Deterministic Network Calculus

N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

7.1. MIMO servers and aggregation of flows. Cover; Half-Title Page; Title Page; Copyright Page; Contents; Acknowledgments; Introduction; I.1. Organization of the book; I.2. How to read this book; I.3. Network calculus in four pages; 1. Basic Model: Single Server, Single Flow; 1.1. Modeling principles; 1.2. Constant rate server; 1.3. Flow model; 1.4. Server model; 1.5. Delay and memory usage models; 1.6. Summary; PART 1: (min, plus) Functions and Algorithms; 2. The (min, plus) Functions Semi-ring; 2.1. The (min, plus)-based dioids; 2.1.1. Dioids; 2.1.2. The (min, plus) dioid; 2.1.3. The dioid of (min, plus) functions. 2.2. Sub-additive closure2.2.1. Kleene star operator; 2.2.2. Sub-additive closure; 2.3. Deconvolution; 2.3.1. Residuation theory; 2.3.2. (min, plus) deconvolution as a residuation operator; 2.4. Link with (max, plus) dioid; 2.5. Summary; 3. Sub-classes of Functions; 3.1. Usual functions; 3.1.1. Convolution and deconvolution of the usual classes of functions; 3.1.2. Horizontal and vertical deviations for the usual classes of functions; 3.2. Non-negative and non-decreasing functions; 3.2.1. Pseudo-inverse of a function; 3.2.2. Convolution and continuity; 3.3. Concave and convex functions. 3.3.1. Concave functions3.3.2. Convex functions; 3.4. Summary; 4. Efficient Computations for (min, plus) Operators; 4.1. Classes of functions with finite representations; 4.2. Piecewise linear concave/convex functions; 4.2.1. Representation of piecewise linear concave and convex functions; 4.2.2. (min, plus)-convolution of convex and concave functions; 4.3. A stable class of functions; 4.3.1. Examples of instability of some classes of functions; 4.3.2. Class of plain piecewise linear ultimately pseudo-periodic functions; 4.3.3. Functions with discrete domain. 4.4. Containers of (min, plus) functions4.4.1. Notations and context; 4.4.2. The object container; 4.4.3. Inclusion functions for containers; 4.5. Implementations; PART 2: Network Calculus: Local Analysis; 5. Network Calculus Basics: a Server Crossed by a Single Flow; 5.1. Arrival curve; 5.2. Service curves; 5.2.1. Min-plus minimal service curve; 5.2.2. Strict minimal service curve; 5.2.3. Comparison of min-plus and strict minimal service curves; 5.2.4. Maximal service curve; 5.3. From curves to performance guarantees; 5.3.1. Backlog and delay bounds. 5.3.2. Arrival curve for the departure cumulative function5.3.3. Complements on the performance operators; 5.4. Bibliographic and historic notes; 5.5. Summary; 6. Single Flow Crossing Several Servers; 6.1. Servers in tandem; 6.1.1. Concatenation and service convolution; 6.1.2. The pay burst only once phenomenon; 6.1.3. Composition of strict service curves; 6.2. Control design; 6.2.1. Tandem control; 6.2.2. Feedback control; 6.3. Essential use cases; 6.3.1. Essential services curves; 6.3.2. Essential arrival curves; 6.4. Summary; 7. Multiple Flows Crossing One Server.

Cite

CITATION STYLE

APA

Deterministic Network Calculus. (2009). In Stochastic Network Calculus (pp. 18–38). Springer London. https://doi.org/10.1007/978-1-84800-127-5_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free