The document summarizes a case study on tuning software costs for a large international bank. It describes how the consultant analyzed the client's workload profile, identified areas of high resource consumption like a CICS region with high RACF overhead, and made recommendations such as reducing security checks and spreading batch jobs to off-peak hours to lower software bills. Modeling showed how rescheduling backups could save an additional 20% of batch costs.
PHP is widely adopted for enterprise web development. Many top websites use PHP, including Google, Facebook, YouTube, Wikipedia, and Twitter. PHP adoption among commercial and corporate developers is growing rapidly, expected to increase from 20% to 50% of the worldwide PHP developer population. PHP provides a full ecosystem for enterprise web development and is increasingly used for content management and other business applications.
The document discusses new technologies applied to develop tight hydrocarbon reservoirs in the Cambay Basin of India. Specifically, it details the application of horizontal drilling, multistage fracturing, and microseismic monitoring in a well in the Cambay Field. This well is expected to produce 300,000-500,000 m3/d of gas, compared to typical production of 30,000-50,000 m3/d from vertical wells. These new technologies could also be applied in other Indian basins containing tight reservoirs to help meet the country's growing energy demand.
Exploring Tight Gas Reservoir Using Intelligent Well TechnologyAbhinav Bisht
The document discusses exploring tight gas reservoirs economically using intelligent well completion (IWC) technology. Tight gas is found in low permeability rock and requires hydraulic fracturing and directional drilling to produce. IWC uses remotely operated valves for selective multi-stage fracturing of horizontal wells to improve efficiency. A case study describes how IWC and microseismic monitoring in China's Changbei Field helped optimize subsequent horizontal well completions in that field.
This document provides an overview of the STARS reservoir simulation software from CMG. STARS can accurately model various thermal and enhanced oil recovery processes at multiple scales from core floods to field-scale. It allows users to optimize field development plans, model complex wellbore designs, simulate formation of emulsions and foams, and predict asphaltene precipitation. STARS remains the industry standard for simulating thermal recovery processes like SAGD and steamflooding as well as chemical EOR processes through its robust reaction kinetics and ability to mechanistically model physical processes.
The document summarizes the results of several studies that analyzed the impact of online advertising when used in conjunction with other traditional media channels like television, print, radio and outdoor advertising. Some key findings from the studies include:
1) Using online advertising together with television and print for a Dove campaign resulted in lifts of 9.1-46.7% for brand awareness, ad awareness and purchase intent.
2) Adding online to a Canadian Tire campaign with radio led to lifts of 5.8-16.7% for ad awareness, brand favorability and purchase intent.
3) A GM campaign combining online with magazine ads saw lifts of 8-30% for brand awareness and ad awareness, particularly
Tight oil, also called light tight oil, refers to oil trapped in low-porosity shale or siltstone formations located deep underground. Horizontal drilling and hydraulic fracturing are used to extract the tightly locked oil. These formations have very low permeability and porosity and require advanced drilling techniques. North American tight oil production has grown significantly since 2005 using these methods, contributing to reduced oil imports. Future global production from shale is estimated to remain high through 2050 as more regions develop their shale resources.
Apresentação de Victor Manuel Salazar Araque, da Computer Modelling Group, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
The document summarizes a simulation study on the effects of well spacing, permeability anisotropy, and the Palmer and Mansoori model on coalbed methane production. The study used a dual-porosity simulation model to analyze gas production from a single coal seam under different well spacing and configurations. It found that closer well spacing increased production rates and recovery. Placing wells along the direction of higher permeability in anisotropic reservoirs also improved recovery. The Palmer and Mansoori model, which accounts for matrix shrinkage and cleat compression, impacted predicted production rates and should be considered in coalbed methane simulations.
PHP is widely adopted for enterprise web development. Many top websites use PHP, including Google, Facebook, YouTube, Wikipedia, and Twitter. PHP adoption among commercial and corporate developers is growing rapidly, expected to increase from 20% to 50% of the worldwide PHP developer population. PHP provides a full ecosystem for enterprise web development and is increasingly used for content management and other business applications.
The document discusses new technologies applied to develop tight hydrocarbon reservoirs in the Cambay Basin of India. Specifically, it details the application of horizontal drilling, multistage fracturing, and microseismic monitoring in a well in the Cambay Field. This well is expected to produce 300,000-500,000 m3/d of gas, compared to typical production of 30,000-50,000 m3/d from vertical wells. These new technologies could also be applied in other Indian basins containing tight reservoirs to help meet the country's growing energy demand.
Exploring Tight Gas Reservoir Using Intelligent Well TechnologyAbhinav Bisht
The document discusses exploring tight gas reservoirs economically using intelligent well completion (IWC) technology. Tight gas is found in low permeability rock and requires hydraulic fracturing and directional drilling to produce. IWC uses remotely operated valves for selective multi-stage fracturing of horizontal wells to improve efficiency. A case study describes how IWC and microseismic monitoring in China's Changbei Field helped optimize subsequent horizontal well completions in that field.
This document provides an overview of the STARS reservoir simulation software from CMG. STARS can accurately model various thermal and enhanced oil recovery processes at multiple scales from core floods to field-scale. It allows users to optimize field development plans, model complex wellbore designs, simulate formation of emulsions and foams, and predict asphaltene precipitation. STARS remains the industry standard for simulating thermal recovery processes like SAGD and steamflooding as well as chemical EOR processes through its robust reaction kinetics and ability to mechanistically model physical processes.
The document summarizes the results of several studies that analyzed the impact of online advertising when used in conjunction with other traditional media channels like television, print, radio and outdoor advertising. Some key findings from the studies include:
1) Using online advertising together with television and print for a Dove campaign resulted in lifts of 9.1-46.7% for brand awareness, ad awareness and purchase intent.
2) Adding online to a Canadian Tire campaign with radio led to lifts of 5.8-16.7% for ad awareness, brand favorability and purchase intent.
3) A GM campaign combining online with magazine ads saw lifts of 8-30% for brand awareness and ad awareness, particularly
Tight oil, also called light tight oil, refers to oil trapped in low-porosity shale or siltstone formations located deep underground. Horizontal drilling and hydraulic fracturing are used to extract the tightly locked oil. These formations have very low permeability and porosity and require advanced drilling techniques. North American tight oil production has grown significantly since 2005 using these methods, contributing to reduced oil imports. Future global production from shale is estimated to remain high through 2050 as more regions develop their shale resources.
Apresentação de Victor Manuel Salazar Araque, da Computer Modelling Group, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
The document summarizes a simulation study on the effects of well spacing, permeability anisotropy, and the Palmer and Mansoori model on coalbed methane production. The study used a dual-porosity simulation model to analyze gas production from a single coal seam under different well spacing and configurations. It found that closer well spacing increased production rates and recovery. Placing wells along the direction of higher permeability in anisotropic reservoirs also improved recovery. The Palmer and Mansoori model, which accounts for matrix shrinkage and cleat compression, impacted predicted production rates and should be considered in coalbed methane simulations.
This document discusses tight reservoirs, which are reservoirs with very low permeability (less than 0.1 mD) and porosity (less than 10%). It defines tight gas reservoirs, tight oil reservoirs, and the characteristic properties of tight reservoirs, such as low porosity and permeability. It also discusses the importance of logging, factors to consider for tight reservoirs like geologic and reservoir properties, and techniques used to produce from tight reservoirs, including hydraulic fracturing and horizontal drilling. Tight reservoirs account for a large portion of remaining oil and gas reserves and require advanced drilling and completion techniques to produce economically.
The document discusses shale oil and gas, focusing on unconventional reservoirs like the Eagle Ford and Bakken shales. It provides details on:
1) How shale formations were deposited in anoxic marine environments and matured over time to generate oil and gas from organic-rich source rocks.
2) Technological advances like horizontal drilling and hydraulic fracturing that made extraction of shale oil and gas economically viable.
3) Key properties that make shales good targets, like total organic carbon content and thermal maturity levels in the oil and gas windows.
4) Major shale oil and gas plays in the US like the Eagle Ford and Bakken, their geologic settings, production characteristics influenced by maturity
RESERVOIRS IN DEVELOPMENT OF UNCONVENTIONAL PAKISTANnight seem
The document discusses Pakistan's unconventional energy resources like tight gas reservoirs, shale gas, and coal bed methane. It notes that these resources could help meet Pakistan's growing energy needs. Unconventional reservoirs are estimated to hold over 200 trillion cubic feet of natural gas. The development of these reservoirs provides challenges but is economically viable given current gas prices. An integrated approach involving exploration companies, service providers, industries, and the government is needed to successfully develop Pakistan's unconventional energy resources.
This document provides instructions for building, running, and analyzing a "black oil" reservoir simulation model using CMG's BUILDER and IMEX software. It describes how to create the simulation grid, assign properties, incorporate well trajectories and production data, run the simulation, and review the results. Key steps include creating PVT data, relative permeability curves, well events, constraints, and restart files. The tutorial also demonstrates how to add an aquifer model and analyze simulation output graphs to history match production data and make predictions.
The document describes a reservoir simulation project involving history matching of an oil reservoir with multiple producers and injectors. 10 different simulation trials were run to match historical production data from 4 key wells by adjusting transmissibility multipliers in different regions of the reservoir model. The best results were achieved in trial 6, where transmissibility was increased in two areas and changed near the main injectors, successfully matching the production of the most important well while having limited effect on other wells. However, fully history matching all 4 wells proved challenging.
This document outlines the steps in a Petrel course, including loading seismic data, well data like trajectories and logs, creating synthetic seismograms, picking horizons in the time domain, applying seismic attributes, converting horizons to depth using well data, and exporting maps of depth surfaces. The horizon picking was noted to be for practice only.
This document discusses unconventional reservoirs and shale gas. It begins with defining unconventional resources as hydrocarbon reservoirs with low permeability and porosity that are difficult to produce. Shale gas is then introduced as natural gas trapped in shale formations. The document outlines a roadmap for identifying and developing shale plays, including geological, geophysical, geochemical, and geomechanical approaches. Key factors like total organic carbon content, thermal maturity, and brittleness are examined. The concept of a "sweet spot" is introduced as the most prospective volumes within a shale play, characterized by properties like thickness and permeability. The document concludes with thanking the audience.
CMG provides three reservoir simulation software packages: IMEX, GEM, and STARS. IMEX is a black oil simulator used for conventional reservoirs. GEM is a compositional simulator that can model complex fluid behavior, including processes where inter-phase mass transfer is important. STARS is an advanced simulator used for thermal modeling and complex reactions. It is the industry standard for modeling chemical EOR processes, including polymer flooding, low salinity flooding, and microbial EOR. CMG has extensive experience using STARS to model H2S bacterial souring through history matching and forecasting. Reservoir engineers can choose the appropriate CMG simulator based on the reservoir fluids and recovery process being modeled.
Petrel course Module_1: Import data and management, make simple surfacesMarc Diviu Franco
This document outlines an introduction course to Petrel software. It covers 5 modules: 1) Loading and editing data, 2) Digital mapping, 3) Surface reconstruction and editing, 4) Fault modeling, and 5) Facies modeling. The course will teach important Petrel functions like surface reconstruction, property modeling between horizons, and making grids and horizons. It provides examples of specific tasks like importing elevation data, draping maps, digitizing polygons for mapping, and modeling zones between reconstructed surfaces.
This document summarizes the process of reservoir modeling and simulation for the Saldanadi Gas Field in Bangladesh using Petrel 2009.1.1 and FrontSim software. The workflow includes collecting seismic, well, and production data; interpreting horizons and faults from seismic lines; developing structural and stratigraphic models; modeling properties; simulating initial conditions and production; and history matching simulation results to field data. The objectives are to better understand reservoir characteristics, locate new wells, and forecast production and investment needs to further develop the field.
Velocity Conference NYC 2014 - Real World DevOpsRodrigo Campos
Rodrigo Campos presented on the challenges faced and benefits of adopting a DevOps culture at Walmart's Latin American e-commerce division. The key challenges included deploying a new platform before Black Friday, expanding infrastructure for traffic spikes, developing an agile mindset, and rebuilding trust between teams. Adopting DevOps practices like improved communication, transparency and collaboration helped address these challenges. It resulted in the successful deployment of the new platform with 100% uptime on Black Friday and increased deployment frequency, success rates and adoption of agile methodologies.
O documento apresenta Rodrigo Campos, diretor de operações da walmart.com, que falará sobre como DevOps pode melhorar as relações entre desenvolvimento e operações nas empresas de tecnologia. Ele discute conceitos como cultura DevOps, novos papéis como desenvolvedores de infraestrutura e gestão de sistemas, métricas como capacidade e velocidade de entrega, e desafios como segurança da informação e conformidade com normas.
Rodrigo Campos is the IT Operations Director at Walmart.com who has been involved in IT operations and infrastructure since 1992. He believes that no technology is fail-proof and will discuss operations of large scale, high demand services. Some of his interests include distributed systems, capacity planning, data extraction and visualization, DevOps, and programming languages like C, Go, Perl and Python.
GDPS/Active-Active provides continuous availability and disaster recovery across sites separated by virtually unlimited distances. It allows both sites to actively process workloads through the use of replication to keep data synchronized and load balancing via the Server Application State Protocol (SASP). SASP works with external load balancers to route workloads to the appropriate site based on factors like workload weight and site latency. This represents a shift from failover models to a continuous availability model.
The document discusses techniques for improving performance on IBM mainframes by using large pages (1MB pages) and giant pages (2GB pages). It explains that traditional 4KB pages cause performance issues due to frequent translation lookaside buffer (TLB) misses during address translation. Using larger pages reduces the number of pages and TLB entries needed, improving performance. It provides details on how large and giant pages are configured and used in IBM mainframes running z/OS.
Otimização holistica de ambiente computacionalRodrigo Campos
O documento discute otimização de ambientes computacionais holísticos, abordando tópicos como planejamento de capacidade considerando usuários, aplicações e infraestrutura, ferramentas de monitoramento, análise de carga, concorrência de acesso, configurações de armazenamento e desempenho, e escalabilidade em sistemas multiprocessados.
Desempenho e Escalabilidade de Banco de Dados em ambiente x86Rodrigo Campos
1) O documento discute configurações de BIOS e hardware para melhor desempenho de bancos de dados em ambientes x86.
2) É abordada a Lei de Moore e como a inovação em tecnologia permite dobrar o número de transistores a cada dois anos, melhorando desempenho e reduzindo consumo.
3) Fatores como CPU, memória, I/O e disco influenciam o desempenho de servidores, e as configurações padrão de BIOS nem sempre são ideais para bancos de dados.
O documento discute os desafios para implementar sistemas transacionais online na nuvem, concluindo que apesar do progresso, ainda existem mais perguntas do que respostas sobre como sistemas com alto volume de transações que precisam respeitar ACID podem se beneficiar totalmente do modelo de nuvem.
#1 - Contribuição dos Caches no Paralelismo. Caches em diversos níveis hierárquicos contribuem para o paralelismo.
#2 - Conceitos de Paralelismo em PipeLines. Evolução desde o S/360, com múltiplas pipelines permitindo execução de várias instruções simultaneamente.
#3 - Quais Features contribuem para o aumento do paralelismo? Features como unidades múltiplas, registradores virtuais e pages grandes contribuem para mais paralelismo.
The document provides guidelines and commands for analyzing z/VM performance. It discusses processor, storage, paging, and server machine guidelines. Key performance metrics like CPU utilization, response time, and throughput are defined. Commands for monitoring load, queues, paging, storage, and more are listed. REORDMON is introduced as a tool for diagnosing reorder processing overhead.
O documento propõe uma arquitetura de segurança para sistemas SCADA na distribuição de água com base nas normas ISO 27002 e ISA 99. A proposta sugere a arquitetura 8 do estudo GAIT, combinando firewalls e VLANs entre as redes de automação e corporativa, e complementa com mecanismos de autenticação e autorização RADIUS/LDAP. A validação ocorreu em ambiente de produção e laboratório para testar o processo de autenticação.
This document discusses tight reservoirs, which are reservoirs with very low permeability (less than 0.1 mD) and porosity (less than 10%). It defines tight gas reservoirs, tight oil reservoirs, and the characteristic properties of tight reservoirs, such as low porosity and permeability. It also discusses the importance of logging, factors to consider for tight reservoirs like geologic and reservoir properties, and techniques used to produce from tight reservoirs, including hydraulic fracturing and horizontal drilling. Tight reservoirs account for a large portion of remaining oil and gas reserves and require advanced drilling and completion techniques to produce economically.
The document discusses shale oil and gas, focusing on unconventional reservoirs like the Eagle Ford and Bakken shales. It provides details on:
1) How shale formations were deposited in anoxic marine environments and matured over time to generate oil and gas from organic-rich source rocks.
2) Technological advances like horizontal drilling and hydraulic fracturing that made extraction of shale oil and gas economically viable.
3) Key properties that make shales good targets, like total organic carbon content and thermal maturity levels in the oil and gas windows.
4) Major shale oil and gas plays in the US like the Eagle Ford and Bakken, their geologic settings, production characteristics influenced by maturity
RESERVOIRS IN DEVELOPMENT OF UNCONVENTIONAL PAKISTANnight seem
The document discusses Pakistan's unconventional energy resources like tight gas reservoirs, shale gas, and coal bed methane. It notes that these resources could help meet Pakistan's growing energy needs. Unconventional reservoirs are estimated to hold over 200 trillion cubic feet of natural gas. The development of these reservoirs provides challenges but is economically viable given current gas prices. An integrated approach involving exploration companies, service providers, industries, and the government is needed to successfully develop Pakistan's unconventional energy resources.
This document provides instructions for building, running, and analyzing a "black oil" reservoir simulation model using CMG's BUILDER and IMEX software. It describes how to create the simulation grid, assign properties, incorporate well trajectories and production data, run the simulation, and review the results. Key steps include creating PVT data, relative permeability curves, well events, constraints, and restart files. The tutorial also demonstrates how to add an aquifer model and analyze simulation output graphs to history match production data and make predictions.
The document describes a reservoir simulation project involving history matching of an oil reservoir with multiple producers and injectors. 10 different simulation trials were run to match historical production data from 4 key wells by adjusting transmissibility multipliers in different regions of the reservoir model. The best results were achieved in trial 6, where transmissibility was increased in two areas and changed near the main injectors, successfully matching the production of the most important well while having limited effect on other wells. However, fully history matching all 4 wells proved challenging.
This document outlines the steps in a Petrel course, including loading seismic data, well data like trajectories and logs, creating synthetic seismograms, picking horizons in the time domain, applying seismic attributes, converting horizons to depth using well data, and exporting maps of depth surfaces. The horizon picking was noted to be for practice only.
This document discusses unconventional reservoirs and shale gas. It begins with defining unconventional resources as hydrocarbon reservoirs with low permeability and porosity that are difficult to produce. Shale gas is then introduced as natural gas trapped in shale formations. The document outlines a roadmap for identifying and developing shale plays, including geological, geophysical, geochemical, and geomechanical approaches. Key factors like total organic carbon content, thermal maturity, and brittleness are examined. The concept of a "sweet spot" is introduced as the most prospective volumes within a shale play, characterized by properties like thickness and permeability. The document concludes with thanking the audience.
CMG provides three reservoir simulation software packages: IMEX, GEM, and STARS. IMEX is a black oil simulator used for conventional reservoirs. GEM is a compositional simulator that can model complex fluid behavior, including processes where inter-phase mass transfer is important. STARS is an advanced simulator used for thermal modeling and complex reactions. It is the industry standard for modeling chemical EOR processes, including polymer flooding, low salinity flooding, and microbial EOR. CMG has extensive experience using STARS to model H2S bacterial souring through history matching and forecasting. Reservoir engineers can choose the appropriate CMG simulator based on the reservoir fluids and recovery process being modeled.
Petrel course Module_1: Import data and management, make simple surfacesMarc Diviu Franco
This document outlines an introduction course to Petrel software. It covers 5 modules: 1) Loading and editing data, 2) Digital mapping, 3) Surface reconstruction and editing, 4) Fault modeling, and 5) Facies modeling. The course will teach important Petrel functions like surface reconstruction, property modeling between horizons, and making grids and horizons. It provides examples of specific tasks like importing elevation data, draping maps, digitizing polygons for mapping, and modeling zones between reconstructed surfaces.
This document summarizes the process of reservoir modeling and simulation for the Saldanadi Gas Field in Bangladesh using Petrel 2009.1.1 and FrontSim software. The workflow includes collecting seismic, well, and production data; interpreting horizons and faults from seismic lines; developing structural and stratigraphic models; modeling properties; simulating initial conditions and production; and history matching simulation results to field data. The objectives are to better understand reservoir characteristics, locate new wells, and forecast production and investment needs to further develop the field.
Velocity Conference NYC 2014 - Real World DevOpsRodrigo Campos
Rodrigo Campos presented on the challenges faced and benefits of adopting a DevOps culture at Walmart's Latin American e-commerce division. The key challenges included deploying a new platform before Black Friday, expanding infrastructure for traffic spikes, developing an agile mindset, and rebuilding trust between teams. Adopting DevOps practices like improved communication, transparency and collaboration helped address these challenges. It resulted in the successful deployment of the new platform with 100% uptime on Black Friday and increased deployment frequency, success rates and adoption of agile methodologies.
O documento apresenta Rodrigo Campos, diretor de operações da walmart.com, que falará sobre como DevOps pode melhorar as relações entre desenvolvimento e operações nas empresas de tecnologia. Ele discute conceitos como cultura DevOps, novos papéis como desenvolvedores de infraestrutura e gestão de sistemas, métricas como capacidade e velocidade de entrega, e desafios como segurança da informação e conformidade com normas.
Rodrigo Campos is the IT Operations Director at Walmart.com who has been involved in IT operations and infrastructure since 1992. He believes that no technology is fail-proof and will discuss operations of large scale, high demand services. Some of his interests include distributed systems, capacity planning, data extraction and visualization, DevOps, and programming languages like C, Go, Perl and Python.
GDPS/Active-Active provides continuous availability and disaster recovery across sites separated by virtually unlimited distances. It allows both sites to actively process workloads through the use of replication to keep data synchronized and load balancing via the Server Application State Protocol (SASP). SASP works with external load balancers to route workloads to the appropriate site based on factors like workload weight and site latency. This represents a shift from failover models to a continuous availability model.
The document discusses techniques for improving performance on IBM mainframes by using large pages (1MB pages) and giant pages (2GB pages). It explains that traditional 4KB pages cause performance issues due to frequent translation lookaside buffer (TLB) misses during address translation. Using larger pages reduces the number of pages and TLB entries needed, improving performance. It provides details on how large and giant pages are configured and used in IBM mainframes running z/OS.
Otimização holistica de ambiente computacionalRodrigo Campos
O documento discute otimização de ambientes computacionais holísticos, abordando tópicos como planejamento de capacidade considerando usuários, aplicações e infraestrutura, ferramentas de monitoramento, análise de carga, concorrência de acesso, configurações de armazenamento e desempenho, e escalabilidade em sistemas multiprocessados.
Desempenho e Escalabilidade de Banco de Dados em ambiente x86Rodrigo Campos
1) O documento discute configurações de BIOS e hardware para melhor desempenho de bancos de dados em ambientes x86.
2) É abordada a Lei de Moore e como a inovação em tecnologia permite dobrar o número de transistores a cada dois anos, melhorando desempenho e reduzindo consumo.
3) Fatores como CPU, memória, I/O e disco influenciam o desempenho de servidores, e as configurações padrão de BIOS nem sempre são ideais para bancos de dados.
O documento discute os desafios para implementar sistemas transacionais online na nuvem, concluindo que apesar do progresso, ainda existem mais perguntas do que respostas sobre como sistemas com alto volume de transações que precisam respeitar ACID podem se beneficiar totalmente do modelo de nuvem.
#1 - Contribuição dos Caches no Paralelismo. Caches em diversos níveis hierárquicos contribuem para o paralelismo.
#2 - Conceitos de Paralelismo em PipeLines. Evolução desde o S/360, com múltiplas pipelines permitindo execução de várias instruções simultaneamente.
#3 - Quais Features contribuem para o aumento do paralelismo? Features como unidades múltiplas, registradores virtuais e pages grandes contribuem para mais paralelismo.
The document provides guidelines and commands for analyzing z/VM performance. It discusses processor, storage, paging, and server machine guidelines. Key performance metrics like CPU utilization, response time, and throughput are defined. Commands for monitoring load, queues, paging, storage, and more are listed. REORDMON is introduced as a tool for diagnosing reorder processing overhead.
O documento propõe uma arquitetura de segurança para sistemas SCADA na distribuição de água com base nas normas ISO 27002 e ISA 99. A proposta sugere a arquitetura 8 do estudo GAIT, combinando firewalls e VLANs entre as redes de automação e corporativa, e complementa com mecanismos de autenticação e autorização RADIUS/LDAP. A validação ocorreu em ambiente de produção e laboratório para testar o processo de autenticação.
DevOps has become a broad term that is frequently misunderstood. This presentation, originally made to Walmart GeC Brazil Operations teams, aimed at explaining the basic aspects of DevOps and how its adoption can help us to become more agile.
Disk IO Benchmarking in shared multi-tenant environmentsRodrigo Campos
This document discusses benchmarking disk I/O performance in shared, multi-tenant cloud environments. It notes challenges with traditional tools and methodologies. It proposes a simple benchmarking tool called iomelt that uses direct I/O and fadvise calls to minimize buffering effects. Results show direct I/O can reduce performance compared to buffered I/O. The document recommends regularly benchmarking different instance types and regions over long periods to analyze performance consistency in shared environments.
O documento discute a história e os conceitos de computação em nuvem, bem como as oportunidades e desafios apresentados. Ele traça a evolução desde os primeiros centros de processamento de dados até a internet das coisas atual, destacando como a computação em nuvem permite escalabilidade, disponibilidade e pagamento por uso de recursos compartilhados. O documento também examina como a nuvem muda processos de compra, design, escalabilidade e segurança de sistemas.
1) O documento discute os desafios do processamento de grandes volumes de dados, conhecidos como Big Data.
2) Novas tecnologias como bancos de dados não-relacionais, MapReduce e visualização de dados são necessárias para lidar com a escala, diversidade e distribuição dos dados.
3) As ferramentas para Big Data ainda estão evoluindo para atender as novas demandas, mas já complementam soluções estabelecidas.
O documento discute a consumerização da TI e o efeito BYOT (Bring Your Own Technology). Apresenta estatísticas sobre o uso crescente de dispositivos pessoais no trabalho e desafios associados, como a necessidade de novas políticas de segurança e suporte. Também aborda tendências como trabalho flexível e mobilidade, e o impacto no Brasil.
O documento discute o conceito de linhas de cache e sua influência no desempenho de programas em mainframes IBM z196. Aborda os níveis de cache hierárquicos possíveis, quantas linhas são necessárias para diferentes padrões de referência e detalhes sobre o uso de linhas, incluindo a influência do sistema operacional z/OS. Também fornece recomendações para otimizar programas aproveitando as características dos processadores.
Racionalização e Otimização de Energia em Computação na NuvemRodrigo Campos
Gerenciamento de potência e gestão de energia no data center podem promover economia significativa de energia através de estratégias como monitoramento de consumo, limites de potência dinâmicos e estacionamento de servidores ociosos. Evoluir nos modelos de maturidade requer experiência, mas traz retornos crescentes sem impactar o negócio. Melhor gerenciamento é essencial para incorporar custos de energia e viabilizar pagamento proporcional ao uso.
The document compares the performance of different Amazon RDS database instance types for write I/O benchmarks using mysqlslap. It finds that larger instance types with more EC2 compute units provide better write performance and scale to higher concurrency levels. The size of the EBS volume attached has little impact on performance, but contention between instances on the same physical server negatively affects small instances more than large instances.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
CMG 2012 - Tuning where it matters - Gerry Tuddenham
1. CMG Brazil Conference 2012
Tuning where it matters – a case study
Prepared by CPT Global Limited
Presenter Gerry Tuddenham
Telephone: +61 418 372 999
Email: gtuddenham@cptglobal.com
Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
2. PRESENTATION CONTENT
• Set the scene – the Client, the issue
• How we targeted the reduction efforts
• Approach taken – top down
• Examples of things we looked for / found
• Examples of changes recommended
• Where we are going next
• Results
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
3. SETTING THE SCENE
• Client is a large International bank
• Completely different culture
• Very risk-averse, and change averse
• Very untrusting of non-French speaking “experts”
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
4. THE ISSUE
• Growing monthly SCRT based software cost
• Approaching the point of requiring a large upgrade
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
5. TECHNICAL ENVIRONMENT
• Client had recently centralised a number of region
data centres onto 2 CECs in 2 data centres in a
central location
• Consolidation had just been physical, so LPARs
were still regional, though mainly ran the same
applications with regional flavours
• Throughout the project the client has been
migrating workloads and moving to a non-regional
configuration
• Applications mainly CICS / COBOL / DB2, though
some CICS / VSAM
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
6. TUNING FOCUS
Typical Challenge Approach
• Capacity Issue • Move workloads to quieter times
Run own • Tune what is left
systems • Reduce software bill • Need to focus on the peak 4HRA and
smoothing the workload
• Billed based on peak hour • Move workloads to quieter times
• Make outsourcer move housekeeping
Outsourced • Tune what is left
• Billed based on total • Tune
consumption
• Customer running out of • Move workloads to quieter times
capacity • Tune what is left
Outsourcer
• Customer pays for application • Only tune what is not billed, don’t tune
address spaces only system-wide parameters
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
7. TOP DOWN, FOCUSED APPROACH
• Understand the goals of tuning
• Understand the workload profile (RMF70, RMF72)
• Decide on area of focus
• Identify the big burners (SMF30)
• Use a sampling tool to understand what they are
doing
• Build and implement recommendations
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
8. FOCUS WHERE IT MATTERS
Data for CEC « B », Batch
the other CEC has a Peak monthly 4HRA driven TSO
similar profile Online
by online morning peak STC
6000 System
Uncaptured
5500 4HRA
5000
4500
4000
3500
3000
MIPS
2500
2000
1500
1000
500
0
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
Fri 0h
Thu 0h
Mon 0h
Tue 0h
Wed 0h
Hourly intervals for week starting 2 December 2008
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
9. FOCUS WHERE IT MATTERS
Peak monthly 4HRA driven Area of focus
by online morning peak 4HRA
6000
5500
5000
4500
4000
3500
MIPS
3000
2500
2000
1500
1000
500
0
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
Thu 0h
Mon 0h
Fri 0h
Tue 0h
Wed 0h
Hourly intervals for week starting 2 December 2008
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
10. FOCUS WHERE IT MATTERS
Batch
7000 Batch Large online peak Large midday TSO
Online
6500 throughout day batch suite STC
System
6000 Uncaptured
5500 4HRA
5000
4500
4000
3500
MIPS
3000
2500
2000
1500
1000
500
0
08h00
08h30
09h00
09h30
10h00
10h30
11h00
11h30
12h00
12h30
13h00
13h30
14h00
15 minute intervals for Tuesday 3 December 2008
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
11. INITIAL SAMPLE – LARGEST CICS REGION
High RACF overhead
MODULE SECTION PROCEDURE/FUNCTION CPU TIME PERCENT
NAME NAME NAME TOTAL
.SUPERVS IGC0013{ IRRRFC23 SUPERVISOR SERVICES 17.78
.NUCLEUS IEAVESL SUSPEND LOCK SERVICE 7.36
.DB2 DSNK2DM DSNKNXT2 FETCH NEXT TYPE 2 INDEX 4.64
.DB2 DSNK2DM DSNKFTCH FETCH TYPE 2 IDX ENTRY 2.61
.CICS DFHSIP DFHTRPX TR DOM-TRC PUT-FAST PATH 2.51
.DB2 DSNBBM DSNB1GET RETRIEVE REQUESTED PAGE 1.38
.LELIB CEEPLPKA CEEV#GTS GET HEAP STORAGE 2.00
.DB2 DSNIDM DSNIRNXT FETCH NEXT ROW TO PROG 1.37
.DB2 DSNIDM DSNIONX2 NEXT ON CUB ON IXED FAN 1.02
CICS Trace active Lots of DB2 activity LE Storage Parameters
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
12. REDUCING THE RACF OVERHEAD
• SIT security parameters
• Check the Xxxx parameters in SIT
• XPPT and XFCT are very expensive
• If they are set, ask why
• MRO session security
• With ATTACHSEC = IDENTIFY on a CICS MRO link,
CICS will perform 2 RACF checks at transaction attach:
one for the incoming userid, another for the session userid
• Letting the SESSION userid default to the region default userid
reduces this to 1
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
13. FOCUS WHERE IT MATTERS - 2
6000 Peak now overnight Area of focus
batch 4HRA in December 2008
5500 4HRA
5000
4500
4000
3500
3000
MIPS
2500
2000
1500
1000
500
0
Thu 0h
4h
8h
4h
8h
4h
8h
4h
8h
4h
8h
12h
16h
20h
12h
16h
20h
12h
16h
20h
12h
16h
20h
12h
16h
20h
Tue 0h
Wed 0h
Fri 0h
Mon 0h
Hourly intervals for week starting 2 March 2008
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
14. DEALING WITH BATCH
• Spread what you can into white space
• Tune or squeeze the rest
• The difficult bit is convincing the operations area
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
15. MODELING CHANGES TO BACKUPS
BATMD load shown
8500 Other Batch Medium over both CECs
8000 Consumption of ADRDSSU backups
7500
7000
6500
Batch all kicks off at 19h00
6000 Backups
5500
around 20% of
5000
4500
batch
4000
MIPS
3500
3000
2500
2000
1500
1000
500
0
Thu 0h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
Tue 0h
Fri 0h
Wed 0h
Mon 0h
Hourly intervals for week starting 30 March 2009
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
16. MODELING CHANGES TO BACKUPS
8500 Original position
8000 Other Batch Medium (modeled)
7500
Modeled consumption of rescheduled backups
80% of backups now
7000 delayed until 02h00
6500
6000
Saving in hour
5500
5000
4500
4000
MIPS
3500
3000
2500
2000
1500
1000
500
0
Thu 0h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
Tue 0h
Fri 0h
Wed 0h
Mon 0h
Hourly intervals for week starting 30 March 2009
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
17. MODELING CHANGES TO BACKUPS
8500 Original position
8000
Other Batch Medium (modeled)
7500
Modeled rescheduled & uncompressed backups
Assume 50%
7000 compression removed
6500
6000
5500
5000
4500
4000
MIPS
3500
3000
2500
2000
1500
1000
500
0
Thu 0h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
Tue 0h
Fri 0h
Wed 0h
Mon 0h
Hourly intervals for week starting 30 March 2009
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
18. MODELING CHANGES TO BACKUPS
8500 Original position
8000 Unsqueezed Batch Medium (modeled)
7500 Squeezed Batch Medium (modeled) BATMD squeezed to
Modeled rescheduled & uncompressed backups
7000 5000 MIPS
6500
6000
5500
5000
4500
4000
MIPS
3500
3000
2500
2000
1500
1000
500
0
Thu 0h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
4h
8h
12h
16h
20h
Tue 0h
Fri 0h
Wed 0h
Mon 0h
Hourly intervals for week starting 30 March 2009
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
19. SYSTEM SETUP - MONITORS & TRACES
• The way to reduce CICS Trace overhead is to turn
off the all options you can
• Default for standard trace in CICS is level 1 for all
components (STNTRxx = 1 in SIT)
• Trace points from most of these domains are of no
use in debugging application problems
• For most sites application problems can be
diagnosed with trace running for application (AP),
EXEC Interface (EI), and File Control (FC) domains
• TMONCICS turns on some trace points (EI, DS, MN,
and ISC).
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
20. SYSTEM SETUP - MONITORS & TRACES
• The only thing you can go with monitors is try to
switch off as many options as you can get away with
TXSTGCOL means that
TMON645 < 4720 .02 .
TMON912 > 968 .17 . TMON GLOBAL TRACE
TMON924 > 5128 .21 . is monitoring transaction
TM2N950 > 11288 .19 .
TM2N952 > 24032 .02 .
storage utilisation. Most
TM2N958 > 8032 .10 . sites won’t be interested
TM2N960 TM2N960 > 13808 3.00 .*** in this, and the default is
TM2N969 > 2336 .08 .
TM2N973 > 4032 .36 . ON
TX2EIIN TXEIIN > 7930 2.28 .**
TX2EIOUT TXEIOUT 68038 1.20 .*
TX2EIOUT TXSTGCOL 856 2.17 .**
TX2EIOUT TXUCFAT 2288 .34 .
-----
TX2EIOUT TOTALS > 71182 3.71
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
21. INVESTIGATING HIGH DB2 ACTIVITY IN CICS
• Use your sampling tool to identify high burning
DBRMs
** SQL CPU USAGE SUMMARY **
SQL SQL STMT EXECUTION TIME/COUNT % CPU TIME
TYPE NAME CNT AVG-TIME TOTAL
……
DBRM NK1K600T 30,306 .0000 09:06:59 21/01/2005 .11 .
DBRM NK1NT0AT 194 .0035 16:31:23 13/04/2005 .12 .
DBRM NK1NT0IT 45 .0043 08:36:15 06/08/2007 .05 .
DBRM NK1NT0NT 18,860 .0027 07:16:23 21/07/2008 8.94 .*************************++++
DBRM NK1NT0OT 17,312 .0027 13:57:17 15/04/2005 11.00 .****************************++++++
DBRM NK1NT00T 0 .0000 08:36:59 06/08/2007 .02 .
DBRM NK1NT03T 131 .0163 15:50:43 09/12/2004 .58 .*
DBRM NK1NT14T 2 .4020 15:07:11 02/06/2006 .22 .
DBRM NK1U30ET 7,147 .0001 15:39:28 27/02/2008 .06 .
…
• Use DB2 Explain to review, and if possible improve
the access path
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
22. FOCUS ON APPLICATION CODE
• Cover simple code changes
• Look for tight loops, definition of index variables
MODULE SECTION PROCEDURE/FUNCTION STARTING PROCEDURE CPU TIME
NAME NAME NAME LOCATION LENGTH TOTAL
.LELIB CEEBINIT CEEVGTSI GET A STACK INCREMENT 13.36
.COBLIB IGZCPAC IGZCFPC COBOL LIBRARY SUBROUTINE 1.97
.COBLIB IGZCPAC IGZCNMV NUMVAL/NUMVAL-C FUNCTION 1.93
.COBLIB IGZCPAC IGZCFCC DYNAMIC CALL MANAGER 1.88
.COBLIB IGZCPAC IGZCFPCX COBOL LIBRARY SUBROUTINE 1.74
RK3DJAMV RK3DJAMV 0292A8 2 1.10
RKJB20 RKJB20 0806EC 2 1.10
RKJB20 RKJB20 0807BC 2 1.06
RK3DJAMV RK3DJAMV 0292D0 2 1.01
RKJB20 RKJB20 019BEC 2 .92
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
23. FOCUS ON APPLICATION CODE
• Offset points to area of code doing basic index
function
IF WSOL-NUCTE-SR > 900 AND < 961
MOVE WPRO TO WPRO5
END-IF.
IF ( WSOL-NUCTE-SR > 200 AND < 225 ) OR WSOL-NUCTE-SR = 298
MOVE WSCL TO WSCL5
END-IF.
• Variables are declared as characters
20 WSOL-NUCTE PIC 9(10) VALUE 0.
20 FILLER REDEFINES WSOL-NUCTE.
25 WSOL-NUCTE-SR PIC 9(3).
25 WSOL-NUCTE-RG PIC 9(7).
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
24. LINGERING RACF OVERHEAD
• RACF overhead is still high
• Noticed odd user sign-on behaviour in CICS logs
• Investigated further with Type 80 RACF records
• Spotted sign-on trend
• Piece together user behavior
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
25. ACCESSING CICS FROM BRANCH DESKTOP
Vtam / GOR Many AORs
TELNET
Application
on desktop
TOR
GOR
CTGs WOR
Websphere
on AIX
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
26. LOGON VIA GOR
Vtam / GOR Many AORs
Connects to TELNET
mainframe Autoinstall Signon
IPADDR : Port NETNAME TERMID ACEE
TXN1
No TERMID
Ship Signon
Single
TERMID
business
transaction TERMID ACEE
TXN1
TXNn
TXNn
CESF
Breaks Delete Signoff
connection
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
27. LOGON VIA GOR
Vtam / GOR Many AORs
TELNET
TERMID ACEE
IPADDR : New = NEW = NEW = NEW
Port number NETNAME TERMID ACEE
OVERHEAD
TXN1
No TERMID
Next Ship
Business TERMID
Transaction = NEW = NEW
TXN1
TERMID ACEE
TXNn
TXNn
CESF
Breaks Delete Signoff
connection
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
28. IDEAL LOGON VIA GOR
Vtam / GOR Many AORs
TELNET
First NETNAME TERMID ACEE
business
transaction TXN1
Ship TERMID
TERMID ACEE TXN1
TXNn
TXNn
Single
TXNn
Business
Day TXNn
Subsequent TXNn
business TXNn
transactions
TXNn
TXNn
TXNn
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
29. MEASURING RESULTS ON A REGION BASIS
• A key success point for early opportunities was building
confidence within the technical and operational areas
• Opportunies were measured at a very granular level to prove
the effectiveness
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
30. MEASURING SYSTEM WIDE RESULTS
Transactions per hour
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
31. SUMMARY OF OPPORTUNITIES RAISED
Number of Savings to 4HRA Savings to 4HRA
Opportunities at midday in batch peak
Move
6 200 MIPS 890 MIPS
workloads
System
43 1,940 MIPS 210 MIPS
settings
Application
29 244 MIPS 330 MIPS
changes
Access path
34 1,010 MIPS 110 MIPS
improvements
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
32. RESULTS OVER THE PROJECT LIFETIME
CICS CPU hours consumed in the month
Millions of transactions in the month
Start of tuning
implementations
+ 35%
- 13%
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
33. CONTINUE TO FOCUS WHERE IT MATTERS
Less batch Peak load around 800 Large midday Batch
7000 TSO
throughout MIPS lower running 38% batch suite Online
6500
the day more transactions now at 13h00 STC
System
6000 Uncaptured
5500 4HRA
5000
4500
4000
3500
MIPS
3000
2500
2000
1500
1000
500
0
08h00
08h30
09h00
09h30
10h00
10h30
11h00
11h30
12h00
12h30
13h00
13h30
14h00
15 minute intervals for Tuesday 2 March 2010
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
35. SUMMARY OF OPPORTUNITIES RAISED
Number of Savings to 4HRA Savings to 4HRA
Opportunities at midday in batch peak
Move
6 200 MIPS 890 MIPS
workloads
System
43 1,940 MIPS 210 MIPS
settings
Application
29 244 MIPS 330 MIPS
changes
Access path
34 1,010 MIPS 110 MIPS
improvements
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
36. A KEY TO SUCCESS - AREAS REVIEWED
We covered everything that runs on Other vendors concentrate on application
the system code base only
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
37. SUMMARY
• You need to establish the business reason for
tuning
• Focus where it will achieve the impact you want
• Start with big initiatives to gain momentum
• Take an iterative approach
• Track & publish results
• Keep reminding yourself what the goal is
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.
38. WHAT BENEFIT WILL CPT ENGAGEMENT
DELIVER?
• Your organization will make more profit
• Your organization will be able to grow without acquiring
more hardware
• The service that you provide to your customers will be in
more scalable, reliable and cost effective way
•Proibida cópia ou divulgação sem
permissão escrita do CMG Brasil.