Performance Engineering - Essay Example

Engineering performance The daily fundamentals of performance engineering are illustrated by various latest research contracts. That is the contracts awarded in the field of engineering as well as greater support from the scientific partners. Performance engineering got many merits for it provides low costs of todays commodities, computing component and boost advancement of modernized operating systems, as well as the programming languages. Managing the performance In order to boost performance of any system, you will have properly to control the risks that come along with it. The user will have to a decide on how great performance is to be achieved to attain success in the project (Carretero and Garcia). As the user continues to value the performance of a given project so is the time that the user also needs to concentrate on the risks that might lead to the failure of the set project. In addition, there are quality requirements that the user will have to put into consideration. For instance, scalability and performance are two qualities of service requirements. In addition, manageability as well as security are among other quality of the service requirements. The user needs to put into consideration in order to reduce risks as well boost performance of the system at he same time. Furthermore, the user can employ the mechanism of reactive against reactive mechanism in order to ensure that there is improved performance of any given project at a given time(Rangaswami et al.). In most organizations performance level is not in developers consideration until the point where the customer lounges a complaint against the performance standards of that particularly given project. Meaning, for the production, to meet the client’s expectation. Then it has to be frequently evaluated. On the other hand, there are many problems to consider when it comes to the reactive approach (Woodward M). Performance downfalls enter from time to time just from an early stage of the designs and at the same time the design problems can be hard to fix through more efficient coding. In addition, installing architectural problems thereafter in a given cycle is sometimes hard to make. Furthermore, making it at a later stage is not only difficult and complicated but also very costly to the user. Performance is a persistent quality of hardware systems; everything has an impact on it, ranging from software itself to the rest of the underlying layers, such as hardware, system, communications network and middleware. The process involves a performance engineering, which incorporates efforts to explain and better the performance, with two distinct dimensions: a late cycle measurement approach and an early-cycle predictive model-based analysis approach. The present progress and future trends in the two approaches should explain the tendency of the two methods to uniting the whole system. The study shows an outline for recycled hardware drawn from industry and literature research. The framework will entail of two major parts. Firstly, a characterization mechanism for assets that are reusable based on technological definition. It addresses the mechanism to reuse, and, secondly, the process (Kang and Reddy). To engineer for performance, the user will need to implant the culture of performance in development life cycle, and need a process to proceed without much interference. When the engineer has a process to follow and knows the point to start and how to go on with the operation, the user needs to know when to finish. Set Objectives and Measure Performance has to be given the necessary consideration from the beginning. If one view performance to relevant, then user has to consider it in the entire life cycle (OLear and Choy).. The guide improves a structured and repeatable methodology for performance that the user can implant into the application life cycle (Liu). It enables an individual to alleviate performance risk at the beginning of the project. An individual using the system can work towards the set performance objectives, test and design for performance, measure and tune the performance of the entire life cycle. Measuring gives the user an opportunity to know whether the performance is towards the set goals and objectives. Providing clear segmentation assists architects, testers, developers and administrators understand and carry out their responsibilities in the application life cycle Setting Performance Objectives The project’s goals have to include measurable and attainable performance objectives. The set objectives have to be put into consideration from the start, in order to enable one attain the set aims and targets (Rangaswami et al.). Employ the planning phase to manage and control project risk to the right level of the project. The planning stage will entail setting of the goals in advance and budgeting for all programs in advance. Performance goals are unique in terms of the following: The response time; it is the time that it takes the storage system control to act on a given request. Resource utilization; use of resources is the measure of server and network resources that are consumed by the user’s application. Resources entail the memory, disk I/O, CPU and network I/O. Workload; it relates to the available space for storage (Rangaswami et al.). The user can identify the costs of resources on a per scenario basis. Scenarios might entail browsing a product catalog and placing an order. User can also measure resource costs for a given user load, by using a particular workload profile. A workload profile entails of a representative mix of the clients performing various tasks (Wolter). Metrics Metrics are the mechanisms that one employs to ascertain the scenarios against the performance objectives. For instance, users can use the response time, capacity and time as well as and resource utilization as per the metrics. The performance goals for each metric are the value that will be acceptable. Match the actual value of giving parameters, to the objectives to verify that it is meeting or failing to meet the performance goals (Real Performance Management). Knowing the Budgets The funds represent a report on the maximum cost that a particular unit in the project can afford to pay in line with the key performance objectives. User needs to distinguish between budgets with performance targets. For instance, the user might have a budget of a given unit of storage capacity measured in terabytes. If it goes past the defined budget, the storage system fails. Furthermore, the user should set performance goals, four to six seconds to leave room for an amplified load from different sources (Real Performance Management). Also, the user needs to spread the budget between the various functionalities related to the processing the request. Funds are made to be specific depending on the terms of execution time, as well as the resource utilization, but also entail less tangible factors like the program resource costs. The budget will contain the following: Hardware; it will include payments items for the storage disk. Peripheral resource; it will entail details for the casing and protection, the electronic components for the control of the operation of the storage system. The budgeting activity will enable one to determine if the set performance objectives are realistically attainable. Performance has got different meanings to different individuals, but performance and scalability are about meeting the set goals. User set goals, and targets illustrate how long a given operation must take as well as the number resources acceptable for the actions to take at different load levels. The straight method for performance is to ignore it until the positioning time. Nevertheless, many performances related shortfalls introduce a particular design, architecture, and technology choices that one makes at the beginning of the development cycle (Wolter). The decisions of the user are in line, and the application raised, the problems are quite difficult and very expensive to fix. The framework promotes a holistic, life-cycle based mechanism for performance where one engineer for performance from the installation of the design for development, testing, and deployment. The engineering technique revolves around the principle of setting goals and measuring. When measuring performance in the entire life cycle, user will know whether there is hope of attaining the set objectives. An essential tool that will assist an individual in the performance process is the performance modeling technique. In the entire engineering performance, a balanced technique is necessary. A risk management approach will help the user to decide on how far to go into any given profession and helps the user to determine the situation at which further analysis is premature. Work cited Angaiyarkanni, P. A Secure Data Distribution Assessment For Virtual Storage Systems Using JAR File Authentication. IOSR-JCE 8.6 (2013): 49-55. Web. Carretero, Jesus, and J. Daniel Garcia. Scalable Storage Systems And High-Performance Application. The Journal of Supercomputing 51.1 (2010): 1-2. Web. Kahn, Sukwoo, and A. L. Narasimha Reddy. An Approach To Virtual Allocation In Storage Systems. Trans. Storage 2.4 (2006): 371-399. Web. Liu, Angli. Theoretical Analysis For Scale-Down-Aware Service Allocation In Cloud Storage Systems. IJECE 3.1 (2012): n. pag. Web. OLear and Choy. Software Considerations In Mass Storage Systems. Computer 15.7 (1982): 36-44. Web. Rangaswami, Raju et al. Building MEMS-Based Storage Systems For Streaming Media. Trans. Storage 3.2 (2007): 6-es. Web. Real Performance Management. Engineering Management 14.1 (2004): 20-21. Web. Wolter, Katinka. Selected Papers From The European Performance Engineering Workshop 2007. Performance Evaluation 66.8 (2009): 395. Web. Read More