Linear List Concepts
.Queue - FIFO data structure
• Queues are one of the most common of all data-processing structures. • Queues are used where someone must wait one's turn before having access to something.
• Queues are used in every operating system and network: processing system services and resource supply: printer, disk storage, use of the CPU,... • Queues are used in business online applications: processing customer requests, jobs, and orders.
Markov processes provide very flexible, powerful, and efficient means for the description and analysis of dynamic (computer) system properties. Performance and dependability measures can be easily derived. Moreover, Markov processes constitute the fundamental theory underlying the concept of queueing systems. In fact, the notation of queueing systems has been viewed sometimes as a high-level specification technique for (a sub-class of) Markov processes.
This book focuses on the development of cloud-native applications. A cloud-native ap
plication is architected to take advantage of specific engineering practices that have
proven successful in some of the world’s largest and most successful web properties.
Many of these practices are unconventional, yet the need for unprecedented scalability
and efficiency inspired development and drove adoption in the relatively small number
of companies that truly needed them. After an approach has been adopted successfully
enough times, it becomes a pattern.
So far we learned pre-test loops such as the general while loop, counter controlled loops specifically for loop, sentinel controlled loops and flag controlled loops. In all these loops we initialized the loop control variable(s) and tested the condition before entering the loop. For instance, data-validation would require the data to be read at least once and then test for its validity. There are special situations were the loop must be executed at least once before the testing is done. Two examples come to mind, a circular queue, and sorting.
IN this chapter the basic theory theory
SPNs grew out of the general 1960s through
of (non-timed) of stochastic
nets developed in these models.
the introduction for an overview. networks,
papers in the field of stochastic to the end of the chapter SPNs are, like queueing easy specification the involved numerically, butions to an underlying In this chapter computed. performance CTMCs Note that modelling. Notation
A necessary caveat is that we consider a specific LSM, comparing it to a specific model of
internal queues. Other LSMs, perhaps associated with different settlement rules, may yield
different outcomes. For example, one could think of a system where all payments (even those
sent to the RTGS stream) are first passed through the LSM. Then, if LSM settlement does not
happen instantly because a cycle has not formed, the urgent RTGS payments are immediately
settled by transferring liquidity.