Download Real-time Embedded Systems: Optimization, Synthesis, and by Meikang Qiu PDF

By Meikang Qiu

ISBN-10: 1439817650

ISBN-13: 9781439817650

Ubiquitous in today’s consumer-driven society, embedded platforms use microprocessors which are hidden in our daily items and designed to accomplish particular initiatives. potent use of those embedded structures calls for engineers to be educated in all stages of this attempt, from making plans, layout, and research to production and marketing.

Taking a systems-level method, Real-Time Embedded structures: Optimization, Synthesis, and Networking describes the sphere from 3 special features that make up the 3 significant tendencies in present embedded approach design.

The first component of the textual content examines optimization in real-time embedded structures. The authors current scheduling algorithms in multi-core embedded structures, coach on a powerful size opposed to the incorrect details which could exist in embedded structures, and talk about power difficulties of heterogeneous optimization. the second one part makes a speciality of synthesis-level ways for embedded platforms, together with a scheduling set of rules for section switch reminiscence and scratch pad reminiscence and a therapy of thermal-aware multiprocessor synthesis know-how. the ultimate part seems at networking with a spotlight on job scheduling in either a instant sensor community and cloud computing. It examines the merging of networking and embedded platforms and the ensuing evolution of a brand new form of method referred to as the cyber actual process (CPS).

Encouraging readers to find how the pc interacts with its surroundings, Real-Time Embedded platforms provides a legitimate advent to the layout, production, advertising and marketing, and destiny instructions of this crucial tool.

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Additional info for Real-time Embedded Systems: Optimization, Synthesis, and Networking

Sample text

From the above example, we can see that the probabilistic approach to the heterogeneous assignment problem has great advantages: It provides the possibility to reduce the total cost of systems with guaranteed confidence probabilities under different timing constraints. It is suitable to both hard and soft real-time systems. We will give related algorithms and experiments in later sections. 2 The Algorithms for the HAP Problem In this section, we propose two algorithms to solve the general case of the HAP problem, that is, the given input is a directed acyclic graph (DAG).

1), even if there are common nodes, we must not count the same node twice. That is, the cost is just added once, and the probability is multiplied once. If a common node has conflicting FU type selection, then we need to define a selection function to decide which FU type should be chosen for the common node. For example, we can select the FU type as the type that has a smaller execution time. Due to the problem of common nodes, algorithm DAG Heu is not an optimal algorithm. The reason is that an assignment conflict for a common node may exist, while algorithm DAG Heu cannot solve this problem.

In every step in our algorithm, one more node will be included for consideration. The information of this node is stored in local table Ei,j , which is similar to table Di,j . A local table only stores information, such as probabilities and costs, of a node itself. Table Ei,j is the local table only storing the information of node vi . In more detail, Ei,j is a local table of link lists that store pair (pi,j , ci,j ) sorted by pi,j in an ascending order; ci,j is the cost only for node vi at time j, and pi,j is the corresponding probability.

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