Click here to close now.


Containers Expo Blog Authors: Pat Romanski, AppDynamics Blog, Peter Silva, Marc Crespi, Jayaram Krishnaswamy

Related Topics: Containers Expo Blog, Java IoT, Microservices Expo, @CloudExpo, @BigDataExpo, SDN Journal

Containers Expo Blog: Article

The Big Data Bottleneck: Uploading to the Cloud

If only we could get those gigando-bytes into the Cloud in the first place. And there’s the rub.

The problem with Big Data is that, well, Big Data are big. Really big. We’re talking terabytes. Petabytes. Zettabytes. Whatever’s-even-bigger-bytes. And of course, we want to solve all our Big Data challenges in the Cloud. If only we could get those gigando-bytes into the Cloud in the first place. And there’s the rub.

Uploading Big Data from our internal network to the Cloud via an Internet connection is as practical as filling a swimming pool through a drinking straw. It doesn’t matter how sophisticated our Big Data analytics, how super-duper our Hadoopers. If we can’t efficiently get our data where we need them when we need them, we’re stuck.

Optimize the Pipe
Fortunately, the Big Data upload problem isn’t new. In fact, it’s been around for years, under the moniker Wide Area Network (WAN) Optimization. Fortunate for us because vendors have been working on WAN Optimization techniques for a while now, and now several of them are repurposing those techniques to help with the Cloud.

For example, Aryaka has been peddling WAN Optimization appliances for several years. Put one appliance in your local data center, a second in the remote data center, and proprietary technology moves data from one to the other at a rapid clip. Now that the Cloud has turned their world upside down, they are providing a distributed service at the remote end, a “mesh of network connections” better suited to the Cloud. In other words, Aryaka is building an offering similar to Content Delivery Networks (CDNs) like Akamai.

RainStor, in contrast, focuses primarily on a proprietary compression algorithm that promises to squeeze data into one fortieth their original size. Furthermore, RainStor’s compressed data remain directly accessible using standard SQL or even MapReduce on Hadoop with no storage-eating, time-consuming reinflation.

Then there’s Aspera, who’s found a sophisticated way around the limitations of the Transmission Control Protocol (TCP) itself. After all, TCP’s tiny packets and penchant for resending them are a large part of the reason uploading Big Data over the Internet runs like such a dog in the first place. To teach this dog a new trick or two, Aspera transfers use one TCP port for session initialization and control, and one User Datagram Protocol (UDP) port for data transfer.

UDP is an older, fire-and-forget protocol that doesn’t perform the retries that provide TCP’s reliability, but by combining the two protocols, FASP achieves nearly 100% error-free data throughput. In fact, FASP reaches the maximum transfer speed possible given the hardware on which you deploy it, and maintains maximum available throughput independent of network delay and packet loss. FASP also aggregates hundreds of concurrent transfers on commodity hardware, addressing the drinking straw problem in part by supporting hundreds of straws at once.

CloudOpt is also a player worth mentioning. Their JetStream technology takes a soup-to-nuts approach that combines compression and transmission protocol optimization with advanced data deduplication, SSL acceleration, and an ingenious approach to getting the most performance out of cached data. Or Attunity Cloudbeam, that touts file to Cloud upload, file to Cloud replication, and Cloud to Cloud replication. Attunity’s Managed File Transfer (MFT) incorporates a secure DMZ architecture, security policy enforcement, guaranteed and accelerated transfers, process automation, and audit capabilities across each stage of the file transfer process.

Finally, there’s Amazon Web Services (AWS) itself. Yes, most if not all of the vendors discussed above can firehose data into AWS’s various storage services. But AWS also offers a simple, if decidedly low-tech approach as well: AWS Import/Export. Simply ship your big hard drives to Amazon. They’ll hook them up, copy the data to your Simple Storage Service (S3) or other storage service, and ship the drive back when you’re done. This SneakerNet or “Forklifting” approach, believe it or not, can even be faster than some of the over-the-Internet optimizations for certain Big Data sets, even considering the time it takes to FedEx AWS your drives.

On Beyond Drinking Straws
The problem with most of the approaches above (excepting only Aspera and Amazon’s forklift) is that they make the drinking straw we’re using to fill that swimming pool better, faster, and bigger – but we’re still filling that damn pool with a straw. So what’s better than a straw? How about many straws? If any optimization technique improves a single connection to the Internet, then it stands to reason that establishing many connections to your Cloud provider in parallel would multiply your upload speed dramatically.

Fair enough, but let’s think out of the box here. A fundamental Big Data best practice is to bring your analytics to your data. The reasoning is that it’s hard to move your data but easy to move your software, so once your data are in the Cloud, you should also run your analytics there.

But this argument also works in reverse. If your data aren’t in the Cloud, then it may not make sense to move them to the Cloud simply to run your software there. Instead, bring your software to your data, even if they’re on premise.

Perish the thought, you say! We’re sold on Big Data in the Cloud. We’ve crunched the numbers and we know it’s going to save us money, provide more capabilities, and facilitate sharing information across our organization and the world. Fair enough. Here’s another twist for you.

Why are your Big Data sets outside the Cloud to begin with? Sure, you’re stuck with existing, legacy data sets wherever they happen to be today. But as a rule, those don’t constitute Big Data, or will cease to qualify as being large enough to warrant the Big Data label relatively soon. By definition, Big Data sets keep expanding exponentially, which means that you keep creating them with generations of newfangled tools.

In fact, there are already multitudinous sources for raw Big Data, as varied as the Big Data challenges organizations struggle with today. But many such sources are already in the Cloud, or could be moved to the Cloud simply. For example, clickthrough data from your Web sites. Such data come from your Web servers, which should be in the Cloud anyway. If your Big Data come from Web Servers scattered here and there in the Cloud, then moving the clickthrough data to a Big Data repository for processing can be handled in the same Cloud. No need for uploading.

What about data sources that aren’t already in the Cloud? Many Big Data streams come from instrumentation or sensors of some sort, from seismographs underground to EKGs in hospitals to UPC scanners in supermarkets. There’s no reason why such instrumentation shouldn’t pour their raw data feeds directly to the Cloud. What good is storing a week’s worth of supermarket purchasing data on premise anyway? You’ll want to store, process, manage, and analyze those data in the Cloud, so the sooner you get it there, the better.

The ZapThink Take
The only reason we have to worry about uploading Big Data to the Cloud in the first place is because our Big Data aren’t already in the Cloud. And broadly speaking, the reason they’re not already in the Cloud is because the Cloud isn’t everywhere. Instead, we think of the Cloud as being locked away in data centers, those alien, air conditioned facilities packed full of racks of high tech equipment.

That may be true today, but as ZapThink has discussed before, there’s nothing in the definition of Cloud Computing that requires Cloud resources to live in data centers. You might have a bit of the Cloud in your pocket, or on your laptop, in your car, or in your refrigerator. For now, this vision of the Internet of Things meeting the Cloud is mostly the stuff of science fiction. We’re only now figuring out what it means to have a ubiquitous global network of sensors, from the aforementioned EKGs and UPC scanners to traffic cameras to home thermostats. But the writing is on the wall. Just as we now don’t think twice about carrying supercomputers in our pockets, it’s only a matter of time until the Cloud itself is fully distributed and ubiquitous. When that happens, the question of moving Big Data to the Cloud will be moot. They will already be there.

Are you one of the vendors mentioned in this article and have a correction, or a vendor who should have been mentioned but wasn’t? Please feel free to comment here.

Image Source: US Navy

More Stories By Jason Bloomberg

Jason Bloomberg is the leading expert on architecting agility for the enterprise. As president of Intellyx, Mr. Bloomberg brings his years of thought leadership in the areas of Cloud Computing, Enterprise Architecture, and Service-Oriented Architecture to a global clientele of business executives, architects, software vendors, and Cloud service providers looking to achieve technology-enabled business agility across their organizations and for their customers. His latest book, The Agile Architecture Revolution (John Wiley & Sons, 2013), sets the stage for Mr. Bloomberg’s groundbreaking Agile Architecture vision.

Mr. Bloomberg is perhaps best known for his twelve years at ZapThink, where he created and delivered the Licensed ZapThink Architect (LZA) SOA course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, the leading SOA advisory and analysis firm, which was acquired by Dovel Technologies in 2011. He now runs the successor to the LZA program, the Bloomberg Agile Architecture Course, around the world.

Mr. Bloomberg is a frequent conference speaker and prolific writer. He has published over 500 articles, spoken at over 300 conferences, Webinars, and other events, and has been quoted in the press over 1,400 times as the leading expert on agile approaches to architecture in the enterprise.

Mr. Bloomberg’s previous book, Service Orient or Be Doomed! How Service Orientation Will Change Your Business (John Wiley & Sons, 2006, coauthored with Ron Schmelzer), is recognized as the leading business book on Service Orientation. He also co-authored the books XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996).

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting).

@ThingsExpo Stories
In his session at @ThingsExpo, Tony Shan, Chief Architect at CTS, will explore the synergy of Big Data and IoT. First he will take a closer look at the Internet of Things and Big Data individually, in terms of what, which, why, where, when, who, how and how much. Then he will explore the relationship between IoT and Big Data. Specifically, he will drill down to how the 4Vs aspects intersect with IoT: Volume, Variety, Velocity and Value. In turn, Tony will analyze how the key components of IoT influence Big Data: Device, Connectivity, Context, and Intelligence. He will dive deep to the matrix...
When it comes to IoT in the enterprise, namely the commercial building and hospitality markets, a benefit not getting the attention it deserves is energy efficiency, and IoT’s direct impact on a cleaner, greener environment when installed in smart buildings. Until now clean technology was offered piecemeal and led with point solutions that require significant systems integration to orchestrate and deploy. There didn't exist a 'top down' approach that can manage and monitor the way a Smart Building actually breathes - immediately flagging overheating in a closet or over cooling in unoccupied ho...
Scott Guthrie's keynote presentation "Journey to the intelligent cloud" is a must view video. This is from AzureCon 2015, September 29, 2015 I have reproduced some screen shots in case you are unable to view this long video for one reason or another. One of the highlights is 3 datacenters coming on line in India.
“The Internet of Things transforms the way organizations leverage machine data and gain insights from it,” noted Splunk’s CTO Snehal Antani, as Splunk announced accelerated momentum in Industrial Data and the IoT. The trend is driven by Splunk’s continued investment in its products and partner ecosystem as well as the creativity of customers and the flexibility to deploy Splunk IoT solutions as software, cloud services or in a hybrid environment. Customers are using Splunk® solutions to collect and correlate data from control systems, sensors, mobile devices and IT systems for a variety of Ind...
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
Clearly the way forward is to move to cloud be it bare metal, VMs or containers. One aspect of the current public clouds that is slowing this cloud migration is cloud lock-in. Every cloud vendor is trying to make it very difficult to move out once a customer has chosen their cloud. In his session at 17th Cloud Expo, Naveen Nimmu, CEO of Clouber, Inc., will advocate that making the inter-cloud migration as simple as changing airlines would help the entire industry to quickly adopt the cloud without worrying about any lock-in fears. In fact by having standard APIs for IaaS would help PaaS expl...
Organizations already struggle with the simple collection of data resulting from the proliferation of IoT, lacking the right infrastructure to manage it. They can't only rely on the cloud to collect and utilize this data because many applications still require dedicated infrastructure for security, redundancy, performance, etc. In his session at 17th Cloud Expo, Emil Sayegh, CEO of Codero Hosting, will discuss how in order to resolve the inherent issues, companies need to combine dedicated and cloud solutions through hybrid hosting – a sustainable solution for the data required to manage I...
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Bradley Holt, Developer Advocate at IBM Cloud Data Services, will demonstrate techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user experience, both offline and online. The focus of this talk will be on IBM Cloudant, Apa...
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
As more and more data is generated from a variety of connected devices, the need to get insights from this data and predict future behavior and trends is increasingly essential for businesses. Real-time stream processing is needed in a variety of different industries such as Manufacturing, Oil and Gas, Automobile, Finance, Online Retail, Smart Grids, and Healthcare. Azure Stream Analytics is a fully managed distributed stream computation service that provides low latency, scalable processing of streaming data in the cloud with an enterprise grade SLA. It features built-in integration with Azur...
SYS-CON Events announced today that HPM Networks will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. For 20 years, HPM Networks has been integrating technology solutions that solve complex business challenges. HPM Networks has designed solutions for both SMB and enterprise customers throughout the San Francisco Bay Area.
The enterprise is being consumerized, and the consumer is being enterprised. Moore's Law does not matter anymore, the future belongs to business virtualization powered by invisible service architecture, powered by hyperscale and hyperconvergence, and facilitated by vertical streaming and horizontal scaling and consolidation. Both buyers and sellers want instant results, and from paperwork to paperless to mindless is the ultimate goal for any seamless transaction. The sweetest sweet spot in innovation is automation. The most painful pain point for any business is the mismatch between supplies a...
The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process. In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
As enterprises capture more and more data of all types – structured, semi-structured, and unstructured – data discovery requirements for business intelligence (BI), Big Data, and predictive analytics initiatives grow more complex. A company’s ability to become data-driven and compete on analytics depends on the speed with which it can provision their analytics applications with all relevant information. The task of finding data has traditionally resided with IT, but now organizations increasingly turn towards data source discovery tools to find the right data, in context, for business users, d...
SYS-CON Events announced today that MobiDev, a software development company, will exhibit at the 17th International Cloud Expo®, which will take place November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. MobiDev is a software development company with representative offices in Atlanta (US), Sheffield (UK) and Würzburg (Germany); and development centers in Ukraine. Since 2009 it has grown from a small group of passionate engineers and business managers to a full-scale mobile software company with over 150 developers, designers, quality assurance engineers, project manage...
Learn how IoT, cloud, social networks and last but not least, humans, can be integrated into a seamless integration of cooperative organisms both cybernetic and biological. This has been enabled by recent advances in IoT device capabilities, messaging frameworks, presence and collaboration services, where devices can share information and make independent and human assisted decisions based upon social status from other entities. In his session at @ThingsExpo, Michael Heydt, founder of Seamless Thingies, will discuss and demonstrate how devices and humans can be integrated from a simple clust...
SYS-CON Events announced today that Cloud Raxak has been named “Media & Session Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Raxak Protect automates security compliance across private and public clouds. Using the SaaS tool or managed service, developers can deploy cloud apps quickly, cost-effectively, and without error.
Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it. In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, will discuss the impact of technology on identity. Should we federate, or not? How should identity be secured? Who owns the identity? How is identity ...