Welcome!

Linux Containers Authors: Pat Romanski, Plutora Blog, Yeshim Deniz, Elizabeth White, Liz McMillan

Related Topics: @BigDataExpo, Java IoT, Linux Containers, Agile Computing, @CloudExpo, SDN Journal

@BigDataExpo: Blog Feed Post

Scaling Big Data Fabrics

The size of the network might be the least interesting aspect of scaling Big Data fabrics

When people talk about Big Data, the emphasis is usually on the Big. Certainly, Big Data applications are distributed largely because the size of the data on which computations are executed warrants more than a typical application can handle. But scaling the network that provides connectivity between Big Data nodes is not just about creating massive interconnects.

In fact, the size of the network might be the least interesting aspect of scaling Big Data fabrics.

Just how big is Big Data?

Not that long ago, I asked the question: how large is a typical Big Data deployment? I was expecting, as I suspect many people are, that the Big in the title meant that the deployments would be, in a word, big. But the average Big Data deployment is actually far smaller than most people realize. I grabbed a list from HadoopWizard in an article dating back to last year.

What is remarkable about this list is just how unremarkable the sizes of the deployments are. Sure, the list is dated, and deployments have certainly gotten larger. And yes, companies like Yahoo! are pushing scaling limits. But the average deployment if you take Yahoo! out is a mere 113 nodes. Even if every node is multi-homed to two switches, this means the average deployment could be handled by 4 access switches.

Even if every deployment quadrupled, you would still only be talking about 16-access-switch deployments. When our industry talks about scaling, we usually think well beyond 16 switches.

Is scaling an issue?

So if deployments are small, does that mean scaling is a solved issue? The answer is both yes and no. If the end game is building individual networks for each Big Data application, then yes. While the web scale companies will always need more, the vast majority of customers will be well-served by the scaling limits that are around today.

But the issue with Big Data is that it isn’t really just Big Data. When we talk about Big Data, we usually ought to be using a different moniker. For most people, Big Data is less about Hadoop and more about clustered applications (at least so far as the network is concerned). By expanding the definition to clustered applications, you move past Hadoop and into clustered compute and even clustered storage environments. Anything clustered has a dependency on some kind of interconnect.

The challenge in clustered environments

The challenge of all these types of clustered environments is that their requirements vary. For Hadoop, job completion times are dominated by the compute side of things, so the network is really about providing a congestion-free interconnect that is always available. For clustered compute, latency might be more important. And for multi-tenant environments, it might be most important to isolate traffic. Whatever the application, the point is that the requirements are highly contextual.

Which brings us back to scaling.

The real issue in scaling Big Data fabrics is less about making a small interconnect larger. Networks are not going to scale along the lines of single applications (or at least they shouldn’t). The actual scaling challenge is plotting a course from a single Big Data application to an environment that hosts multiple clustered applications, each with different requirements.

This might seem dead simple, but it isn’t. When people deploy Big Data applications today, the Big part leads people to purpose-build architecture with massive data workloads in mind. In many cases, this includes building out separate networks aimed at specific workloads.

But even in the best cases, Hadoop makes use of things like rack awareness, which help provide application resilience while minimizing traffic across the network. Regardless of whether you view this as for the application or for the network, the result is that proximity and locality are built into the infrastructure. This creates interesting considerations (and potentially limitations) when expanding. If you want to grow a cluster, you can’t just use any available server in the datacenter; there are servers that are more preferable than others based solely on their physical location.

Scalability is more than scaling

Making a scalable interconnect for these types of clustered applications is more than just supporting a large (or as I mentioned previously, not so large) number of nodes. The objective for scalability is to provide a graceful path from start to finish. This means architectures need to consider not just what the ending state is but also how to get from here to there.

With Hadoop, this means that things like locality have to be an explicit consideration in architecting the interconnect. Is the right answer a bunch of cross-connects zigzagging across the datacenter? Maybe. Or it might be a different architectural approach to providing interconnect between clustered servers.

Additionally, it isn’t just about one application. Architecting for bandwidth because you have a Hadoop-y application is great, but what if the next clustered application is latency-sensitive? Or if it brings with it a set of auditing and compliance requirements more typical of HIPAA-style applications?

If the architecture doesn’t explicitly consider how to expand beyond a single application, even if it can grow to thousands of switches, it won’t really matter.

The bottom line

The punch line here is that scaling is not only about growing larger. It also means potentially growing more diverse. And if there is one thing that the Hadoop deployment numbers tell me, it’s that people are still experimenting. If you are still experimenting, how can you predict with certainty what the next 5 or 10 years will mean in terms of applications for your business? You can’t. Which means that the most important architectural objective might go well beyond the number of switches in a deployment. Scalability could be about building flexibility into you datacenter. How do you get a bunch of different purpose-built capabilities into a single, general-purpose network? Answering that might be the real key to determining how to scale Big Data fabrics.

[Today’s fun fact: It is against the law to use the Star Spangled Banner as dance music in Massachusetts. There go my party plans!]

The post Scaling Big Data fabrics appeared first on Plexxi.

More Stories By Michael Bushong

The best marketing efforts leverage deep technology understanding with a highly-approachable means of communicating. Plexxi's Vice President of Marketing Michael Bushong has acquired these skills having spent 12 years at Juniper Networks where he led product management, product strategy and product marketing organizations for Juniper's flagship operating system, Junos. Michael spent the last several years at Juniper leading their SDN efforts across both service provider and enterprise markets. Prior to Juniper, Michael spent time at database supplier Sybase, and ASIC design tool companies Synopsis and Magma Design Automation. Michael's undergraduate work at the University of California Berkeley in advanced fluid mechanics and heat transfer lend new meaning to the marketing phrase "This isn't rocket science."

@ThingsExpo Stories
SYS-CON Events announced today that Linux Academy, the foremost online Linux and cloud training platform and community, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Linux Academy was founded on the belief that providing high-quality, in-depth training should be available at an affordable price. Industry leaders in quality training, provided services, and student certification passes, its goal is to c...
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
SYS-CON Events announced today that CA Technologies has been named “Platinum Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY, and the 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. CA Technologies helps customers succeed in a future where every business – from apparel to energy – is being rewritten by software. From ...
SYS-CON Events announced today that Technologic Systems Inc., an embedded systems solutions company, will exhibit at SYS-CON's @ThingsExpo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Technologic Systems is an embedded systems company with headquarters in Fountain Hills, Arizona. They have been in business for 32 years, helping more than 8,000 OEM customers and building over a hundred COTS products that have never been discontinued. Technologic Systems’ pr...
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu’s platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
SYS-CON Events announced today that Loom Systems will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Founded in 2015, Loom Systems delivers an advanced AI solution to predict and prevent problems in the digital business. Loom stands alone in the industry as an AI analysis platform requiring no prior math knowledge from operators, leveraging the existing staff to succeed in the digital era. With offices in S...
SYS-CON Events announced today that HTBase will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. HTBase (Gartner 2016 Cool Vendor) delivers a Composable IT infrastructure solution architected for agility and increased efficiency. It turns compute, storage, and fabric into fluid pools of resources that are easily composed and re-composed to meet each application’s needs. With HTBase, companies can quickly prov...
SYS-CON Events announced today that T-Mobile will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. As America's Un-carrier, T-Mobile US, Inc., is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The Company's advanced nationwide 4G LTE network delivers outstanding wireless experiences to 67.4 million customers who are unwilling to compromise on ...
SYS-CON Events announced today that Cloud Academy will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Cloud Academy is the industry’s most innovative, vendor-neutral cloud technology training platform. Cloud Academy provides continuous learning solutions for individuals and enterprise teams for Amazon Web Services, Microsoft Azure, Google Cloud Platform, and the most popular cloud computing technologies. Ge...
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 20th International Cloud Expo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buyers...
SYS-CON Events announced today that Infranics will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Since 2000, Infranics has developed SysMaster Suite, which is required for the stable and efficient management of ICT infrastructure. The ICT management solution developed and provided by Infranics continues to add intelligence to the ICT infrastructure through the IMC (Infra Management Cycle) based on mathemat...
SYS-CON Events announced today that Interoute, owner-operator of one of Europe's largest networks and a global cloud services platform, has been named “Bronze Sponsor” of SYS-CON's 20th Cloud Expo, which will take place on June 6-8, 2017 at the Javits Center in New York, New York. Interoute is the owner-operator of one of Europe's largest networks and a global cloud services platform which encompasses 12 data centers, 14 virtual data centers and 31 colocation centers, with connections to 195 add...
SYS-CON Events announced today that SD Times | BZ Media has been named “Media Sponsor” of SYS-CON's 20th International Cloud Expo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. BZ Media LLC is a high-tech media company that produces technical conferences and expositions, and publishes a magazine, newsletters and websites in the software development, SharePoint, mobile development and commercial UAV markets.
SYS-CON Events announced today that Cloudistics, an on-premises cloud computing company, has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Cloudistics delivers a complete public cloud experience with composable on-premises infrastructures to medium and large enterprises. Its software-defined technology natively converges network, storage, compute, virtualization, and management into a ...
Now that the world has connected “things,” we need to build these devices as truly intelligent in order to create instantaneous and precise results. This means you have to do as much of the processing at the point of entry as you can: at the edge. The killer use cases for IoT are becoming manifest through AI engines on edge devices. An autonomous car has this dual edge/cloud analytics model, producing precise, real-time results. In his session at @ThingsExpo, John Crupi, Vice President and Eng...
There are 66 million network cameras capturing terabytes of data. How did factories in Japan improve physical security at the facilities and improve employee productivity? Edge Computing reduces possible kilobytes of data collected per second to only a few kilobytes of data transmitted to the public cloud every day. Data is aggregated and analyzed close to sensors so only intelligent results need to be transmitted to the cloud. Non-essential data is recycled to optimize storage.
"I think that everyone recognizes that for IoT to really realize its full potential and value that it is about creating ecosystems and marketplaces and that no single vendor is able to support what is required," explained Esmeralda Swartz, VP, Marketing Enterprise and Cloud at Ericsson, in this SYS-CON.tv interview at @ThingsExpo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Microservices are a very exciting architectural approach that many organizations are looking to as a way to accelerate innovation. Microservices promise to allow teams to move away from monolithic "ball of mud" systems, but the reality is that, in the vast majority of organizations, different projects and technologies will continue to be developed at different speeds. How to handle the dependencies between these disparate systems with different iteration cycles? Consider the "canoncial problem" ...
Why do your mobile transformations need to happen today? Mobile is the strategy that enterprise transformation centers on to drive customer engagement. In his general session at @ThingsExpo, Roger Woods, Director, Mobile Product & Strategy – Adobe Marketing Cloud, covered key IoT and mobile trends that are forcing mobile transformation, key components of a solid mobile strategy and explored how brands are effectively driving mobile change throughout the enterprise.