FICON CUP and Advanced Diagnostics

 

The FICON Control Unit Port (CUP) provides an in-band management interface defined by IBM that defines the channel command words (CCWs) that the FICON host can use for managing the switch. The protocol used is the IBM version of the ANSI FC-SB4 single-byte command code specification, which defines the protocol used for transporting CCWs to the switch, and for the switch to direct data and status back. FICON CUP is an optional licensed feature for FICON switching devices. Several new advanced diagnostic features have been added to FICON CUP over the past two years.

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big data big opportunity

Big data – big opportunity

You’ve heard people talking about it and finally your organization has decided that there is a business case for going down that route, but what does big data involve? What do you need to know? After all, mainframes have always been able to store large amounts of data, and, importantly, retrieve that information quickly. Isn’t that what IMS databases were designed to do? Firstly, when you start Googling like mad to find out some information, you need to search for big analytics and perhaps even big workflows as well as just big data. But before you do that, let’s run over some basics.

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Four ways Mainframe shops can Embrace Mobile

Part 4: New Online Processing and Data Storage

This is Part 4 of a 5-part series about how mainframe shops can embrace the needs of new mobile workloads.

Last time, we looked at a new online processing solution that would replace the existing online processing, but leverage all other parts of the legacy infrastructure. In this post, we’ll take a close look at a similar solution that also leverages some of what exists, but creates all new online processing as well as new database components.

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turn the lights out

Turn Out The Lights…The Party’s Over! Mainframes Rout Commodity Servers!

Big Lie Revealed: Commodity Servers Not Cheaper Than Mainframe

For decades, CIOs have been sold the Big Lie that running workloads on commodity servers is cheaper than running them on the mainframe.

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New Online Processing

Four ways Mainframe shops can Embrace Mobile

Part 3: New Online Processing

This is Part 3 in this five-part series about how mainframe shops can embrace the needs of new mobile workloads.

Last time, we looked at the forklift option: burning the legacy infrastructure to the ground and building it back up again using different technology.  In this post, we’ll take a close look at an alternative solution that leverages some of what exists, but creates all new online processing components.

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Four ways Mainframe shops can Embrace Mobile

Part 2: Forklifting in a new solution

In this first part of this series, we looked at what typical legacy systems look like, and listed 4 ways that they can be modernized.

In this post, we’ll take a close look at perhaps one of the most common solutions addressing the challenge of new mobile demands on legacy systems adopted by large organizations.  With the exception of “doing nothing,” the most commonly adopted solution is the forklift option—basically burning the legacy infrastructure to the ground and building it back up again using different technology solutions.

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it's about time

It’s about time!

DB2 z/OS V12 is in the Early Support Program mode. This means the larger Independent Software Vendors (BMC, CA, Compuware, etc.) have a version of DB2 z/OS V12 in house so they can modify their products to support and/or exploit the new features of DB2 z/OS V12. This process can take months, or even up to a year.

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Embrace Mobile

Four ways Mainframe shops can Embrace Mobile

In today’s multi-platform, multi-OS and multi-data format corporate computing environments, there is a high demand to make the mainframe systems work with web, mobile devices and, potentially, any device that can be connected to the Internet-of-Things (IoT), in effect, extending the mainframe system to the “modern world.”

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in-memory technology can save you

6 Ways Mainframe In-memory Technology Can Save You

When people hear talk about in-memory technology, they immediately assume the discussion revolves around Big Data and analytics being run on distributed systems, and that the database part of the discussion focuses on things like SAP HANA, TIBCO, VoltDB, or even IBM BLU Acceleration. While these are all great products, and distributed computing is everywhere, they’re mostly irrelevant in a mainframe-centric discussion.

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enterprise cloud

Enterprise Cloud Computing in the New Millennium

A recent study found that 70% of enterprises have either applications or infrastructure running in the cloud today—that’s up 12% from 2012. As well, since 2012 cloud investments by large-scale enterprises with over 1,000 employees have increased by 20%—on average spending over $3M. In 2015, it was estimated that 25% of IT budgets would be allocated to cloud solutions—with the highest percentage being allocated to SaaS models.

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