Dynamic Modelling for Supply Chain Management

اختصاصی از حامی فایل Dynamic Modelling for Supply Chain Management دانلود با لینک مستقیم و پر سرعت .

آموزش کاروکان پویا: واریانت برونشتاین لارسن و سیستم اصلی کاروکان The Dynamic Caro-Kann: The Bronstein Larsen And The Original C

اختصاصی از حامی فایل آموزش کاروکان پویا: واریانت برونشتاین لارسن و سیستم اصلی کاروکان The Dynamic Caro-Kann: The Bronstein Larsen And The Original Caro Systems دانلود با لینک مستقیم و پر سرعت .

The Dynamic Caro-Kann: The Bronstein Larsen And The Original Caro Systems

by Jeremy Silman

آموزش کاروکان پویا: واریانت برونشتاین لارسن و سیستم اصلی کاروکان 

توسط جرمی سیلمن

فرمت: PDF

تعداد صفحات: 189

اورجینال با قابلیت کپی و چاپ

ناشر: Summit Pub

978-0945806028:ISBN

 این کتاب سیستم خط اصلی کاروکان را نادیده گرفته و درعوض توجه به پویا ترین حرکت سیاه 4 ... NF6!؟ کرده است.
این کتاب دارای سه بخش می باشد. بخش اول پس از حدود حرکت  5 Nxf6+ gxf6 به نام  واریانت برونشتاین لارسن شروع می شود و این نام به خاطر اینکه  دو استاد بزرگ جاودانه دیوید برونشتاین و بنت لارسن از آن استفاده می کردند و اغلب به موفقیت بزرگ دست می یافتند نام گذاری شده است.
بخش دوم پس از حرکت 5 N xf6+ exf6 می آید. اگر چه به این خط هرگز نام رسمی داده نشده است، بسیاری از بازیکنان به آن پاسخ اصلی کاروکان را داده اند از آنجا که این روش ساده از کاروکان اصلی به کار گرفته شده است. بخش سوم و پایانی کتاب مربوط به جایگزین کمتر انتقادی به 5 Nxf6 + توجه خاص به 5 NG3 داده شده است.

دانلود مقاله All-to-all data dissemination with network coding in dynamic MANETs - انتشار 2014

اختصاصی از حامی فایل دانلود مقاله All-to-all data dissemination with network coding in dynamic MANETs - انتشار 2014 دانلود با لینک مستقیم و پر سرعت .

Contents lists available at ScienceDirect
Computer Networks

Péter Vingelmann a,b
, Janus Heide b
, Morten Videbæk Pedersen b
, Qi Zhang c
,
Frank H.P. Fitzek b

a b s t r a c t
This paper investigates the problem of efficient data dissemination in Mobile Ad hoc NETwork
(MANETs). A testbed is presented; which provides a realistic degree of mobility in
experiments. The testbed consists of ten autonomous robots with mobile phones mounted
on them. The mobile phones form an IEEE 802.11g ad hoc network to communicate with
each other. A dynamic network topology is assumed, where the mobile devices form a
cooperative cluster in order to communicate directly with each other. In the investigated
scenario, the initial state is that each device carries a unique fragment of the full data
set, and the goal is to exchange this data set among all devices. Several alternative strategies
are presented that use UDP broadcast transmissions and Random Linear Network Coding
(RLNC) to facilitate the efficient exchange of information in the wireless network. An
application is introduced; which implements these strategies on Nokia phones. Results collected
during an extensive measurement campaign are presented, and the performance of
several strategies is compared using numerous metrics. We observe that network coding
can substantially reduce the completion time in our scenario, which also leads to significant
energy savings.

اختصاصی از حامی فایل Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing دانلود با لینک مستقیم و پر سرعت .

Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing

ژورنال:Journal of Network and Computer Applications

سال: January 2016

قیمت اصلی:39.95$

Highlights

•

The first attempt for extending the functionality of cloudlets.

•

Achieve energy-aware performances in the dynamic networking environment.

•

Provide future research in the field with the theoretical support and exploring directions.

•

The model may be migrated and applied in multiple industries.

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Abstract

Employing mobile cloud computing (MCC) to enable mobile users to acquire benefits of cloud computing by an environmental friendly method is an efficient strategy for meeting current industrial demands. However, the restrictions of wireless bandwidth and device capacity have brought various obstacles, such as extra energy waste and latency delay, when deploying MCC. Addressing this issue, we propose a dynamic energy-aware cloudlet-based mobile cloud computing model (DECM) focusing on solving the additional energy consumptions during the wireless communications by leveraging dynamic cloudlets (DCL)-based model. In this paper, we examine our model by a simulation of practical scenario and provide solid results for the evaluations. The main contributions of this paper are twofold. First, this paper is the first exploration in solving energy waste problems within the dynamic networking environment. Second, the proposed model provides future research with a guideline and theoretical supports.

Keywords

• Mobile cloud computing, Green computing, Dynamic program, Energy-aware,
• Cloudlets

اختصاصی از حامی فایل Precise execution offloading for applications with dynamic behavior in mobile cloud computing دانلود با لینک مستقیم و پر سرعت .

Precise execution offloading for applications with dynamic behavior in mobile cloud computing

ژورنال:Pervasive and Mobile Computing

سال: October 2015

قیمت اصلی:41.95$

Abstract

In order to accommodate the high demand for performance in smartphones, mobile cloud computing techniques, which aim to enhance a smartphone’s performance through utilizing powerful cloud servers, were suggested. Among such techniques, execution offloading, which migrates a thread between a mobile device and a server, is often employed. In such execution offloading techniques, it is typical to dynamically decide what code part is to be offloaded through decision making algorithms. In order to achieve optimal offloading performance, however, the gain and cost of offloading must be predicted accurately for such algorithms. Previous works did not try hard to do this because it is usually expensive to make an accurate prediction. Thus in this paper, we introduce novel techniques to automatically generate accurate and efficient method-wise performance predictors for mobile applications and empirically show they enhance the performance of offloading.

Keywords

• Mobile cloud computing, Execution offloading, Performance prediction