Download e-book for iPad: Autonomic Computing: Principles, Design and Implementation by Philippe Lalanda, Julie A. McCann, Ada Diaconescu

By Philippe Lalanda, Julie A. McCann, Ada Diaconescu

ISBN-10: 1447150074

ISBN-13: 9781447150077

Autonomic computing is altering the way in which software program structures are being built, introducing the target of self-managed computing structures with minimum desire for human input.

This easy-to-follow, classroom-tested textbook/reference offers a pragmatic viewpoint on autonomic computing. during the mixed use of examples and hands-on tasks, the publication permits the reader to speedily achieve an knowing of the theories, types, layout ideas and demanding situations of this topic whereas development upon their present wisdom; therefore reinforcing the recommendations of autonomic computing and self-management.

Topics and features:

* presents a dependent and complete creation to autonomic computing with a software program engineering perspective
* Supported through a downloadable studying atmosphere and resource code that permits scholars to strengthen, execute, and attempt autonomic functions at an linked website
* offers the most recent info on suggestions enforcing self-monitoring, self-knowledge, decision-making and self-adaptation
* Discusses the demanding situations to comparing an autonomic method, helping the reader in designing assessments and metrics that may be used to match autonomic computing systems
* stories the main suitable resources of notion for autonomic computing, with tips in the direction of extra broad uniqueness literature
* excellent for a 10-week lecture programme

This concise primer and functional advisor might be of significant use to scholars, researchers and practitioners alike, demonstrating tips to greater architect strong but versatile software program structures in a position to assembly the computing calls for for this day and sooner or later.

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Extra resources for Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science)

Example text

B The memristance Rt with the applied voltage. c Response of the state variable L according to the applied voltage. d The memristance Rt for a restricted range of L according to Eq. 4. e Graphical demonstration of Eq. 6; in the regions above the thresholds the black line follows either the green (region [−V0, −Vth)) or the red (region (Vth, V0]) sigmoid function displace equally the above range so that [RON, ROFF]NEW = (f0,NEW/f0) × [RON, ROFF]. Except the threshold voltages VRESET and VSET which can be set asymmetric, since α is the max value for the rate of change of parameter r, different aRESET and aSET can lead to different switching times which depend on the polarity of the applied voltage.

More specifically, Fig. 3a, b show how the memristance range can be adjusted by modifying the L0 and f0 parameter values. A higher L0 enlarges the [RON, ROFF] memristance range in an exponential manner, whereas different values for the parameter f0 14 2 Memristor Modeling Fig. 2 a I–V characteristic of a memristor under AC voltage V(t) = V0 · sin(2πft) for different frequencies f0 < f1 < f2 of V(t) with threshold voltages VRESET = VSET = Vth. b The memristance Rt with the applied voltage. c Response of the state variable L according to the applied voltage.

Ch. 1007/978-3-319-22647-7_2 9 10 2 Memristor Modeling usually far too complex to solve analytically and numerical solutions are too time consuming to include in a simulation. Moreover, since simulation with Simulation Program with Integrated Circuit Emphasis (SPICE) is common practice in circuit development, several models of memristors were also implemented in SPICE [2, 5– 8, 14–20]. The study of some of the most noteworthy published memristor models has shown that simple models are able to reproduce most of the dynamics observed with more accurate models, whose far greater computational complexity may lead to convergence problems and instability issues in complex circuits [21].

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Autonomic Computing: Principles, Design and Implementation (Undergraduate Topics in Computer Science) by Philippe Lalanda, Julie A. McCann, Ada Diaconescu

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