Xem 1-18 trên 18 kết quả Applications of queue
  • Linear List Concepts FIFO (Queue) .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. .

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  • In general we do not like to wait. But reduction of the waiting time usually requires extra investments. To decide whether or not to invest, it is important to know the e ect of the investment on the waiting time. So we need models and techniques to analyse such situations.In this course we treat a number of elementary queueing models. Attention is paid to methods for the analysis of these models, and also to applications of queueing models.

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  • This chapter considers several large applications. The set of applications organized into three sections. In Section 13.1, we present case studies queueing network applications. In Section 13.2 we present case studies Markov chains and stochastic Petri nets. In Section 13.3, case studies hierarchical models are presented.

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  • An Abstract Queue (Queue ADT) is an abstract data type that emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, there are no restrictions on objects inserted into (pushed onto) the queue - that object is designated the back of the queue,... This topic discusses the concept of a queue: Description of an Abstract Queue, list applications, implementation, queuing theory, standard template library.

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  • Chapter 18 entitled 'Management of waiting lines' deals with waiting lines which commonly occur in all service systems. Management of queues is governed by a theory what has come to be known as 'queuing theory'. Queuing theory is directly applicable to a wide range of service operations, including call centers, banks, post offices, restaurants, theme parks, telecommunications systems, and traffic management.

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  • A ‘ringbuffer’ application is Devices might be ‘idle', Devices might be ‘busy’, Avoid ‘busy waiting’, ‘blocking’ while idle, ‘run’ queues and ‘wait’ queues, Kernel waitqueues, Kernel’s support routines, Use of Linux wait queues.

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  • With the introduction of multicore devices such as the iPad 2 and the quad-core Mac- Book Pro, writing multithreaded apps that take advantage of multiple cores on a device has become one of the biggest headaches for developers. Take, for instance, the introduction of iPad 2. On the launch day, only a few applications, basically those released by Apple, were able to take advantage of its multiple cores. Applications like Safari performed very well on the iPad 2 compared to the original iPad, but some third-party browsers did not perform as well as Safari.

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  • 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.

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  • •Queues are one of the most common of all data-processing structures. •Queues are used where someone mustwait 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.

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  • Binary Heap. Min-heap. Max-heap. Efficient implementation of heap ADT: use of array Basic heap algorithms: ReheapUp, ReheapDown, Insert Heap, Delete Heap, Built Heap d-heaps Heap Applications: Select Algorithm Priority Queues Heap sort Advanced implementations of heaps: use of pointers Leftist heap Skew heap Binomial queues

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  • Chapter 18c - Correctness of object-oriented programs. The main contents of this chapter include all of the following: Design by contract, the class invariant, correctness of a queue application, final observations.

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  • Fundamentals of Simulation those vital statistics DISCRETE TIME SIMULATION This chapter is intended as an introduction to simulation and, in particular, its application to cell- and packet-based queueing. For anyone wanting a more comprehensive treatment of the subject of simulation in general, we refer to [5.1]. We will introduce the subject of simulation by concentrating on a discrete version of the M/D/1 queue, applicable to the study of ATM cell buffering.

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  • his book is a comprehensive and easy-to-understand guide for using the Oracle Data Provider (ODP) version 11g on the .NET Framework. It also outlines the core GoF (Gang of Four) design patterns and coding techniques employed to build and deploy high-impact mission-critical applications using advanced Oracle database features through the ODP.NET provider. The book details the features of the ODP.NET provider in two main sections: “Basic,” covering the basics and mechanisms for data access via ODP.

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  • SELF-SIMILARITY AND LONG-RANGE-DEPENDENT TRAFFIC The queueing models and solutions we have presented, developed and applied in this book are very useful and have wide applicability. However, one of the most significant recent findings for the design and performance evaluation of networks has been the discovery of selfsimilarity and long-range dependence (LRD) in a variety of traffic types [17.1]. Why is it significant? Well, the essence of self-similarity is that a time-varying process behaves in a similar way over all time scales.

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  • We propose a new design for highly concurrent Internet services, which we call the staged event-driven architecture (SEDA). SEDA is intended to support massive concurrency demands and simplify the construction of well-conditioned services. In SEDA, applications consist of a network of event-driven stages connected by explicit queues. This architecture allows services to be well-conditioned to load, preventing resources from being overcommitted when demand exceeds service capacity.

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  • An Abstract Stack (Stack ADT) is an abstract data type which emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, there are no restrictions on objects inserted into (pushed onto) the queue that object is designated the back of the queue,... This topic discusses the concept of a stack: Description of an Abstract Stack, list applications, implementation, example applications, standard template library.

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  • An Abstract Deque (Deque ADT) is an abstract data structure which emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, allows insertions at both the front and back of the deque. This topic discusses the concept of a queue: Description of an Abstract Deque, applications, implementations, the STL and iterations.

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  • Research objectives: Studying and evaluation of active queue management mechanisms to find out the advantages and disadvantages of each mechanism, in order to classify and evaluate application performance for mechanisms and using fuzzy logic to improve active queue management mechanism; the results of the first goals is to perform study motivation first and will be the foundation for the theory and simulation improvements of the thesis.

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