This appendix provides guidelines for the recommended minimum hardware requirements to achieve daily service. Use these guidelines to calculate the required hardware for the Oracle Communications Design Studio users to whom you will distribute a preconfigured installation. As vendors continuously update their hardware models, check vendor web sites for the latest models and specifications.
All hardware estimates are guidelines based on Oracle Communications performance lab testing and deployment experience. Use the following procedure to determine the recommended minimum hardware required to achieve daily service:. Review the number of atomic actions, the OSM order complexity, and the number of services in all of your application cartridges. The number and type of these entities determine whether your implementation falls into the small, medium, or large category. Use the Design Studio requirement score to determine the hardware size category that your installation requires.
Table A-1 illustrates how Oracle defines Design Studio implementation size definitions, based on the total number of entities of all application cartridges. To help determine your hardware requirements, a Design Studio requirement score is applied to each application implementation size. Use Table A-2 to determine your total Design Studio hardware requirement score. The sum of the Design Studio hardware requirement scores for all application cartridges determines the hardware size category for your installation.2020 toyota tacoma mods
Table A-3 displays the ranges for each hardware requirement size category. The minimum hardware requirement recommendation for your installation is determined by the hardware sizing category. See the following topics for more information:. Table A-4 displays the minimum hardware requirements recommended for the small hardware sizing category, based on the Intel Core 2 Duo Processor P Series, with two cores and two threads. Table A-5 displays the hardware requirements recommended for the medium hardware sizing category, based on the Intel Xeon Processor Series, with four cores and four threads.
Table A-6 displays the hardware requirements recommended for the large hardware sizing category, based on the Intel Xeon Processor Series, with four cores and four threads.
In this example, you can determine that total number of atomic actions is equal to a medium size implementation, as defined in Table A In this example, consider that there are 88 order data nodes and task data nodes. The order complexity is the sum of the order data and task data nodes, or The order complexity iswhich is equal to a small size implementation, as defined in Table A The number of UIM services is 26, which is equal to a small size implementation, as defined in Table A Each application implementation received a requirement score of 2, the sum of which is equal to a total score of 6.
In this example, the hardware sizing category is medium, as defined in Table A For this example, the installation falls into the medium size hardware sizing category, and the recommendations are defined in Table A A Hardware Sizing Guidelines This appendix provides guidelines for the recommended minimum hardware requirements to achieve daily service.
Note: The sizing estimates contained in this chapter are based on the assumptions of proper application configuration and tuning, in a manner consistent with leading practices of Oracle Communications consulting and performance engineering. This information is provided for informational purposes only and is not intended to be, nor shall it be construed as a commitment to deliver Oracle programs or services. This document shall not form the basis for any type of binding representation by Oracle and shall not be construed as containing express or implied warranties of any kind.
You understand that information contained in this document will not be a part of any agreement for Oracle programs and services. Business parameters and operating environments vary substantially from customer to customer and as such not all factors, which may impact sizing, have been accounted for in this documentation.
Hardware Sizing Guidelines Overview Use the following procedure to determine the recommended minimum hardware required to achieve daily service: Review the number of atomic actions, the OSM order complexity, and the number of services in all of your application cartridges. Calculate your Design Studio requirement score for the implementation size. Refer to the minimum hardware requirements for your hardware size category.
See "Recommended Minimum Hardware Requirements" for more information. Design Studio Implementation Size Definitions Table A-1 illustrates how Oracle defines Design Studio implementation size definitions, based on the total number of entities of all application cartridges.Comment 0. Before we get started with a sizing exercise, we need to understand that the following will impact the accuracy of our metrics:.
The following are the most important standard guidelines and criteria for hardware or server sizing.
Please note that these guidelines are for the server that hosts the application. They do not contain any database sizing guidelines. By considering a buffer, you may be able to compute the disk space. While doing the sizing exercise, you can provide various tabulated forms as the result for each of the possible environments.
Alternatively, you may choose to present a single tabulated result mentioning the environment for which you are providing this sizing. You may mention the additional constraints that may be applicable across environments.
It is important that the buffer may be added to each of the computed attributes, keeping in mind the cost and future extensibility. Most come to a conclusion that hardware is inexpensive these days, so we can recommend something that is beyond the best possible maximum load.Gatech ece 4130
Though this may work almost always, we may not be able to come out with a possible minimum estimate with least cost. Coming out with the estimates and keeping this in mind will equip us to better understand the future issues that various functional and non-functional aspects may cause. This is especially if we want to achieve maximum efficiency under the constraints for all possible loads. For example, if we were to achieve this in the development, testing, or UAT environments, we may be able to point out the memory leak that would have manifested itself due to an incorrect development practice or deployment strategy.
Sometimes, we may also end giving an inflated estimate for an otherwise small system. The resources may go unused if we go with the former approach. Before I take you to the tabulation, there are a few terms that need to be defined.
User think time : The time that the user is not engaged in the actual use of the processor the time between requests. This is used interchangeably with user wait time. In reality, however, this has a slightly different impact, as it involves the time required by a user for thinking and performing their next action in the application either due to the response or otherwise.
Concurrent users : The number of users measured on the server, taken in snapshots from the server status or server console. Service time : The elapsed time to complete the operation measured for a single user. User wait times : The time elapsed between actions or clicks for a given user. This is used interchangeably with user think time.
In reality, however, this has a slightly different impact, as it involves the time required by a user for analyzing or reading data received between requests, as well as performing other tasks such as reading email, using the telephone, and chatting with a colleague or on other applications simultaneously running.
The load balancing, data clustering, failover strategy, and backup strategy are not planned for due to the nature of the system. This recommendation is for the development environment. It is best that the above is used and emulated for any development or testing. For production or UAT environments, the considerations with our recommendations in brackets related to the following:.
Please do take a look at the reference links, which can be used to get the best results for your hardware sizing and capacity planning exercises.Landscape has ERP 4. Performance values of the system are available. I guess quicksizer is for initial sizing and not upgrade sizing.
Hardware Sizing for Java/Java EE Products
In the case of upgrade sizing, is there a way this can be done in house? For ERP there are notes released that suggest an approximate increase when going from one release to another. But there doesnt seem to be any such guideline for other solutions. When performance statistics like DB size, average increase in DB size, response time etc are available, how to go about calculating the approximate sizing?
The question I am asking is about sizing the project when you already have the performance values. The sizing guides suggest methods to find the performance values but the exact way to compute the target requirements is unclear. You should be able to get the Memory requirement and DB requirement for the application.
Once you have the results from quicksizer compare it with your source environment R3 4. For the DB space requirementyou can run prepare on the source system. As part of the Checks Phase it would clearly tell you what the space requirement would be. You would need to create and extend few tablespaces.
Remember memory tuning is an ongoing process throughout the upgradesap provides recommendations which are available in SMPthat would be a good start too. Increase in DB size is always a little more difficult to analyse, just just to upgrade without any functional changes you are not looking a big increases. With prices of disk these days I'd estimate around GB per instance but you may need quite a lot of additional temporary space.
From a sizing point of view, try and find your current hardware in sap benchmark pages www.Sizing Cloud with RAM, Storage, CPUs
Then you need to look at how big an upgrade step you are doing. Any additional functionality will require a sizing of that functionality in quick sizer and then added to the result above.
Take your result and compare it to the hardware you are running. This will help me to know the requirement of database space required for upgrade. Not what you're looking for? Search community questions. This question has been deleted. This question has been undeleted. Former Member. Posted on Dec 11, at AM 85 Views. Could you please guide me in getting an approximate hardware sizing for an upgrade landscape? Please help.Richiesta amicizia facebook notifica
This guide helps you to determine the hardware needs for a specific solution, or to find an upper and lower estimate for the hardware requirements. Managing - Further Reference. Architecture A typical AEM setup consists of an author and a publish environment.
These environments have different requirements regarding the underlying hardware size and system configuration. Detailed considerations for both environments are described in the author environment and publish environment sections. In a typical project setup, you have several environments on which to stage project phases:.
Development environment To develop new features or make significant changes. Best practise is to work using a development environment per developer usually local installations on their personal systems. Author test environment To verify changes. The number of test environments can vary depending on the project requirements for example, separate for QA, integration testing, or user acceptance testing. Additionally the environments may vary, ranging from a single-server system running AEM and an application server, through to a highly scaled set of multi-server, multi-CPU clustered instances.
We recommend that you use a separate computer for each production system and that you do not run other applications on these computers. Generic hardware sizing considerations The sections below provide guidance on how to calculate hardware requirements, taking various considerations into account.
For large systems we suggest that you perform a simple set of in-house benchmark tests on a reference configuration. Performance optimization is a fundamental task that needs to be performed before any benchmarking for a specific project can be done.Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Some features of this site may not work without it. Hardware Sizing for Software Application. Issue Date Author Swaminathan, Ganesh. Type Project.
Hardware sizing decision tree
Metadata Show full item record. Abstract Hardware sizing is an approximation of the hardware resources required to support a software implementation.
Just like any theoretical model, hardware sizing model is an approximation of the reality. Depending on the infrastructure needs, workload requirements, performance data and turn around time for sizing, the study Sizing or Capacity Planning can be approached differently. The most common method is to enter all the workload-related parameters into a modeling tool that is built using the results of workload simulation on different hardware.
The hardware and software requirements are determined by the mathematical model underlying the tool. However, in real-life there is a need to predict the capacity when budgeting hardware, assessing technical risk, validating technical architecture, sizing packaged applications, predicting production system capacity requirements, and calculating the cost of the project.
These scenarios call for a quick way to estimate the hardware requirements.Jamie thornton atc
When dealing with prospects, there is a need to come up with credible and accurate sizing estimates without spending a lot of time. One of the challenges faced by Kronos is the amount of effort and time spent in hardware sizing for prospective customers. Typically, a survey process collects the workload related parameters and feeds the sizing tool, which uses the performance model based on benchmark test results to produce the hardware recommendations.
Although this process works great for customers, it is a time consuming activity due to the collection and validation of large number of independent variables involved in the current sizing model. This project makes an attempt to delve into alternate methods for producing quick sizing.
By combining the empirical data collected from various production systems and simple statistical technique, relationship between sizing factors and CPU rating can be established. This can be used to create a simple model to produce a quick, easy and credible recommendation when sizing new customers.
Collections Engineering Management Field Projects . Search KU ScholarWorks. This Collection. Login Register.Caution: This guide is provided as a general example guide only, based on various assumptions. The marketing instance is the portion of the Adobe Campaign architecture that drives all marketing activity, and stores all recipient data and analytic data returned by campaigns.
The information in this document do not apply if you are using a fully hosted Adobe Campaign instance deployed in Adobe Cloud Servicesnor do they apply to Adobe Campaign Standard.
Software compatibility is detailed in the Compatibility Matrix. Deployment diagrams and hardware sizing recommendations are provided for three representative scenarios:. Campaign is a database-centric application, and database server performance is critical. Running workflows, segmentation, tracking data uploads, inbound Interactions, analytics and other activities all generate database activity.
In general, the size and frequency of these operations determine the size of your database servers. Campaign web applications can also be deployed on the marketing instance app servers, or on separate web server systems.
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Since web application workloads conflict with critical workflows and Campaign Console users, web applications and inbound interactions can be deployed to separate servers, to ensure that core Campaign functionality runs reliably with good performance. For security and availability, Adobe recommends separating the traffic of the Internet from the traffic generated by the business users.
For that reason, the diagrams contain tow groups of servers: the Web server Internet facing Web1 and Web2and the App servers business processes App1 and App2. It is a legal requirement for commercially email senders to have a functional opt-out web page. Adobe recommends having redundant machine in each group server for fail-over scenarios. It is especially true if Adobe Campaign hosts the opt-out pages. The hardware recommendation above is applicable only if you decide to go with the Adobe Campaign reverse proxy.
Adobe provides you with the exclusive list of URL paths that can be relayed to the Adobe Campaign server in your deployment environment. The general architecture is almost identical regardless of the volumes.Diacritice in vlc
The difference in the configuration mainly varies in the hardware configuration like CPU core and memory. The appserver 2 has the same outbound connection as App server1. They were omitted for readability. These systems create the marketing instance Application Server, which directly supports your Campaign Console users and executes the campaign workflows.Some of the most common questions we hear about cabinet hardware are, "What size do I get?
While there are no hard and fast rules of what is right and wrong, there are some general guidelines that can be followed to ensure your hardware is proportional and well placed on your cabinets. The first decision you must make is if you'd like to use knobs, pulls, or a mixture.
There are four options we recommend:.Ecoatm promo code august 2019
All Knobs. Knobs are typically small in size, giving them a more subtle appearance than pulls. If you have stunning cabinetry, or a beautiful backsplash that you'd prefer to have shine, you may want to choose knobs.
All Pulls. Choosing pulls has a number of benefits. First, pulls are typically a little easier to use than knobs, making them an excellent choice for homes with weak or arthritic hands.
Pulls also reduce the amount of contact your hands have with your cabinets, which helps to keep your cabinetry clean. Lastly, pulls are available in a wider selection of designs than knobs. With so many unique designs, it is easy to give your cabinets a designer touch.
Knobs on Uppers, Pulls on Lowers. For the best of both worlds, use a mixture of knobs and pulls. To make the combination look harmonious, we suggest one of two options.
The first suggestion is to put knobs on all upper cabinets and pulls on all lower cabinets. Knobs on Doors, Pulls on Drawers. The second option we recommend if using a combination of knobs and pulls is to put knobs on all doors and pulls on all drawers. Note that neither option mentioned is more superior than the other.
It simply comes down to personal preference. So you've decided between knobs and pulls, now you must pick a size. So, which should you pick? For a minimalist look, size down. For an impressionable oversized appearance, choose something larger. Pull sizing is where it can be tricky.
There are many options for sizes and many configurations to choose from. Our go-to recommendations are below. Keep in mind that the longer the pull, the more contemporary the appearance.
Consistent Size Throughout. One of the most popular options is to pick one size and use it throughout your cabinetry. This size looks pleasing on most cabinets, while still being large enough to grip comfortably.
Their slightly longer length offers a more updated appearance, while still being small enough to fit onto narrow drawers.
If you choose to use a smaller size throughout, we highly recommend using two pulls on wide drawers.