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Google Offers Cheaper Version of Cloud Services to Run Low Priority Jobs

Google Cloud 300x267 Google Offers Cheaper Version of Cloud Services to Run Low Priority JobsSome departments in your company do not need cloud computing resources to carry high-performance tasks, right? Because Google has just formatted a service plan for such demands. Google launched Preemptible Virtual Machine, a new cloud service that allows to use computing resources at low costs. The offer is suitable for workloads with low priority and can, therefore, be interrupted.

The search giant introduced a new cloud platform that cost 70% less than the same default setting in Compute Engine. The Preemptible Virtual Machine can do well cheap, about $ 0.01 per instance/hour. The most affordable VM charges per hour can range anywhere between $ 0.03 per hour, up to $ 0.11 per hour or more. The problem is that the VMs may stop working when you need it or face peak periods.

The company argues, however, that the offer (in beta) serves very well the various computational tasks. The company cites, for example, some critical workflows that can be distributed among multiple virtual machines. However, it would be a bad idea to adopt the approach to process analysis, modeling, and simulations that require high computing power and instant answers.

To provide the service, Google will use the free capacity in its data center. At times when there is a peak in demand and Google needs more resources, virtual machines involved in Preemptible Compute Engine VMs are recalled and interrupts the current processing. Users receive a notice period of 30 seconds, which should be enough to save your work. Google said No Preemptible VM can run for more than 24 hours straight.

According to the Google post, “all machine types are charged a minimum of 10 minutes. For example, if you run your instance for 2 minutes, you will be billed for 10 minutes of usage. After 10 minutes, instances are charged in 1 minute increments, rounded up to the nearest minute. For example, an instance that lives for 11.25 minutes will be charged for 12 minutes of usage.”

According to Google, there are many that utilize cloud scalability and pricing model to calculate relatively intensive, but short-term assignments. It includes the coding of video, reproduction of visual effects and calculations based on large amounts of information, such as in data analysis, simulation, and genomics.

The solution is quite similar to that of Spot Instances offered by Amazon Web Services (AWS). The model of AWS differs in price. Google has a fixed cost while the competitor price varies according to demand.

The market leader AWS routinely cuts their cloud pricing. The company is facing tough competition with Google and Microsoft to maintain its lead in cloud computing and tries to woo more developers to come to its solutions with lower prices, more hardware offerings and more advanced technologies. Microsoft, on the other hand, progressed enough to be a serious threat to Amazon’s dominance in the market.

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Here’s the one VR concept that the smartest people at Oculus admit they’re nowhere near figuring out

Yes, there is something that Abrash doesn't know how to do.

We finally have a workable virtual-reality platform, but plenty of obstacles are between us and a Star Trek-style holodeck.

If you reach out to touch a table, you’ll feel the molecules of that piece of furniture push against your hand. Do the same thing in virtual reality, and you’ll feel nothing. This is a problem — and it’s one of the few that Oculus VR says it has no idea how to solve.

The company held a keynote address as part of its annual Oculus Connect developers conference today, and it put on something of a parade of its top talent. Business-development leader Anna Sweet, Oculus founder Palmer Luckey, and even Facebook founder Mark Zuckerberg all took the stage. But one of the more interesting points came when Oculus chef scientist Michael Abrash gave an in-depth speech about everything the company needs to do to go from where VR is today to where it should get to in the future.

From VentureBeat

Gaming is in its golden age, and big and small players alike are maneuvering like kings and queens in A Game of Thrones. Register now for our GamesBeat 2015 event, Oct. 12-Oct.13, where we’ll explore strategies in the new world of gaming.

Abrash talked about improving the visuals with a wider field of view. He talked about providing 3D audio. He even speculated about creating a chemical-based way to deliver various smells to Rift users.

For every problem, he posed a solution that is either possible today or one that the company sees a way to work to in the future. Well, he did that for every problem except one.

Abrash pointed out that no one is even working on a technology that will make it feel like your hand is touching a table where no table exists.

This is something I asked Palmer Luckey about in a conversation we had a few months ago. He told me — and Abrash’s talk today reiterates this point — that the company wants to solve every aspect of VR. He essentially wants Oculus working on a way to fool every one of your senses. When I asked him about touching an object and feeling like it exists, that led us to the aforementioned Star Trek holodecks. That sci-fi technology manifests protons that it can give mass to. When I posed that idea to Luckey as a joke, I was surprised that he had already considered the idea.

“Photons are a dead-end,” said Luckey then.

So while Oculus doesn’t know what will work to make objects feel real in VR, it has already scratched one idea off the list.

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The Solution for Unopened Email: More Email?

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Samsung Gear VR launches before December for $99

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We already knew Samsung’s final Gear VR was coming in 2015. Now we have a price and a better sense of the release timing.

The mobile-based virtual reality headset will launch in North America “in time for Black Friday” and worldwide “shortly after,” as Samsung SVP of Technology Strategy Peter Koo revealed when he took the stage at the Oculus Connect keynote on Thursday. It’ll sell for $ 99.

The final build of the Gear VR is 22% lighter than the “Innovator Edition” that first launched in Dec. 2014. It’s also got a revised design that does away with the top head strap and a smarter design for the side-mounted touchpad, with an directional pad-shaped indentation that should make blindly operating the controls more convenient. Read more…

More about Mobile, Entertainment, Gaming, Samsung, and Tech


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Get the most out of your marketing stack by unifying data sources

puzzle pieces

GUEST:

When it comes to getting the most value out of data, successful companies take a practical approach, first defining their own data strategy and then determining the tools needed to get it done. A good example of this is Airbnb, which set their own data strategy and tools to help users more accurately price their home listings. Too often, however, companies fail to lay out a clear strategy, instead relying on the available tools to show them where they need to go. Unfortunately, these tools usually serve up packaged metrics with data that is too detailed and lacks cohesion.

The mobile marketing data landscape

marketing data landscape mobile

In VentureBeat’s The State of Marketing Analytics: Insights in the age of the customer, author Jon Cifuentes writes:

“Enterprises are stuck between fragmented data silos…There’s customer data, inventory data, log data, search data, reporting, analytics, CRM, session data, et. al – with different vendors supporting each. While “real-time” customer data sounds nice in theory, the actual process of broadcasting this information through the organization is time-consuming, expensive, fragmented, and frustrating.”

These cobbled-together sources and tools provide directional insight but don’t align with initial expectations, particularly as companies start requiring custom insights and metrics.  In fact, most companies quickly find themselves in exactly the situation they had hoped to avoid – working in increasingly complex systems with considerably higher non-value added workloads.

data silo

The challenge for companies is: how do you align your data vision with your unique acquisition, engagement and monetization strategies?

Purpose-built tools like app analytics, A/B testing, marketing automation, etc. have done a great job in recent years of allowing non-technical people to analyze data, run tests and engage users. However, since these tools were built for single-use cases and by separate companies with proprietary data stores, they have failed to address a core issue: the need to access the same user data in order to truly provide a personalized experience to each user.

Data-capture tools and user engagement tools also need to be integrated in order to provide a full picture of how changes impact the product downstream.  For instance, teams need to be able to apply user actions from app analytics to run A/B tests, which will in turn impact the user experience.

The path forward

The solution exists at the platform level: unifying data sources before applications are built on top of them, with a flexible 2-way structure that enables real-time integration between event and user data, at all levels in the stack, and not just based on basic pre-determined rules with segmentations on top.

data silo2

This type of structure makes it possible for events to be enriched by boundless user attributes (user state) and enables contextual analytics.  This, in turn, produces a robust targeting framework, because now the user state can be updated in any manner, in real-time.  For example, Glassdoor utilizes this methodology to deliver real-time dynamic notifications of job alerts to users based on their prior behavior when browsing the Glassdoor website.

While many marketing vendors are fighting to define themselves as integrated or unified marketing platforms, most still need to reach deeper down the stack and unify product and marketing tools with data tools at a platform level.   Because they refer to the same data source, there will be no discrepancies between insights and actions.  For example, segments defined for analytics will maintain the same properties in A/B testing or content delivery.  Applications developed on top of unified data platforms will be inherently more flexible and manageable.

From VentureBeat

VB just released The State of Marketing Analytics: Insights in the age of the customer. $ 499 on VB Insight, or free with your martech subscription.

Omniata is coming out of beta on September 24th!  You can reach us at [email protected] to learn more. Though just coming out of beta, we’re already tracking 300 million monthly active users, 2 billion events per day, and handling over 17,000 requests per second!

Alex Arias is the CEO and cofounder of Omniata, a unified data, analytics and user engagement platform.  For more than 10 years, Alex has been an entrepreneur and driver of innovation in digital services, working previously at Digital Chocolate and EA.  He’s been helping companies define their own Data Value Journey since cofounding Omniata two and a half years ago.



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