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Security-Enhanced Cloud for Serverless Computing and Its Applications
Published in T. Ananth Kumar, T. S. Arun Samuel, R. Dinesh Jackson Samuel, M. Niranjanamurthy, Privacy and Security Challenges in Cloud Computing, 2022
L. Jerart Julus, Krishnan Ayyappan
The key aim of the life of serverless services is its ability to optimize itself by providing copies of the functions of customers and assigning those copies to each order. There have been no predefined approaches as to where to physically position the copies of functions. Alternatively, inside the service provider, load balancing mechanisms decide on the current usage of computing nodes and the available resources. Computer programs use several cache levels to escape the bottlenecks and latencies of persistent storage. When a feature requests a user’s data from the database, the platform typically caches the data to accommodate any new requests and to reduce the amount of expensive access to the database. It fits well with server services. In a serverless operation, however, the next process execution can be assigned to another accessible computing node that renders the function. The operation of management within serverless providers is a dynamic and resource-demanding task. For each of the infrastructures within the provider, multiple monitoring and provisioning operations are involved. In any computing service, whether serverless or not, security is an important concern.
Introduction to LabVIEW
Published in Rick Bitter, Taqi Mohiuddin, Matt Nawrocki, LabVIEW™ Advanced Programming Techniques, 2017
Rick Bitter, Taqi Mohiuddin, Matt Nawrocki
Many programmers use initialization files for use with their applications. LabVIEW supplies a set of interfaces to read and write from these types of files. The “platform independent” configuration file handlers construct, read, and write keys to the file that an application can use at startup. Programmers who do not use Windows, or programmers who need to support multiple operating systems, will find this set of functions very useful. There is no need to write your own parsing routines. Data that may be desired in a configuration file is the working directory, display preferences, the last log files saved to, and instrument calibration factors. These types of files are not used often enough in programming. Configuration files allow for flexibility in programs that is persistent. Persistent data is data that is written to the hard disk on shutdown and read back on startup.
P
Published in Phillip A. Laplante, Dictionary of Computer Science, Engineering, and Technology, 2017
persistent data data that continues to exist after the process or transaction that created it has terminated. Persistent data may be used and possibly altered by many different transactions or processes. Files and databases are examples of persistent data in computer systems.
Integrated product-process modelling for platform-based co-development
Published in International Journal of Production Research, 2020
Thomas Ditlev Brunoe, Ann-Louise Andersen, Daniel G.H. Sorensen, Kjeld Nielsen, Mads Bejlegaard
The model illustrated in Figure 1 represents a number of classes. In the object-oriented modelling paradigm, classes are abstractions over a group of objects, where each object represents an entity in the real world. I.e. instantiating the class ‘component type’ would result in an object with a name representing that specific type of component, e.g. ‘Gear’, and that object would belong to the class ‘component type’, and thus the relations to other objects, e.g. ‘process type’ and ‘components’. One typical way of establishing persistence in an information system based on object-oriented models would be to transform the class model into a relational data schema which could be implemented in a relational database for storing data about the objects. In this case, the classes as illustrated in Figure 1 would be transformed into tables, and the instances, i.e. the objects representing actual equipment and components would be tuples (records) in the database.