Linux Containers Authors: Pat Romanski, Liz McMillan, Yeshim Deniz, Kareen Kircher, Carmen Gonzalez

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
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, will discuss the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Big Data has been changing the world. IoT fuels the further transformation recently. How are Big Data and IoT related? In his session at @BigDataExpo, Tony Shan, a renowned visionary and thought leader, will explore the interplay of Big Data and IoT. He will anatomize Big Data and IoT separately in terms of what, which, why, where, when, who, how and how much. He will then analyze the relationship between IoT and Big Data, specifically the drilldown of how the 4Vs of Big Data (Volume, Variety,...
From wearable activity trackers to fantasy e-sports, data and technology are transforming the way athletes train for the game and fans engage with their teams. In his session at @ThingsExpo, will present key data findings from leading sports organizations San Francisco 49ers, Orlando Magic NBA team. By utilizing data analytics these sports orgs have recognized new revenue streams, doubled its fan base and streamlined costs at its stadiums. John Paul is the CEO and Founder of VenueNext. Prior ...
SYS-CON Events announced today that Embotics, the cloud automation company, will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Embotics is the cloud automation company for IT organizations and service providers that need to improve provisioning or enable self-service capabilities. With a relentless focus on delivering a premier user experience and unmatched customer support, Embotics is the fas...
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, will discuss how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team a...
The Open Connectivity Foundation (OCF), sponsor of the IoTivity open source project, and AllSeen Alliance, which provides the AllJoyn® open source IoT framework, today announced that the two organizations’ boards have approved a merger under the OCF name and bylaws. This merger will advance interoperability between connected devices from both groups, enabling the full operating potential of IoT and representing a significant step towards a connected ecosystem.
The Internet of Things can drive efficiency for airlines and airports. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Sudip Majumder, senior director of development at Oracle, will discuss the technical details of the connected airline baggage and related social media solutions. These IoT applications will enhance travelers' journey experience and drive efficiency for the airlines and the airports. The session will include a working demo and a technical d...
What happens when the different parts of a vehicle become smarter than the vehicle itself? As we move toward the era of smart everything, hundreds of entities in a vehicle that communicate with each other, the vehicle and external systems create a need for identity orchestration so that all entities work as a conglomerate. Much like an orchestra without a conductor, without the ability to secure, control, and connect the link between a vehicle’s head unit, devices, and systems and to manage the ...
What are the successful IoT innovations from emerging markets? What are the unique challenges and opportunities from these markets? How did the constraints in connectivity among others lead to groundbreaking insights? In her session at @ThingsExpo, Carmen Feliciano, a Principal at AMDG, will answer all these questions and share how you can apply IoT best practices and frameworks from the emerging markets to your own business.
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smar...
In past @ThingsExpo presentations, Joseph di Paolantonio has explored how various Internet of Things (IoT) and data management and analytics (DMA) solution spaces will come together as sensor analytics ecosystems. This year, in his session at @ThingsExpo, Joseph di Paolantonio from DataArchon, will be adding the numerous Transportation areas, from autonomous vehicles to “Uber for containers.” While IoT data in any one area of Transportation will have a huge impact in that area, combining sensor...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to impr...
Successful digital transformation requires new organizational competencies and capabilities. Research tells us that the biggest impediment to successful transformation is human; consequently, the biggest enabler is a properly skilled and empowered workforce. In the digital age, new individual and collective competencies are required. In his session at 19th Cloud Expo, Bob Newhouse, CEO and founder of Agilitiv, will draw together recent research and lessons learned from emerging and established ...
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
Amazon has gradually rolled out parts of its IoT offerings, but these are just the tip of the iceberg. In addition to optimizing their backend AWS offerings, Amazon is laying the ground work to be a major force in IoT - especially in the connected home and office. In his session at @ThingsExpo, Chris Kocher, founder and managing director of Grey Heron, explained how Amazon is extending its reach to become a major force in IoT by building on its dominant cloud IoT platform, its Dash Button strat...
@ThingsExpo has been named the Top 5 Most Influential M2M Brand by Onalytica in the ‘Machine to Machine: Top 100 Influencers and Brands.' Onalytica analyzed the online debate on M2M by looking at over 85,000 tweets to provide the most influential individuals and brands that drive the discussion. According to Onalytica the "analysis showed a very engaged community with a lot of interactive tweets. The M2M discussion seems to be more fragmented and driven by some of the major brands present in the...
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will w...
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
SYS-CON Media announced today that @WebRTCSummit Blog, the largest WebRTC resource in the world, has been launched. @WebRTCSummit Blog offers top articles, news stories, and blog posts from the world's well-known experts and guarantees better exposure for its authors than any other publication. @WebRTCSummit Blog can be bookmarked ▸ Here @WebRTCSummit conference site can be bookmarked ▸ Here