Traditional to Big Data to IoT: Transaction Processing Performance Council Establishes Internet of Things Working Group (TPC-IoT)
Over the past quarter century, the Transaction Processing Performance Council (TPC) has developed several industry standard benchmarks for database performance, pretty much in line with major technology trends. The two most influential benchmark standards have been TPC-C (standard for benchmarking transaction processing systems) introduced in 1991, and TPC-D and its successor TPC-H (standards for benchmarking decision support systems) introduced in 1994. These standards have been significant driving force behind the development and advancement of several database, server and storage related technologies. In addition, the TPC laid a solid foundation for complete system-level performance, and methodology for calculating total-system-price and price-performance, that have been widely adapted in the industry.
There is no doubt that industry and technology landscapes have changed and are still continue to change at a fast pace. Two of the technologies that will change the world in next 10 years are Big Data and Internet of things (IoT).
Big Data: Big Data is a popular term now that describes the exponential growth of data, often defined by the 5Vs, and the associated technologies to storage and process effectively and drive business values. The Big Data technology and services market represents one of the fast-growing, multi-billion dollar, worldwide market that is expected to grow to a $60 billion market driving $300 billion worldwide IT spending directly or indirectly by 2020.
Foreseeing the importance, in 2014 the TPC has developed TPC Express Benchmark HS (TPCx-HS) to provide the industry with verifiable performance, price-performance, and availability metrics of hardware and software systems dealing with Big Data. This standard can be used to assess a broad range of system topologies and implementation of Hadoop systems in a technically rigorous and directly comparable, and vendor-neutral manner. This is the first major step while the TPC continues to enhance and develop new standards in this area such as TPC-DS with support for Hadoop and TPC-Big Bench.
Internet of Things (IoT): IoT has emerged in the last few of years, poised to transform virtually every major market segments, which contains a complex mix of technologies and products, from data collection and data curation to complex analytics exploiting the data generated by exploding number of connected devices. According to IDC the global IoT market will grow from $665 billion in 2014 to $1.7 trillion in 2020. To put that in perspective, it’s an absolutely enormous figure; only 16 economies in the world had gross domestic products exceeding $1 trillion in 2014.
As the IoT ecosystem evolves in the enterprises, it is eminent to have a set of standards that enable effective comparison of hardware and software systems and topologies in a technology and vendor-neutral manner. Continuing its commitment to bring relevant standards to the industry, today the TPC announced the formation TPC-IoT benchmark committee tasked with developing industry standard benchmarks for benchmarking hardware and software platforms associated with IoT.
We’d like to connect with companies, research and government institutions, to ensure holistic perspective during the benchmark development process. Anyone interested in our efforts can visit our membership page.
Tags: Big Data, internet of things, IoT
Though the high seas action of a competitive regatta and the halls of your office may not seem similar, those two worlds suddenly become alike when leaders in both environments use real-time data to steer critical decisions when seconds count for optimum outcomes.
As businesses race to innovate their environments and outpace industry competition, the sheer number of devices comprising the Internet of Things (IoT) – estimated to number 50 billion by 2020 – promises new levels of connectivity and an influx of critical data. This data and the resulting analytics continuously connect an expanding number of people, processes, data and things – the Internet of Everything (IoE).
Cisco recently took IoE to the decks of the Foxy Lady 6 – a fierce competitor in the Asia Yachting Grand Prix, which takes place over the span of six months. In a timeframe of two weeks, a series of IoT sensors, routers and wireless set-ups, and IoE advancements were installed to help the boat’s skipper and crew guide their race strategy and differentiate the Foxy Lady 6 as the competitor to watch.
In the past, data about various race conditions were pulled from a variety of sources. Predictably, this hodgepodge of information sources resulted in time-consuming efforts to sort, filter and organize the data that truly mattered. Now, an entire network Read More »
Tags: #internetofeverything, Cisco, connected analytics, Internet of Everything, internet of things, IoE, IoT
For years, industrial control systems have been characterized by proprietary devices, protocols, communications, and applications. However, at the Hannover Fair last spring, virtually every exhibitor showed products that support IP, Ethernet, or Wi-Fi interfaces—something that would have been unthinkable just a decade ago.
The Internet of Everything (IoE) is driving this change, with an exponentially growing number of connections among people, process, data, and things. The Internet of Things (IoT) is a key enabler of this evolution. By 2020, according to Cisco’s analysis, there will be 50 billion connected devices—all needing a common way to work together.
As I discussed in my last blog, the worlds of Information technology (IT) and operational technology (OT) are converging—and they are converging around standards. The good news is that the industry is recognizing that a fragmented, proprietary model does not scale, and inhibits the value of IoT deployments. The IoT standardization efforts are focused on four different areas: Read More »
Tags: Cisco, ethernet, IIC, Internet of Everything, internet of things, IoE, IoT, iot world forum, IT-OT convergence, Maciej Kranz, ODVA, OIC, open standards, operational technology, thought leadership
Bringing Alien Worlds Together in the Internet of Things
In the 1990s, I, like millions of others, read the book Women Are from Venus, Men Are from Mars. This best-seller suggested that the frequent misunderstandings between genders make it seem as though men and women are from different, alien worlds. But it’s not just men and women who appear to be from different planets. Today, every organization that has begun an Internet of Things (IoT) deployment is bumping up against a fundamental disconnect between information technology (IT) and operational technology (OT). In many cases, these two groups are alien to one another—with separate technology stacks, network architectures, protocols, standards, governance models, and organizations.
In the first wave of the Internet, data and technology systems fell solidly in the realm of IT. IT systems focused on the flow of data across an organization, and with a few exceptions, did not get involved in production and logistics environments.
However, in many companies, a parallel organization—commonly called operational technology —has grown up to monitor and control devices and processes that act in real time on physical operational systems, such as assembly lines, electricity distribution networks, oil production facilities, and a host of others. Read More »
Tags: Cisco, ethernet, Internet of Everything, internet of things, IoE, IoT, IT-OT convergence, Maciej Kranz, open standards, operational technology, Rockwell, thought leadership
As an omnichannel retailer, you are probably offering your products to shoppers both online and in brick-and-mortar stores. And, like most retailers, you are no doubt collecting online data and running detailed website analytics that help you track preferred products, pricing, shopper behavior, ratings, and so on.
But are you able to gather these same detailed metrics in your physical store, telling you why shoppers choose your store over your competitor’s? How to create a better experience on the floor? Or optimize staffing? Most importantly, are they helping you increase sales?
Until now, the answer to these questions has been “No,” simply because the technologies to gather such metrics weren’t available. It hasn’t been until now, the era of the Internet of Everything, when edge computing is available to gather and analyze the data that gives you a 360-degree view of your store.
Studies show that in-store analytics is a key area of innovation, which may allow retailers to gain up to 11 percent in value. Today’s in-store analytics tools should be able to do three things:
- Integrate data from multiple services
- Automate data collection processes
- Analyze data to identify actionable insights
With these capabilities available, you can use the power of your investments in mobile technology, social media, and in-store applications to collect – and understand – more and more customer information.
Join us for an hour on Tuesday, July 14 at 10:00 am PT/1:00 pm ET for a webcast on “How to Make Your Data Meaningful: New Strategies for Improving In-Store Shopping Experiences and Retail Operations.” This free one-hour session will discuss:
- Which in-store metrics generate real-time recommendations to boost operational efficiency
- How analytics can help you offer hyper-relevant shopper experiences and forge enduring customer relationships
- Use cases that demonstrate the outcomes of connecting data to decision making
Register Today. We’ll see you there!
Tags: analytics, BigData, Cisco, data, Dianne Lamendola, Internet of Everything, internet of things, operations, retail, shopper, shopping