標(biāo)題: Titlebook: Cloud Service Benchmarking; Measuring Quality of David Bermbach,Erik Wittern,Stefan Tai Textbook 2017 Springer International Publishing AG [打印本頁] 作者: 櫥柜 時(shí)間: 2025-3-21 19:00
書目名稱Cloud Service Benchmarking影響因子(影響力)
書目名稱Cloud Service Benchmarking影響因子(影響力)學(xué)科排名
書目名稱Cloud Service Benchmarking網(wǎng)絡(luò)公開度
書目名稱Cloud Service Benchmarking網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cloud Service Benchmarking被引頻次
書目名稱Cloud Service Benchmarking被引頻次學(xué)科排名
書目名稱Cloud Service Benchmarking年度引用
書目名稱Cloud Service Benchmarking年度引用學(xué)科排名
書目名稱Cloud Service Benchmarking讀者反饋
書目名稱Cloud Service Benchmarking讀者反饋學(xué)科排名
作者: calumniate 時(shí)間: 2025-3-21 21:05 作者: 鴿子 時(shí)間: 2025-3-22 02:51 作者: 嫌惡 時(shí)間: 2025-3-22 06:32
Motivations aims to measure. In this chapter, we focus on the different motivations for cloud service benchmarking, including SLA management, continuous quality improvement, and organizational process proficiency. Depending on the motivation, benchmarking will be used in different phases of an application life作者: Vasoconstrictor 時(shí)間: 2025-3-22 10:38
Design Objectives design effective cloud service benchmarks. In this chapter, we introduce the traditional key objectives of benchmark design, e.g., reproducibility, fairness, or understandability, and discuss why they are important. We then describe how these objectives need to change in the context of cloud servic作者: 帶子 時(shí)間: 2025-3-22 13:53 作者: 帶子 時(shí)間: 2025-3-22 18:22
Workloadsives from chapter 5. When using these methods to gain measurement data, we will need to generate stress for the system under test. This stress is typically referred to as workload for most system qualities. In this chapter, we will, hence, give an overview of the basic principles behind workload des作者: GLUE 時(shí)間: 2025-3-22 22:24 作者: strdulate 時(shí)間: 2025-3-23 01:58 作者: 額外的事 時(shí)間: 2025-3-23 08:31
Turning Data into Insightsg data, which to some degree co-occurs with benchmark execution. We now shift our focus on what to do with the resulting data. In this chapter, we start by introducing the general process for gaining insights from benchmarking data through preprocessing and analysis. We differentiate two fundamental作者: 功多汁水 時(shí)間: 2025-3-23 12:58
Data PreprocessingHowever, any analysis efforts will be limited by the quality of the input data. Therefore, in this chapter, we introduce data preprocessing methods that enhance data quality for later analysis steps.We start by outlining the characteristics of cloud benchmarking data, which affect the selection of p作者: 名義上 時(shí)間: 2025-3-23 17:26 作者: gait-cycle 時(shí)間: 2025-3-23 20:40
Using Insights on Cloud Service Qualityhey still need to be used for some purpose. In this chapter, we discuss two ways for leveraging insights from cloud service benchmarking. First, we describe how these insights can be communicated to interested parties. Second, we describe through examples how these insights can drive actions, e.g., 作者: ORE 時(shí)間: 2025-3-24 00:05 作者: 拱形面包 時(shí)間: 2025-3-24 05:15
Schulorte und Raumgefüge informellen Lernenses and cloud-based systems. Finally, we also discuss how concrete benchmarks may have to compromise one objective to reach another one and describe how the use of cloud services, both as system under test and as experimentation testbed, can influence these objectives.作者: HARD 時(shí)間: 2025-3-24 09:15
Schularchitektur und rituelle Raumpraktikenunning experiments, namely, ensuring that the required resources are readily available when needed. We then dive into addressing challenges that occur directly before, during, and after running an experiment, including challenges associated with collecting benchmarking data, data provenance, and storing data.作者: 多嘴多舌 時(shí)間: 2025-3-24 14:29 作者: 遍及 時(shí)間: 2025-3-24 17:06
https://doi.org/10.1007/978-3-322-95122-9when deciding on cloud service selection and configuration, or ultimately how to design applications that can either compensate for or leverage particular quality characteristics of underlying services.作者: 惹人反感 時(shí)間: 2025-3-24 19:28
rough the process of designing, implementing and executing a.Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with 作者: Longitude 時(shí)間: 2025-3-25 02:17 作者: 確定的事 時(shí)間: 2025-3-25 03:50 作者: BILK 時(shí)間: 2025-3-25 07:30 作者: 玉米 時(shí)間: 2025-3-25 12:34 作者: 使激動(dòng) 時(shí)間: 2025-3-25 19:32
Schularchitektur und rituelle Raumpraktikenud service benchmarks. Even based on a careful benchmark design considering all design objectives, the actual benchmark implementation can still run afoul of the goals initially set. In this chapter, next to outlining implementation objectives, we provide concrete examples on how they can be achieved in practice.作者: Malfunction 時(shí)間: 2025-3-25 20:49
Steuerung als Element von Schulentwicklung,rt by introducing the general process for gaining insights from benchmarking data through preprocessing and analysis. We differentiate two fundamental approaches of data analysis, which depend on the benchmark’s original motivation. We end this chapter by providing an overview and discussion of different types of data analysis tools.作者: Pituitary-Gland 時(shí)間: 2025-3-26 04:01 作者: Allege 時(shí)間: 2025-3-26 04:35
Introductiones’ quality characteristics. We furthermore introduce the idea of using cloud services as a testbed for benchmarking. Finally, at the end of this chapter, we provide an overview of the remainder of this book.作者: 少量 時(shí)間: 2025-3-26 11:58 作者: Inordinate 時(shí)間: 2025-3-26 12:46
Motivationsimprovement, and organizational process proficiency. Depending on the motivation, benchmarking will be used in different phases of an application lifecycle or may even be entirely decoupled from a concrete application. We also discuss how the different motivations affect the various benchmarking phases.作者: HILAR 時(shí)間: 2025-3-26 20:33 作者: CODA 時(shí)間: 2025-3-27 00:26 作者: GUEER 時(shí)間: 2025-3-27 03:30
Turning Data into Insightsrt by introducing the general process for gaining insights from benchmarking data through preprocessing and analysis. We differentiate two fundamental approaches of data analysis, which depend on the benchmark’s original motivation. We end this chapter by providing an overview and discussion of different types of data analysis tools.作者: Antarctic 時(shí)間: 2025-3-27 05:43 作者: 場所 時(shí)間: 2025-3-27 10:22 作者: Conclave 時(shí)間: 2025-3-27 17:24 作者: LAIR 時(shí)間: 2025-3-27 21:04
Data Preprocessingresented preprocessing methods as well as the selection of analysis methods presented in the next chapter. We then introduce concrete preprocessing methods for data selection, dealing with missing values, resampling of data, and data transformation.作者: 動(dòng)脈 時(shí)間: 2025-3-28 01:27
Using Insights on Cloud Service Qualitywhen deciding on cloud service selection and configuration, or ultimately how to design applications that can either compensate for or leverage particular quality characteristics of underlying services.作者: 抒情短詩 時(shí)間: 2025-3-28 05:23
Textbook 2017n and engineering of complex software architectures that use such services. Starting with a broad introduction to the field, this book guides readers step-by-step through the process of designing, implementing and executing a cloud service benchmark, as well as understanding and dealing with its res作者: 極端的正確性 時(shí)間: 2025-3-28 09:44
https://doi.org/10.1007/978-3-319-55483-9Cloud Computing; Software performance; Benchmarks; Software quality; Experimentation; Data analysis作者: 過渡時(shí)期 時(shí)間: 2025-3-28 12:11 作者: 使乳化 時(shí)間: 2025-3-28 17:57
Zusammenfassung der Fallstudien, terms and concepts. We start with discussing what cloud services, cloud service qualities, and cloud service benchmarking are, before differentiating benchmarking from the related practice of monitoring. Finally, we provide an overview of the essential components of cloud service benchmarking tools.作者: 極少 時(shí)間: 2025-3-28 22:22
Ingrid Kellermann,Christoph Wulfd to assign values to a quality of interest in cloud service benchmarking. We especially focus on how disregarding these properties may (negatively) affect benchmark results. After providing examples of existing quality metrics, we present development strategies for both quality metrics and measurement methods.作者: 搖晃 時(shí)間: 2025-3-29 02:27
https://doi.org/10.1007/978-3-322-95122-9ntal analysis approaches. In both approaches, a plethora of concrete data analysis methods can be used. In this chapter, we provide an overview of select data analysis methods used to gain insights from benchmarking data and exemplify their application.作者: 發(fā)源 時(shí)間: 2025-3-29 04:40
Viviane Albers,Tijs Bolz,Manfred Wittrock For that purpose, we introduce our notion of cloud services and discuss how cloud service benchmarking can be used to gain insights into these services’ quality characteristics. We furthermore introduce the idea of using cloud services as a testbed for benchmarking. Finally, at the end of this chap作者: GRACE 時(shí)間: 2025-3-29 09:08
Zusammenfassung der Fallstudien, terms and concepts. We start with discussing what cloud services, cloud service qualities, and cloud service benchmarking are, before differentiating benchmarking from the related practice of monitoring. Finally, we provide an overview of the essential components of cloud service benchmarking tools作者: 放牧 時(shí)間: 2025-3-29 12:15
Schulabsentismus und Schuldropoutking aims to describe. We start by defining what quality is, both generally and in the context of cloud services, and by giving examples of such qualities. We then describe how distinct qualities are never isolated but rather form complex dependency graphs through direct and indirect tradeoffs and, 作者: Pelago 時(shí)間: 2025-3-29 16:55
Empirischer Zugang zum Forschungsfeld, aims to measure. In this chapter, we focus on the different motivations for cloud service benchmarking, including SLA management, continuous quality improvement, and organizational process proficiency. Depending on the motivation, benchmarking will be used in different phases of an application life作者: 發(fā)酵劑 時(shí)間: 2025-3-29 21:45 作者: Dealing 時(shí)間: 2025-3-30 00:22 作者: dissolution 時(shí)間: 2025-3-30 04:53 作者: 透明 時(shí)間: 2025-3-30 10:45 作者: seruting 時(shí)間: 2025-3-30 13:59
Schularchitektur und rituelle Raumpraktikenimplementation at hand, it can be used to run actual experiments. In this chapter, we discuss how to deploy, set up, and run such experiments. For this purpose, we start by outlining the typical process underlying experiment setup and execution. Afterwards, we discuss an important precondition for r作者: 虛度 時(shí)間: 2025-3-30 17:15
Steuerung als Element von Schulentwicklung,g data, which to some degree co-occurs with benchmark execution. We now shift our focus on what to do with the resulting data. In this chapter, we start by introducing the general process for gaining insights from benchmarking data through preprocessing and analysis. We differentiate two fundamental作者: CRANK 時(shí)間: 2025-3-30 23:18
