Click here to close now.

Welcome!

BigDataExpo® Blog Authors: Hovhannes Avoyan, Pat Romanski, Liz McMillan, JP Morgenthal, Elizabeth White

Related Topics: ThingsExpo® Blog, JAVA IoT, Linux Containers, CloudExpo® Blog, BigDataExpo® Blog, DevOpsSummit® Blog

ThingsExpo® Blog: Blog Post

Cloud, Internet of Things and Big Operational Data | @ThingsExpo [#IoT]

The Internet of Things is only going to make that even more challenging as businesses turn to new business models and services

Cloud and Things and Big Operational Data

Software-defined architectures are critical for achieving the right mix of efficiency and scale needed to meet the challenges that will come with the Internet of Things

If you've been living under a rock (or rack in the data center) you might not have noticed the explosive growth of technologies and architectures designed to address emerging challenges with scaling data centers. Whether considering the operational aspects (devops) or technical components (SDN, SDDC, Cloud), software-defined architectures are the future enabler of business, fueled by the increasing demand for applications.

The Internet of Things is only going to make that even more challenging as businesses turn to new business models and services fueled by a converging digital-physical world. Applications, whether focused on licensing, provisioning, managing or storing data for these "things" will increase the already significant burden on IT as a whole. The inability to scale from an operational perspective is really what software-defined architectures are attempting to solve by operationalizing the network to shift the burden of provisioning and management from people to technology.

But it's more than just API-enabling switches, routers, ADCs and other infrastructure components. While this is a necessary capability to ensure the operational scalability of modern data centers, what's really necessary to achieve the next "level" is collaboration.

That means infrastructure integration.

it is one thing to be able to automatically provision the network, compute and storage resources necessary to scale to meet the availability and performance expectations of users and businesses alike. But that's the last step in the process. Actually performing the provisioning is the action that's taken after it's determined not only that it's necessary, but where it's necessary.

Workloads (and I hate that term but it's at least somewhat universally understood so I'll acquiesce to using it for now) have varying characteristics with respect to the compute, network and storage they require to perform optimally. That's means provisioning a "workload" in a VM with characteristics that do not match the requirements is necessarily going to impact its performance or load capability. If one is making assumptions regarding the number of users a given application can support, and it's provisioned with a resource profile that impacts that support, it can lead to degrading performance or availability.

What that means is the systems responsible for provisioning "workloads" must be able to match resource requirements with the workload, as well as understand current (and predicted) demand in terms of users, connections and network consumption rates.

Data, is the key. Measurements of performance, rates of queries, number of users, and the resulting impact on the workload must be captured. But more than that, it must be shared with the systems responsible for provisioning and scaling the workloads.

Location Matters

This is not a new concept, that we should be able to share data across systems and services to ensure the best fit for provisioning and seamless scale demanded of modern architectures. A 2007 SIGMOD paper, "Automated and On-Demand Provisioning of Virtual Machines for Database Applications" as well as a 2010 IEEE paper, "Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center" discuss the need for such provisioning models and the resulting architectures rely heavily on the collaboration of the data center components responsible for measuring, managing and provisioning workloads in cloud computing environments through integration.

The location of a workload, you see, matters. Not location as in "on-premise" or "off-premise", though that certainly has an impact, but the location within the data center matters to the overall performance and scale of the applications composed from those workloads. The location of a specific workload comparative to other components impacts availability and traffic patterns that can result in higher incidents of north-south or east-west congestion in the network. Location of application workloads can cause hairpinning (or tromboning if you prefer) of traffic that may degrade performance or introduce variable latency that degrades the quality of video or audio content.

Location matters a great deal, and yet the very premise of cloud is to abstract topology (location) from the equation and remove it from consideration as part of the provisioning process.

Early in the life of public cloud there was concern over not knowing "who your neighbor tenant" might be on a given physical server, because there was little transparency into the decision making process that governs provisioning of instances in public cloud environments. The depth of such decisions appeared to - and still appear to - be made based on your preference for the "size" of an instance. Obviously, Amazon or Azure or Google is not going to provision a "large" instance where only a "small" will fit.

But the question of where, topologically, that "large" instance might end up residing is still unanswered. It might be two hops away or one virtual hop away. You can't know if your entire application - all its components - have been launched on the same physical server or not. And that can have dire consequences in a model that's "built to fail" because if all your eggs are in one basket and the basket breaks... well, minutes of downtime is still downtime.

The next evolutionary step in cloud (besides the emergence of much needed value added services) is more intelligent provisioning driven by better feedback loops regarding the relationship between the combination of compute, network and storage resources and the application. Big (Operational) Data is going to be as important to IT as Big (Customer) Data is to the business as more and more applications and services become critical to the business.

Read the original blog entry...

More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

@BigDataExpo Stories
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impac...
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. 8th International Big Data Expo, co-located with 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - has announced its Call for Papers is open. As advanced data storage, access and analytics technologies aimed at handling high-volume and/or fast moving data all move center stage, aided by the cloud computing bo...
Move from reactive to proactive cloud management in a heterogeneous cloud infrastructure. In his session at 16th Cloud Expo, Manoj Khabe, Innovative Solution-Focused Transformation Leader at Vicom Computer Services, Inc., will show how to replace a help desk-centric approach with an ITIL-based service model and service-centric CMDB that’s tightly integrated with an event and incident management platform. Learn how to expand the scope of operations management to service management. He will al...
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, ...
You use an agile process; your goal is to make your organization more agile. But what about your data infrastructure? The truth is, today's databases are anything but agile - they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver new features and capabilities needed to make your organization competitive. As your application an...
Amazon and Google have built software-defined data centers (SDDCs) that deliver massively scalable services with great efficiency. Yet, building SDDCs has proven to be a near impossibility for companies without hyper-scale resources. In his session at 15th Cloud Expo, David Cauthron, CTO and Founder of NIMBOXX, highlighted how a mid-sized manufacturer of global industrial equipment bridged the gap from virtualization to software-defined services, streamlining operations and costs while connect...
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series dat...
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will addresses this very serious issue o...
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo, June 9-11, 2015, at the Javits Center in New York City. Learn what is going on, contribute to the discussions, and ensure that your enter...
Amazon, Google and Facebook are household names in part because of their mastery of Big Data. But what about organizations without billions of dollars to spend on Big Data tools - how can they extract value from their data? In his session at 6th Big Data Expo®, Ali Ghodsi, Co-Founder and Head of Engineering at Databricks, discussed how the zero management cost and scalability of the cloud is addressing the challenges and pain points that data engineers face when working with Big Data. He also s...
SYS-CON Events announced today that DragonGlass, an enterprise search platform, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. After eleven years of designing and building custom applications, OpenCrowd has launched DragonGlass, a cloud-based platform that enables the development of search-based applications. These are a new breed of applications that utilize a search index as their backbone for data...
While there are hundreds of public and private cloud hosting providers to choose from, not all clouds are created equal. If you’re seeking to host enterprise-level mission-critical applications, where Cloud Security is a primary concern, WHOA.com is setting new standards for cloud hosting, and has established itself as a major contender in the marketplace. We are constantly seeking ways to innovate and leverage state-of-the-art technologies. In his session at 16th Cloud Expo, Mike Rivera, Seni...
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and asse...
The Internet of Things is a misnomer. That implies that everything is on the Internet, and that simply should not be - especially for things that are blurring the line between medical devices that stimulate like a pacemaker and quantified self-sensors like a pedometer or pulse tracker. The mesh of things that we manage must be segmented into zones of trust for sensing data, transmitting data, receiving command and control administrative changes, and peer-to-peer mesh messaging. In his session a...
SYS-CON Events announced today that EnterpriseDB (EDB), the leading worldwide provider of enterprise-class Postgres products and database compatibility solutions, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. EDB is the largest provider of Postgres software and services that provides enterprise-class performance and scalability and the open source freedom to divert budget from more costly traditiona...
In their general session at 16th Cloud Expo, Michael Piccininni, Global Account Manager – Cloud SP at EMC Corporation, and Mike Dietze, Regional Director at Windstream Hosted Solutions, will review next generation cloud services, including the Windstream-EMC Tier Storage solutions, and discuss how to increase efficiencies, improve service delivery and enhance corporate cloud solution development. Speaker Bios Michael Piccininni is Global Account Manager – Cloud SP at EMC Corporation. He has b...
SYS-CON Events announced today that MetraTech, now part of Ericsson, has been named “Silver Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. Ericsson is the driving force behind the Networked Society- a world leader in communications infrastructure, software and services. Some 40% of the world’s mobile traffic runs through networks Ericsson has supplied, serving more than 2.5 billion subscribers.
Discussions about cloud computing are evolving into discussions about enterprise IT in general. As enterprises increasingly migrate toward their own unique clouds, new issues such as the use of containers and microservices emerge to keep things interesting. In this Power Panel at 16th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists will address the state of cloud computing today, and what enterprise IT professionals need to know about how the latest topics and trends affec...
The Internet of Things promises to transform businesses (and lives), but navigating the business and technical path to success can be difficult to understand. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, demonstrated how to approach creating broadly successful connected customer solutions using real world business transformation studies including New England BioLabs and more.
The OpenStack cloud operating system includes Trove, a database abstraction layer. Rather than applications connecting directly to a specific type of database, they connect to Trove, which in turn connects to one or more specific databases. One target database is Postgres Plus Cloud Database, which includes its own RESTful API. Trove was originally developed around MySQL, whose interfaces are significantly less complicated than those of the Postgres cloud database. In his session at 16th Cloud...