Welcome!

Agile Computing Authors: Liz McMillan, Elizabeth White, Progress Blog, John Worthington, APM Blog

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

@DXWorldExpo: 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
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to it...
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
"Space Monkey by Vivent Smart Home is a product that is a distributed cloud-based edge storage network. Vivent Smart Home, our parent company, is a smart home provider that places a lot of hard drives across homes in North America," explained JT Olds, Director of Engineering, and Brandon Crowfeather, Product Manager, at Vivint Smart Home, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, 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 buye...
"There's plenty of bandwidth out there but it's never in the right place. So what Cedexis does is uses data to work out the best pathways to get data from the origin to the person who wants to get it," explained Simon Jones, Evangelist and Head of Marketing at Cedexis, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
SYS-CON Events announced today that Evatronix will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics gr...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things’). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing? IoT is not about the devices, it’s about the data consumed and generated. The devices are tools, mechanisms, conduits. In his session at Internet of Things at Cloud Expo | DXWor...
Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution. In his session at @ThingsExpo, Akvelon expert and IoT industry leader Sergey Grebnov provided an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone inn...