1. granularity https://store.theartofservice.com/the-granularity-toolkit.html

2. Metadata - Granularity 1 Hence granularity shall take into account the effort to create as well as the effort to maintain. https://store.theartofservice.com/the-granularity-toolkit.html

3. Profiling (computer programming) - Data granularity in profiler types 1 Profilers, which are also programs themselves, analyze target programs by collecting information on their execution. Based on their data granularity, on how profilers collect information, they are classified into event based or statistical profilers. Since profilers interrupt program execution to collect information, they have a finite resolution in the time measurements, which should be taken with a grain of salt. https://store.theartofservice.com/the-granularity-toolkit.html

4. Metadata (computing) - Granularity 1 Hence granularity shall take into account the effort to create as well as the effort to maintain. https://store.theartofservice.com/the-granularity-toolkit.html

5. Lock (computer science) - Granularity 1 Before being introduced to lock granularity, one needs to understand three concepts about locks. https://store.theartofservice.com/the-granularity-toolkit.html

6. Lock (computer science) - Granularity 1 Conversely, using a fine granularity (a larger number of locks, each protecting a fairly small amount of data) increases the overhead of the locks themselves but reduces lock contention https://store.theartofservice.com/the-granularity-toolkit.html

7. Lock (computer science) - Granularity 1 In a database management system, for example, a lock could protect, in order of decreasing granularity, part of a field, a field, a record, a data page, or an entire table. Coarse granularity, such as using table locks, tends to give the best performance for a single user, whereas fine granularity, such as record locks, tends to give the best performance for multiple users. https://store.theartofservice.com/the-granularity-toolkit.html

8. Process modeling - By granularity 1 Granularity refers to the level of detail of a process model and affects the kind of guidance, explanation and trace that can be provided. Coarse granularity restricts these to a rather limited level of detail whereas fine granularity provides more detailed capability. The nature of granularity needed is dependent on the situation at hand. https://store.theartofservice.com/the-granularity-toolkit.html

9. Process modeling - By granularity 1 While notations for fine-grained models exist, most traditional process models are coarse-grained descriptions. Process models should, ideally, provide a wide range of granularity (e.g. Process Weaver).C. Fernström and L. Ohlsson (1991). Integration Needs in Process Enacted Environments, Proc. 1st Int. Conf. on the Software Process. IEEE computer Society Press. https://store.theartofservice.com/the-granularity-toolkit.html

10. Granularity 1 'Granularity' is the extent to which a system is broken down into small parts, either the system itself or its description or observation. It is the extent to which a larger entity is subdivided. For example, a yard broken into inches has finer granularity than a yard broken into feet. https://store.theartofservice.com/the-granularity-toolkit.html

11. Granularity 1 The terms 'granularity', 'coarse', and 'fine' are relative, used when comparing systems or descriptions of systems. An example of increasingly fine granularity: a list of nations in the United Nations, a list of all states/provinces in those nations, a list of all cities in those states, etc. https://store.theartofservice.com/the-granularity-toolkit.html

12. Granularity 1 The terms fine and coarse are used consistently across fields, but the term granularity itself is not. For example, in investing, more granularity refers to more Position (finance)|positions of smaller size, while photographic film that is more granular has fewer and larger chemical grains. https://store.theartofservice.com/the-granularity-toolkit.html

13. Granularity - Computing 1 In parallel computing, granularity means the amount of computation in relation to communication, i.e., the ratio of computation to the amount of communication. https://store.theartofservice.com/the-granularity-toolkit.html

14. Granularity - Computing 1 The finer the granularity, the greater the potential for parallelism and hence speed- up, but the greater the overheads of synchronization and communication.[http://foldoc.doc.ic.ac.uk/f oldoc/foldoc.cgi?granularity FOLDOC] https://store.theartofservice.com/the-granularity-toolkit.html

15. Granularity - Computing 1 In order to attain the best parallel performance, the best balance between load and communication overhead needs to be found. If the granularity is too fine, the performance can suffer from the increased communication overhead. On the other side, if the granularity is too coarse, the performance can suffer from load imbalance. https://store.theartofservice.com/the-granularity-toolkit.html

16. Granularity - Data granularity 1 The granularity of data refers to the size in which data fields are sub-divided. For example, a postal address can be recorded, with coarse granularity, as a single field: https://store.theartofservice.com/the-granularity-toolkit.html

17. Granularity - Data granularity 1 or with fine granularity, as multiple fields: https://store.theartofservice.com/the-granularity-toolkit.html

18. Granularity - Data granularity 1 or even finer granularity: https://store.theartofservice.com/the-granularity-toolkit.html

19. Granularity - Data granularity 1 A performance problem caused by excessive granularity may not reveal itself until scalability becomes an issue. https://store.theartofservice.com/the-granularity-toolkit.html

20. Granularity - Credit portfolio risk management 1 In credit portfolio risk modeling, granularity refers to the number of the exposures in the portfolio. The higher the granularity, the more positions are in a credit portfolio, providing a higher degree of size diversification, which in turn reduces concentration risk. This is colloquially known as not putting all your eggs in one basket. https://store.theartofservice.com/the-granularity-toolkit.html

21. Granularity - Photographic film 1 In photography, granularity is a measure of film grain. It is measured using a particular standard procedure but in general a larger https://store.theartofservice.com/the-granularity-toolkit.html

22. Granularity - Business 1 For example, granularity has been written about in the book, The Granularity of Growth: Making choices that drive enduring company performance https://store.theartofservice.com/the-granularity-toolkit.html

23. XML pipeline - Pipe granularity 1 Different XML Pipeline implementations support different granularity of flow. https://store.theartofservice.com/the-granularity-toolkit.html

24. Interaction technique - Level of granularity 1 In contrast, viewed at higher levels of granularity, interaction is not tied to to any specific technology or platform https://store.theartofservice.com/the-granularity-toolkit.html

25. Record locking - Granularity of locks 1 A higher degree of Granularity#Computing|granularity is achieved if each individual account may be taken by a clerk. This would allow any customer to be serviced without waiting for another customer who is accessing a different account. This is analogous to a record level lock and is normally the highest degree of locking granularity in a database management system. https://store.theartofservice.com/the-granularity-toolkit.html

26. Service Granularity Principle 1 'Service Granularity' is a design principle that identifies the optimal scope of business functionality in a web service|service operation. https://store.theartofservice.com/the-granularity-toolkit.html

27. Service Granularity Principle - Interpretation 1 The four key factors to consider when designing for optimal granularity are performance, message size, transaction and business function. https://store.theartofservice.com/the-granularity-toolkit.html

28. Architecture of Interoperable Information Systems - Levels of technical granularity 1 The description of system elements on different levels of technical granularity supports a systematic development of collaborative information systems, starting with the business requirements definition and going all the way down to the code level https://store.theartofservice.com/the-granularity-toolkit.html

29. Film grain - RMS granularity 1 Granularity, or RMS granularity, is a numerical quantification of film-grain noise, equal to the root-mean-square (rms) fluctuations in optical density, measured with a densitometer|microdensitometer with a 0.048mm (48-micrometre) diameter circular aperture, on a film area that has been exposed and normally developed to a mean density of 1.0 D (that is, it transmits 10% of light incident on it). https://store.theartofservice.com/the-granularity-toolkit.html

30. Film grain - RMS granularity 1 Granularity is sometimes quoted as diffuse RMS granularity times 1000, so that a film with granularity 10 means an rms density fluctuation of 0.010 in the standard aperture area. https://store.theartofservice.com/the-granularity-toolkit.html

31. Film grain - RMS granularity 1 When the particles of silver are small, the standard aperture area measures an average of many particles, so the granularity is small. When the particles are large, fewer are averaged in the standard area, so there is a larger random fluctuation, and a higher granularity number. https://store.theartofservice.com/the-granularity-toolkit.html

32. Film grain - Selwyn granularity 1 Film grain is also sometimes quantified in a way that is relative independent of size of the aperture through which the microdensitometer measures it, using R. Selwyn's observation (known as Selwyn's law) that, for a not too small aperture, the product of RMS granularity and the square root of aperture area tends be independent of the aperture size. The Selwyn granularity is defined as: https://store.theartofservice.com/the-granularity-toolkit.html

33. Multiple granularity locking 1 In computer science, 'multiple granularity locking' (MGL) is a locking method used in database management systems (DBMS) and relational databases. https://store.theartofservice.com/the-granularity-toolkit.html

34. Multiple granularity locking 1 Multiple granularity locking is usually used with non-strict two-phase locking to guarantee serializability. https://store.theartofservice.com/the-granularity-toolkit.html

35. Multiple granularity locking - Lock Modes 1 Determining what level of granularity to use for locking is done by locking the finest level possible (at the lowest leaf level), and then escalating these locks to higher levels in the file hierarchy to cover more records or file elements as needed. This process is known as Lock Escalation. https://store.theartofservice.com/the-granularity-toolkit.html

36. Lock (software engineering) - Granularity 1 In a database management system, for example, a lock could protect, in order of increasing granularity, part of a field, a field, a record, a data page, or an entire table. Coarse granularity, such as using table locks, tends to give the best performance for a single user, whereas fine granularity, such as record locks, tends to give the best performance for multiple users. https://store.theartofservice.com/the-granularity-toolkit.html

37. For More Information, Visit: https://store.theartofservice.co m/the-granularity-toolkit.html https://store.theartofservice.co m/the-granularity-toolkit.html The Art of Service https://store.theartofservice.com