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SHARE 2014, Pittsburgh IBM Mobile Pricing

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  • 1. Insert Custom Session QR if Desired. z/OS Connect and IBM Mobile Workload Pricing Ian J Mitchell, IBM Distinguished Engineer, System Z Middleware CTO Session 16278 Wednesday 6th August 2014

2. Insert Custom Session QR if Desired. 3. End-to-End Architecture for Mobile and Cloud Application invoking z Services using APIs Web Services or REST based services On-Premise API Enablement Cloud APIs Mobile Applications Cloud-based Services Enterprise Transaction Processing CICS IMS WAS DataPower GW appliance DMZ Access to systems of records and enterprise data via APIs Enterprise APIs Management Enterprise API s Cloud - Integration Services Cloud Mobile App Enablement Service Enablement: Enables invocation of z applications by remote applications using standard protocols (WSDL, REST) API Enablement: Consumability by internal and external developers (creation and look up) Entitlement Management (securing, workload enforcement) Usage monitoring & Analytics Cloud Integration Enablement: Enabling integration with APIs as well as technical services Mobile Application Development Invokes services and APIs 4. WebSphere Liberty Profile Whats New ? Extend existing enterprise data and business logic to Web, Mobile or Cloud apps Use WebSphere Liberty z/OS Connect for secure enterprise connectivity to easily extend existing assets to Mobile and Cloud applications using RESTful services and JSON. Leverage Websphere Liberty Java Connector Architecture (JCA) feature to connect in to and extend existing enterprise backend systems IBM WebSphere Liberty Optimized Adapters for z/OS (WOLA): a function of WAS Liberty for z/OS that allows very fast, efficient, and low-latency memory to memory exchanges between WAS z/OS and CICS, IMS & Batch. Administer production apps with the WebSphere Liberty Administrative Center Flexible, extensible, mobile ready, next generation admin UI to manage Liberty Servers WebSphere Liberty Repository to pick up new Liberty product features, samples, and tutorials: Easily extend your development and production environments with new features Different options for using WebSphere Liberty in the Cloud Build applications using the Liberty Buildpack and Caching services on IBM BlueMix Deploy WAS Liberty patterns using Pure Application Pattern service on SoftLayer Bring your own existing entitlement of WAS to SoftLayer or Amazon cloud environments 8 5. Problem Statement (s) Customers on the z/OS platform today are increasingly expressing concerns about their ability to handle large spikes of new requests originating from any number of almost instantly available clients and systems that have a need for the business assets available there. The fast advancing worlds of mobile and cloud computing are putting more and more pressure on applications and business logic located on z/OS in environments like CICS, IMS, batch, and others. Customers have expressed an interest in a common solution that can be used by cloud, mobile, web and components like API management, that enables simple discovery and secure access to z/OS business and infrastructure assets using REST technology. Infrastructure providers (cloud-based IaaS and SaaS providers) and mobile services registries (ie: API Management) require a uniform way to interact with z- based middleware for discovery, provisioning, data transformation, and service invocation. 6. z/OS Connect What is it and what are the benefits for customers? z/OS Connect is a Liberty based gateway that provides a secure and simple way to discover and call in to application assets/infrastructure on z/OS from Web/Cloud/Mobile applications using RESTful services. The benefits include : Fast on-ramp for z/OS customers to discover and reach z/OS applications securely/simply using RESTful services. Service references can be copied from z/OS Connect and stored in any repository cloud based (such as IBM Cloud OE) or mobile based (such as IBM Worklight, API Management) or any other web technology Light-weight and modular providing flexibility to run multiple copies on the same or different z/OS systems and assign higher/lower priority to specific Liberty servers Integrated with z/OS management makes the operations of the environment automated and consistent with the environments it is exposing Provides ability to standardize on security access for calling in to z/OS applications in all major environments - CICS, IMS, batch, Unix System Services, and ISV software. Supports SAF-based security integration allowing for individual z/OS Connect services to have unique sets of authorized users. Provides ability to track and prioritize requests from cloud, mobile, web based external requestors using standard z/OS mechanisms like SMF and WLMA. Fulfills audit/chargeback needs for access to z/OS applications 7. WOLA WOLA IBM z/OS Connect WOLA Link Server Task CICS Programs IMS dependent regions BlueMix IMS VSAM DB2 DLI zosConnect JSON to/from byte[] (Cobol copybook) CICS WOLA over OTMA WOLA direct Batch zosConnect JSON to/from byte[] (C structure) zosConnect JSON to/from byte[] (PL/I structure) WOLA WAS Liberty z/OS RESTful RESTful RESTful z/OS Connect A service that encapsulate calling z/OS target applications using REST calls. z/OS Connect will support JSON payloads for calls from external cloud or mobile-based clients and will enable the conversion of the payload to the target program's expected format. It will also provide the response payload conversion from a byte array into JSON format before returning the response to the caller. Data binding conversion/routing Mobile/ APIM Mobile/ APIM Security / Auditing / Metering CloudOE Javascript CloudOE Javascript CloudOE Java 8. z/OS Connect Liberty under CICS CICS Programs CloudOE Javascript CloudOE Javascript CloudOE Java BlueMix VSAM DB2 zosConnect JSON to/from byte[] (Cobol copybook) CICS zosConnect JSON to/from byte[] (C structure) zosConnect JSON to/from byte[] (PL/I structure) CICS Liberty/JVMServer RESTful RESTful RESTful z/OS Connect under CICS Liberty Same z/OS Connect implementation the CICS JCICS service provider handles requests targeted to existing CICS programs. CICS provides interceptors to integrate z/OS Connect with CICS security Data binding conversion/routing Security / Auditing / Metering JCICS Mobile/ APIM Mobile/ APIM 9. Dependent Region Message Processing Program (MPP) WOLA IMS Connect z/OS Connect Liberty for IMS IMS dependent regions BlueMix IMS DB2 zosConnect JSON to/from byte[] (Cobol copybook) zosConnect JSON to/from byte[] (C structure) zosConnect JSON to/from byte[] (PL/I structure) z/OS Connect Liberty for IMS RESTful RESTful RESTful Data binding conversion/routing Security / Auditing / Metering z/OS Connect Liberty for IMS Same z/OS Connect implementation WOLA or the IMS Connect service provider handles requests targeted to existing IMS transactions and data. TCP/IP OTMA OTMA CloudOE Javascript CloudOE Javascript CloudOE Java Mobile/ APIM Mobile/ APIM DLI IMS DB ODBM Dependent Region Batch Message Processing Program (BMP) Dependent Region IMS Fast Path (IFP) Dependent Region Java Message Proc (JMP) Dependent Region Java Batch Proc (JBP) DLI 10. GUIDE SHARE EUROPE Agenda: z/OS Connect... Mainframe Makes Mobile Magic Mobile Workload Pricing What's going on in CICS TS with IBM Design Thinking? 11. Mobile Workload Pricing for z/OS Benefits Improves the cost of growth for mobile transactions processed in System z environments such as CICS, IMS, DB2, and WAS Mobile Workload Pricing (MWP) for z/OS enhances Sub-Capacity pricing Mitigates the impact of Mobile on MLC charges where higher transaction volumes cause a spike in machine utilization Normalizes the rate of transaction growth No infrastructure changes required, no separate LPARs needed It is an enhanced way of reporting sub-capacity MSUs System runs as it always has, workload execution is not altered Hardware requirements Available to all enterprises running a zEC12 or zBC12 server (actual mobile work may run on any zEnterprise machine including z196 and z114) MWP Announcement Letters 2014-05-06 AP14-0219 Asia Pacific A14-0429 Canada ZP14-0280 Europe, Middle East, Africa JP14-0279 Japan LP14-0279 Latin America 214-223 United States 12. Mobile Workload Pricing Reporting Process New Mobile Workload Reporting Tool (MWRT) available 30 June 2014 A new Windows-based Java tool to report sub-capacity MSUs and make adjustments to reported LPAR MSUs based on Mobile transaction data Standard SCRT methodology plus new feature to adjust for Mobile workload impact New tool will replace SCRT for customers who take advantage of Mobile Workload Pricing Customers must track mobile transactions and produce a file showing mobile CPU consumption each month Record mobile program transaction data, including CPU seconds, on an hourly basis per LPAR Load the resulting data file into MWRT each month (IBM-specified CSV format) Run MWRT and submit the results to IBM each month (Replaces SCRT process) MSU adjustments and monthly peak calculation for billing MWRT will subtract 60% of the reported Mobile MSUs from a given LPAR in each hour, adjusting the total LPAR MSU value for that hour This will function like a partial off-load from a software pricing perspective When an LPAR value is adjusted, all software running in the LPAR will benefit from lower MSUs Tool will calculate the monthly MSU peak for a given machine using the adjusted MSU values 13. Example: reducing Mobile impact to LPAR peak z/OS & Other CICS Measure LPAR MSUs: Standard SCRT methodology, SMF 70 records1,500 Usag e Tag Mobile transactions: e.g. Capture CICS transaction details (SMF 110 records) and filter by transaction type Other Mobile Other 1,380 MSUs Subtract 60% of mobile MSUs: -60% * 200 = -120 Measure CICS usage: Capture SMF 89 record in new IBM reporting tool (replaces SCRT); SMF 89 is IBM usage standard CICS, z/OS & Other 200 100 100 80 Adjusted LPAR MSUs: Per new MWRT reporting tool Transaction definitions Adjusted LPAR MSUs used to determine peak for month; Pricing & billing BAU based on peak MSUs 1 2 3 4 5 6 300 Mobile LPAR MSUs for billing (Standard) z/OS/Other 1,500 CICS 1,500 LPAR MSUs for billing (Adjusted) z/OS/Other 1,380 CICS 1,380Figures are for illustrative purposes only. 14. Example: Sample LPAR MSU values by hour SCRT calculates the Rolling 4-Hour Average (R4HA) MSU peak All workloads are included Peak R4HA value = 1404 MSUs 15. LPAR MSU values adjusted for mobile contribution MWRT removes 60% of the Mobile workload, interval-by-interval Non-mobile workload is unchanged Billing for the month is based upon the newly calculated R4HA curve after the mobile workload has been reduced New Peak R4HA Value = 1231 MSUs MWRT savings = 173 MSUs Provides benefit when Mobile workloads contribute to monthly peak MSUs; Off-peak MSU adjustments will not affect MSUs used for billing. Original Peak R4HA value = 1404 MSUs 16. Identifying Mobile Transaction Workload Customers are responsible for processing their mobile transaction data into a predefined format to be loaded into MWRT for each sub-capacity reporting period. IBM must approve the data gathering methodology. The data must consist of general purpose processor CPU seconds for each mobile transaction program summarized by hour by LPAR for all machines processing mobile transactions. Detailed instructions, including CSV file format, available in the MWRT user's guide. Mobile Workload Pricing Defining Programs: 5655-S97 CICS TS for z/OS V4 5635-A04 IMS V13 5655-Y04 CICS TS for z/OS V5 5655-DSQ IMS DB VUE V12 5722-DFJ CICS VUE V5 5655-DSM IMS DB VUE V13 5635-DB2 DB2 V9 for z/OS 5655-L82 WS MQ for z/OS V6 5605-DB2 DB2 10 for z/OS 5655-R36 WS MQ for z/OS V7 5615-DB2 DB2 11 for z/OS 5655-W97 WS MQ for z/OS V8 5697-P12 DB2 VUE V9 5655-VUE WS MQ VUE V7 5697-P31 DB2 10 VUE 5655-VU8 WS MQ VUE V8 5697-P43 DB2 11 VUE 5655-N02 WebSphere App Server for z/OS V7 5635-A02 IMS V11 5655-W65 WebSphere App Server for z/OS V8 5635-A03 IMS V12 17. New MWP Contract Addendum Mobile Workload Pricing is available for Mobile workloads running on a zEC12 or zBC12 server with AWLC or AEWLC sub-capacity pricing Alternatively, if you install and operate a zEC12 or zBC12 in your enterprise you will be eligible for MWP when running a Mobile Workload Pricing Defining Program on a z196 or z114 server with sub-capacity pricing There is a new contract addendum: The System z AWLC and AEWLC Addendum for Mobile Workload Pricing Contract number Z126-6300 Agreement to and compliance with the terms and conditions specified in the MWP contract Addendum is required If the MWP Addendum is not implemented, MWRT Reports will be rejected! 18. Measuring GP CPU for Mobile Workload Pricing (MWP) From Announcement ZP14-0280 (EMEA) - https://ibm.biz/MWPAnnouncementLetter .... Mobile workloads are defined as the transactions processed by a named mobile application, or transactions that can be identified as originating from a mobile device. You must be able to track and report the general purpose processor time (CPU Time) for mobile transactions and report those values in a pre-defined format to IBM each month .... It is necessary to provide evidence a transaction is eligible for MWP and quantify the GP CPU consumed. Evidence must originate outside of the system and be associated with the CPU measured for the request. Some measuring techniques use an address space as the measurement 'container' and others require the finer granularity of a transaction. The quantified amount of GP CPU consumed must be captured to provide input to the MWP reporting tool (MWRT). 19. Providing evidence of eligibility We have identified two classes of evidence implicit and explicit: Implicit evidence: Something about where the work is routed to eg if all mobile work is routed to particular servers, then all their consumption is eligible (transaction-level measurement is not required). This is the most invasive option for system programmers as it requires new servers or changes to routing to existing servers. Something about where the work arrives from eg if particular routes are reserved for mobile requests, then their identity can serve as evidence (transaction-level measurement is required). This evidence might only be known in the receiving system, and might not flow to other systems deeper in the infrastructure. Explicit evidence: Something in the request itself. Requires transaction-level measurement. Its target transaction id, its security context, an element of its payload (an explicit parameter asserting evidence), ... This is also quite invasive, especially for the application developers. You might already be operating your systems with the necessary evidence it won't always require large changes to provide it. 20. Quantifying GP CPU eligible for MWP No new CPU measurement techniques have been created for MWP. It is intended that the mobile defining products' existing capabilities can be used to satisfy the requirements for quantifying GP CPU eligible for MWP. It is expected that SMF records and other log data containing GP CPU consumption measurements will be used to contain the evidence that the transaction(s) consuming the CPU are eligible. Using the evidence associated with the measurement 'container' (address space or transaction), you can calculate the total GP CPU eligible for MWP and provide it as input to MWRT. The diagram on the following page illustrates these concepts. 21. Mobile Workload Pricing: Technology Requirements CICS IMS DB2 MQ WAS SMF MWRT Mobile CPU Measurement MWP peak CSV file Mobile Trans Non- Mobile Trans Mobile CPU Measurement: Varies by product, application and installation. Types 70 & 89 22. Example1::Measuringbydefiningproductinstance 23. Example 1:: Measuring by defining product instance If you are not currently measuring CPU at the individual transaction or request level, and do not wish to move to a finer grained level of measurement, then you have the option to use existing mechanisms to route eligible mobile workload to dedicated instances and use the SMF 89 records that are recorded with the CPU consumption for each of the instances processing that workload. The address spaces dedicated to eligible workload could be existing ones which you now use exclusively for such transactions, new ones that are required to support growth in such workload, or a mixture of new and existing. If, for example, work arrives via TCPIP, then the mobile requester will use an IP address which resolves to one or more listening ports associated with specific address spaces running one of the mobile defining products. It is important that only eligible workload is routed to these regions, as you will be recording the entire CPU measurement as eligible workload for those address spaces in MWRT. Similarly, it would be possible to dedicate intermediate resources (such as CICS Transaction Gateway) to mobile workloads and route from them to the defining product - however only CPU measured from the defining product's address space will be valid input to MWRT. You will need to add up the total CPU measurements for the address spaces you are dedicating to eligible workload and use these in the CSV file input to MWRT. 24. Example 1:: Measuring by defining product instance (continued) Some instances of defining products MUST serve both eligible and non- eligible workloads - for example, a CICS File Owning Region cannot be cloned into one that is used for eligible work and one for ineligible work. In these cases you will NOT be able to attribute the CPU consumed in such an address space to mobile workload. Pros: does not require introduction of transaction-level measurement. Cons: requires existing or newly created middleware instances to be dedicated exclusively to eligible workload, with a 'fence' between the execution resources. 25. Example 1:: Measuring by defining product instance (continued) CICS regions 1-10 CICS regions 11-15 SMF MWRT Mobile CPU Measurement MWP peak CSV file Mobile Trans Non- Mobile Trans Mobile CPU Measurement: Calculate the total GP CPU consumed by regions 11-15. Types 70 & 89 26. Example2::Measuringbytransactionname 27. Example 2:: Measuring by transaction name Transaction names (or tranids) are a very familiar mechanism used to distinguish workloads of different types. Although most commonly used as a functional distinction, it is common to use them for accounting and charge-back purposes. Also tranids are already commonly used to informing routing and workload management decisions, and many performance analysis tools have excellent support to split out work by tranid, so extending their use to distinguish workload for mobile CPU measurement might be appropriate. However, this will mean defining new tranids in order to ensure that eligible and non-eligible workload is robustly distinguished. Also, you might have application or system code which is sensitive to tranid values already, so overloading their use for MWP might not be appropriate, and you would want to consider one of the options below. In CICS TS, tranids dedicated to mobile workload can be associated with the same application programs and run alongside tasks using the existing tranids. 28. Example 2:: Measuring by transaction name CICS regions 1-10 SMF MWRT Mobile CPU Measurement MWP peak CSV file Mobile Trans Non- Mobile Trans Mobile CPU Measurement: Calculate the total GP CPU consumed by MOB1 transactions Types 70 & 89 MOB1 MOB1 MOB1 TRN4 TRN4 TRN4 Type 110 29. In Summary Mobile Workload Pricing (MWP) Benefits Improves the cost of growth for mobile transactions processed in System z environments such as CICS, IMS, DB2, and WAS MWP for z/OS enhances Sub-Capacity pricing Mitigates the impact of Mobile on MLC charges where higher transaction volumes cause a spike in machine utilization Normalizes the rate of transaction growth No infrastructure changes required, no separate LPARs needed It is an enhanced way of reporting sub-capacity MSUs System runs as it always has, workload execution is not altered Key requirements Available to all enterprises running a zEC12 or zBC12 server (actual mobile work may run on any zEnterprise machine including z196 and z114) Use a Mobile Workload Pricing Defining Program to process mobile transactions Implement sub-capacity using AWLC or AEWLC under standard pricing terms Meet the mobile workload tracking and reporting requirements