Welcome!

PHP Authors: Liz McMillan, Carmen Gonzalez, Hovhannes Avoyan, Lori MacVittie, Trevor Parsons

Blog Feed Post

Achieveing Large Scale In-Memory Computing in the Federal Sector

By

The term “In-Memory Computing” is in growing use among federal technologists. The term refers to the ability to store and process data directly in the main Random Access Memory (RAM) of a computer vice storing the data off into slow devices like hard disks. By using in-memory techniques, incredibly large quantities of data can be understood by a computer all at once and processed quickly, enabling three major benefits:

  1. Legacy systems can scale their performance up almost instantly by a relatively minor architecture change, enabling even older capabilities to serve many more users than they were first designed for.
  2. It is now possible to rapidly compare new data to all existing data holdings and generate actionable results that can have immediate impact on ongoing missions. This has important benefits to a wide variety of missions that involve a need to take action based on new information, including missions like emergency response, law enforcement, military, intelligence and space exploration.
  3. New systems leveraging in-memory computing can be designed with much smarter data replication, backup and security features and can do so for relatively low cost since backup and recovery options are much smarter.

The most widely used in-memory capability is the open source Java distributed cache called Ehcache, and most all new enterprise solutions in the federal sector are probably either already leveraging Ehcache to some extent or are ready to. Ehcache is used by Java developers all over the world to provide features such as a powerful in-memory data management platform, scalable in-process memory storage, smart data synchronizations across application clusters, and elegant cache management, all within a very simple and ubiquitous API. It is pure open source available under the Apache open source license. If the open-source features are not enough for your requirements, the Enterprise EhCache offering, an in-memory data management platform offered by Software AG – the parent company of developer Terracotta,provides enterprise support CIOs like to see, as well as advanced capabilities such as TB-size storage all in memory, high availability, SQL querying, data center replications, and more.

Federal Computer Week’s Frank Konkel just did a great write-up of SoftwareAG’s Enterprise Ehcache in a piece titled “Feds tiptoe toward in-memory computing.”

In it he cites Software AG Government Solutions VP Bill Lochten discussing a use case for an agency’s 500 Gigabyte in-memory data store. This system is now receiving more than 100 Gigabytes, about 1 million new records, per day, and is handling them all in memory. They do it in a way designed to let analysts and agents in the field access the data immediately. From Frank’s reporting:

“What we’re opening up for this customer is the ability for them to have a tremendous amount of information at their disposal, in-memory, and that means real-time,” said Bill Lochten, vice president of Software AG Government Solutions.

“We’re able to improve performance in that we can provide information back to agents in the field in the moment,” Lochten said. “You can think of an agent literally having to verify the status of an individual or pieces of information about a potential criminal matter – we provide a 360-degree view of the situation in microseconds rather than minutes.”

The system can handle requests to its central repository from thousands of users at once. If a request for information isn’t available in the in-memory system, the IMC database pulls the data from main storage for further processing or access, said Fabien Sanglier, solution architect for Software AG Government Solutions.

Our recommendations:

  1. If you have systems in use that were designed more than 5 years ago, have your engineers consider a quick upgrade to in-memory Enterprise Ehcache to enable fast, economical modernization to enable your app to keep scaling to new demands.
  2. If you have missions that require fast access to new information or need rapid correlation between new data and existing stores, architect it for speed at the beginning. Big Data in memory is probably the way to go.

 

 

 

 

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

IoT & Smart Cities Stories
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed 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 at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
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, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...