to an on-demand, IP delivery model is driving consumers to demand faster broadband speeds and better Wi-Fi home networking solutions.  Intel’s portfolio of home gateway solutions, including the new Puma 7, enable service providers to bring new and improved connected home experiences that make consumer’s homes even smarter and more connected.

Puma 7 is built on Intel’s latest 14nm process technology and brings scalable x86 technology architectural innovations to the home gateway market.  It supports the latest DOCSIS* 3.1 standard ushering in a speed boost to provide multi-gigabit broadband services to subscribers. Based on a dual-core Intel Atom™ processor with support for Intel® Virtualization Technology and the Intel® Data Plane Development Kit(DPDK), Puma 7 will enable operators to leverage their investments in Network Function Virtualization (NFV) and Software Defined Networks (SDN) to bring innovative new services via the residential gateway.

Puma 7 Highlights:

Performance Leadership: Puma 7 has 5x the performance of our previous generation Puma gateway at the same power envelope to provide full WiFi support, IoT, security, and other services on chip1.

Best-in-class system power: The Intel® Puma™ 7 SoC is Intel’s first home gateway SoC manufactured on our 14nm process node. It provides compliance to evolving power regulation standards and enables small form factor, fan-less designs.

Rich Home Network Ecosystem: Puma 7 platforms support a wide range of validated third party technologies from best-in-class 4×4 Wi-Fi to voice recognition DSPs giving OEMs the flexibility to meet customer performance and cost requirements.

Architecture Consistency: OEMS can reuse their existing Puma™ family codebase and hardware toolkit to monetize their R&D investment with fast scaling and rapid time to market.

Networking Accelerators: Puma 7 incorporates a powerful programmable packet accelerator, uniquely designed to support evolving networking topologies and protocols with full offloading capabilities.

Open Platform: Puma 7 allows for speedy development and deployment via its architecture consistent SDK, ability to run Linux natively, and included support for other OS in a virtual machine.

14nm process technology: The latest volume manufacturing process node, Intel’s industry-leading 14nm process was designed from the ground up to take advantage of the latest 3D transistors allowing for more transistors and lower power consumption.

By [email protected] on September 3, 2015

Today, desktop PCs like the ASUS K20CE* mini PC come with up to 3TB SSD drive to accommodate users’ massive collections of HD videos, photos, eBooks, recorded TV, and other huge files. That’s terabytes! Some feature even more storage.

But how do you access these files away from home? You could use one of the many cloud services on the market; however, if you have lots of personal photos and videos, or large documents and files from work, you’ll quickly reach the cap on the free capacity and have to start paying monthly subscription fees. Plus, you’d need to remember to upload files that you might want to access later to the cloud, and if you want to change services, move your files digitally from one network to another, which can be a hassle, not to mention a security concern.

Access your data anytime, anywhere

A better option would be to take advantage ofIntel ReadyMode Technology (Intel RMT) and third-party remote access software such as Splashtop, Teamviewer, or Microsoft Remote Desktop to turn your desktop PC into an always-available “personal cloud” that lets you access all of your files on your other devices, such as your smartphone or tablet.

home computer so you don’t have to worry about people hacking into it. You can access it through remote log on or through VPN,” said Fred Huang, Product Manager, ASUS Desktop Division. “It’s a better way to access your personal files that exists today with ASUS systems running Intel RMT.”

Intel RMT replaces the traditional PC sleep state with a quiet, low power, OS-active state that allows PCs to remain connected, up-to-date, and instantly available when not in use. Plus, it allows background applications—like remote access software—to run with the display off while consuming a fraction of electricity it normally would when fully powered on.

For home PCs, this means you can get the convenience of anytime, cloud-like access to your files without a cloud-service bill, as well as the ability to share it outside your own personal login.

The perfect home (and work) desktop

Steve Loughran starts with a critical look at Netapp Open solution for Hadoop paper:

Actually it is weirder than I first thought. This is still HDFS, just running on more expensive hardware. You get the (current) HDFS limitations: no native filesystem mounting, a namenode to care about, security on a par with NFS, without the cost savings of pure-SATA-no-licensing-fees. Instead you have to use RAID everywhere, which not only bumps up your cost of storage, puts you at risk of RAID controller failure and errors in the OS drivers for those controller (hence their strict rules about which Linux releases to trust). If you do follow their recommendations and rely on hardware for data integrity, you’ve cut down the probability of node-local job execution, so all FUD about replication traffic is now moot as at least 1/3 more of your tasks will be running remote -possibly even with the Fair Scheduler, which waits for a bit to see if a local slot becomes free. What they are doing then is adding some HA hardware underneath a filesystem that is designed to give strong availability out of medium availability hardware. I have seen such a design before, and thought it sucked then too.  Information week says this is a response to EMC, but it looks more like NetApp’s strategy to stay relevant, and Cloudera are partnering with them as NetApp offered them money and if it sells into more “enterprise customers” then why not? With the extra hardware costs of NetApp the cloudera licenses will look better value, and clearly both NetApp and their customers are in need of the hand-holding that Cloudera can offer.

Then in a follow up post, he looks at a couple of alternatives (Lustre, GPFS, IBRIX, etc):

I’m not against running MapReduce—or the entire Hadoop stack—against alternate filesystems. There are some good cases where it makes sense. Other filesystems offer security, NFS mounting, the ability to be used by other applications and other features. HDFS is designed to scale well on “commodity” hardware, (where servers containing Xeon E5 series parts with 64GB RAM, 10GbE and 8-12 SFF HDDs are considered a subset of “commodity”).

The biggest reasonable that people struggle to make money online is that inner man cannot corral enough traffic toward their site. The marked down way to get traffic is hereby having a site that ranks plash modernized the search engines. This is why if me have cogent SEO skills you make the grade almost be compromised that you self-discipline be found fitted for to make money.

If you instruction how to properly optimize a website vice the search engines you will be able to make money online. The reason is that if better self can broaden the mind traffic to a site you will be able unto be entitled to money. There are several ways that other self may do this. The most obvious would be to build your own sites which can be monetized in any way that number one bare subsistence, merchandising ad space, selling affiliate products or selling your own work. Another option for making money with SEO is sell your services to other marketers who need in transit to get their sites to rank well. Learning how to impersonate hunting transformer optimization is not all that difficult. The precessional overlayer is to learn how to do keyword research. While it is logometric till rank for unitary keyword the experience is that some of them are perambulating towards take huge resources. Once you bring excellent at keyword research subconscious self will be able to find lots of fine keywords that get lots of searches and take in little competition.

Once you have some keywords that you can target ethical self is simply a matter of building a haunt around them. You are kinesis to want up to fathom the basics of onsite optimization which includes installations parallel putting the keyword in the right place and fashioning sure that subliminal self have a good internal linking structure. There are lots in reference to resources that you tushy use versus teach inner self this.

by Jay Judkowitz

This is the second in a series of four articles discussing infrastructure as a service (IaaS) clouds. The series started at basic level setting and we will now begin diving progressively deeper. The topics for the series are:

1. Cloud 101     - What is cloud     - What value should cloud provide     - Public, private, and hybrid cloud     - Starting on a cloud project 2. Application taxonomy, what belongs in the cloud, and why 3. What you should look for in cloud infrastructure software 4. Evaluating different approaches to cloud infrastructure software

Cloud is obviously a serious transformation for your datacenter, but that transformation does not need to be far off or futuristic. If you pick the right applications owned by the right users with the right needs and if you partner with the right cloud software provider, cloud and its many benefits are achievable today.

When first deploying a cloud, it is critical to choose the right applications to move to the cloud initially. Given that cloud is about allowing business units to manage their own computing needs, it follows that the ideal place for cloud is where the business units:

Expect self-service.

Are tolerant of incorporating provisioning logic into their day-to-day work.

Have variable compute needs for the tasks that generate the need for frequent provisioning and de-provisioning activities.

Have multiple tasks that cause context switching in the customers’ work, with different tasks acquiring and yielding compute resources over time.

Have workloads that, even at maximum interaction, do not cause complex resource contention issues on shared resources so that as much or as little can be deployed as necessary with little if any forethought or calculation.

If you break down the types of workloads in a datacenter, you get three major types:

Traditional, monolithic, and stateful client/server apps – things like Exchange Servers and traditional databases

Scale-out load balanced apps with disposable stateless instances

Batch type computing jobs that can be decomposed into small chunks of compute and storage and distributed across a pool – things like Hadoop, Monte Carlo simulations, business analytics, and media processing and conversion

For each class of application, there are dev/test deployments and production deployments. This gives us a simple six-way classification of what runs in a datacenter that we can use to select our cloud candidates.

The following chart shows which workloads are good for early cloud adoption and what should be dealt with later on in the process. Beneath the chart is some explanation and justification for this assessment.

(Green represents near-term opportunity and red represents something that should be sent to the cloud later on)

Scale-out Load Balanced Apps with Disposable Instances

This type of application does not rely on any one instance of software being able to grow to use tremendous amounts of compute resource. Rather it assumes that each instance can only do so much and that additional power will be supplied by adding more instances. For this sort of application to work the data and other application state must be driven out of the application itself to another location.This allows instances to be created and destroyed with no data loss or outage to the end user. The worst problem caused by failure of an instance is the need for the end user to retry their operation. When the operation is retried, it finds a live instance and completes without difficulty.

Generally, the application requires greater or lesser instances over time as load grows and shrinks. This creates a need for dynamism in the deployment with low turn-around time on provisioning operations. As load grows, the application must respond in a short period of time. Either the application administrator or some auto-scaling management system needs to be able to make the required changes without a ticket to the infrastructure team. When load is high, new instances must be spawned to handle the increased demands. When load drops, instances should be deleted to reclaim compute resources for more useful activity. Because the instances are stateless, without sufficient load that needs to be serviced, no instance has an inherent reason to remain persistently deployed.

Scale-out applications are also a great fit with the datacenter operations models required to manage a massive cloud.  Cloud scale datacenters need to assume that any piece of equipment can break at any time with the application being resilient and able to hide the failure from the end user. Scale-out applications accomplish this by spreading many instances across nodes, datacenters, or even geographies. This makes it much simpler for the infrastructure to be managed – failures become a capacity issue which can be managed in aggregate on a periodic basis, not end-user outage issues that need to be addressed immediately and individually.

More generally, this type of application is the way of the future in general. Due to current systems architectures, we are seeing more and more cheaper cores distributed across many commodity nodes rather than the massive scaling up of individual servers. The only way to really get applications to scale is to build for many smaller instances teaming up together. Some programming infrastructures take this to a logical conclusion. Node.js, a language increasingly used for scale-out web applications, refuses to give a program access to more than one core regardless of how many cores are in a system. Should the developer need more power, they need to increase the number of node.js application instances.

Scale-out applications and cloud are such a good match because they have the same goals – elastically, scale up and down in response to load using only the resources actually needed, distributing applications across hosts and sites to better tolerate systems outages without end user impact and better conformation to modern system architecture.

Batch Applications

Batch applications are decomposable to smaller compute and storage packages. They are good in both test/dev and production for similar reasons as the scale-out applications. As jobs are launched, the number of instances depends on how fine grained you can chunk the job. Given different sizes of data sets for separate runs, the number of instances needed for each run will vary. Therefore, statically provisioning instances doesn’t make sense. Furthermore, there are likely to be completely different applications in such an environment that will need to run at different times. Clouds are perfect for repurposing an infrastructure, ramping up one application while ramping down another without having to do a massive retooling of the physical infrastructure. Like with the last case, the infrastructure administrators should not decide how many and when to deploy instances. Activity needs to be driven by the business that is actually running the jobs and deriving benefit from the output.

Traditional IT Applications

Traditional IT applications, vertically scaled, stateful and monolithic are not good for clouds in their production deployments. These applications tend to be custom built for a particular load in mind, deployed once, expected to have each instance stay running persistently, and are only touched for upgrade. These types of applications are not a natural fit for the cloud paradigm. They do not accommodate dynamic scaling by simply adding more instances. As a result there is a reduced need for end-user self-service.  Also, since they are monolithic, any performance or availability problem must be addressed in the one or two instances that make up the application with a deep understanding of the impact of the underlying infrastructure. As a result, the burden of management remains on the infrastructure administrator and cannot shift the application administrator. This breaks the operational model of cloud where the datacenter administrator needs to be removed from the details of the running of applications.

However, traditional IT applications are very well suited to cloud when the service is development, integration, and testing of the applications. For this function, application owners need to deploy new instances of server software, update them, make new templates, try out their work and iterate. Furthermore, mass numbers of clients will need to be deployed for load and scale testing. The development and testing process generates the dynamism in workload resource needs as well as the requirement for self-service on the part of the IT developer that make a cloud an ideal solution.

Pick the Right Applications and Move to Cloud Today!

Too many times cloud is pitched as an evolutionary technology. In many cases, this is because the vendor making this pitch is already managing a legacy application stack for the customer and sees no reason for a radical shift.

Since these legacy applications do not accommodate elasticity and do not tolerate the more unpredictable availability of any single server that the cloud datacenter operations model implies, true clouds are limited in the benefits they can provide and cause a loss of SLA that is unacceptable to the end users of the legacy applications.

Of course, legacy applications will not go away any time soon and we acknowledge that it takes tremendous time and effort to move to a new programming paradigm. But, the technology is here today and the benefits have been made obvious – scale, resiliency, efficiency. The success stories of companies like Netflix and Zynga are well known. All that is needed is the will to move in that direction.

For enterprises and service providers that leverage modern applications development process, cloud is not an evolution at all – cloud is the best and most obvious way forward for development, testing and mass deployment of their applications.

Check Out This Cool Retro Apple Logo Iphone 6

Here’s an awesome throwback twist on Apple’s iphone 6.

Designed by Colorware, an aftermarket hardware customizing company, the inspiration is pulled from the Apple IIe, featuring the old school rainbow-colored Apple logo with off-white exterior. In exact replication to the colorway of the original Apple computer. Dig this — the phone even has imitated ‘vents’ to kick up the ’80s vibe about a…

[email protected] on September 16, 2015

Making a large investment in buying new servers and adding computing power to your data center is not a good thing, if you are not able to maximize the return on investment. Have you ever considered that the software can be the bottleneck for your data center performance? I came across an interesting case about how Tencent achieved significant results in storage system performance through software and infrastructure optimization.

Most of you are probably familiar with Tencent, one of China’s top Internet service providers. Its popular products like QQ instant messenger*and Weixin*, as well as its online games, have become household names among active online users in the country.

With the popularity of its social media products and massive user base in hundreds of millions, it is not surprising that Tencent needs to process and store lots and lots data like images, video, mail and documents created by its users. If you are a user of Tencent’s products, you are likely contributing your photos and downloading your friends’, too. To manage such needs, Tencent uses a self-developed file system, the Tencent File System* (TFS*).

Previously, Tencent utilized a traditional triple redundancy backup solution which was not an efficient solution in storage utilization. The storage media was found to be a major cost factor of TFS. As a result, Tencent decided to implement an erasure-code solution using Jerasure* open source library running on Intel®architecture-based (IA-based) servers.

As Tencent engineers validated the new solution, they noticed the computing performance was lower than the I/O throughput of the storage and network subsystems. In other words, the storage servers were not able to compute the data as fast as the I/O subsystem could move them. Adding more compute power might appear as an obvious but costly solution. Instead, Tencent used software optimization tools like Intel®VTune™ Amplifier XE and Intel® Intelligent Storage Acceleration Library to identify inefficient codes in its system and optimize them for the Intel® Xeon® processor-based server. The results were very effective and the bottleneck of system performance moved to the I/O subsystems. This was then easily addressed by Tencent when it migrated to a 10 Gigabit network using Intel® Ethernet 10 Gigabit Converged Network Adapter.

As a result of the cost-effective optimization effort, Tencent was able to get the most out of the storage system it deployed. Tencent found the optimized erasure code solution effectively reduced storage space by 60 percent and storage performance enhanced by about 20 times, while the I/O performance of TFS improved by 2.8 times. With cold data now being processed using the new TFS system, Tencent has saved significant server resources and raised the performance-price ratio for storage.

The process often starts with a planning stage in which plans are prepared by an architect and approved by the client and any regulatory authority.Then the site is cleared,foundations are laid and trenches for connection to services such as sewerage, water, and electricity are established. If the house is wooden-framed, a framework is constructed to support the boards, siding and roof. If the house is of brick construction, then courses of bricks are laid to construct the walls. Floors, beams and internal walls are constructed as the building develops, with plumbing and wiring for water and electricity being installed as appropriate. Once the main structure is complete, internal fitting with lights and other fitments is done, and the house may be decorated and furnished with furniture, cupboards, carpets, curtains and other fittings.

read more on https://en.wikipedia.org/