با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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1 |
A classification and review of approaches and methods for modeling uncertainty in projects
طبقه بندی و بررسی رویکردها و روشها برای مدل سازی عدم اطمینان در پروژه ها-2020 In this paper, we created a classification for major sources of uncertainty in projects and categorized the studies in project scheduling literature with respect to the uncertainty source(s) they address. In addition, we investi- gated the approaches and methods to manage uncertainty, and studied the literature regarding these methods. Project management predominantly models the randomness in duration of activities; however, studies modeling the uncertainty due to other sources are scarce. We focused on these sources of uncertainty and highlighted the promising areas of research. The results presented in this paper will help researchers to identify the research gaps in modeling project uncertainty. Keywords: Project management | Project scheduling | Uncertainty | Stochastic scheduling | Robust scheduling | Reactive scheduling |
مقاله انگلیسی |
2 |
QoS guaranteeing robust scheduling in attack resilient cloud integrated cyber physical system
تضمین برنامه ریزی قوی QoS در حمله ابر انعطاف پذیر سیستم یکپارچه فیزیکی سایبری-2017 In this paper, we propose a security framework based on the semi-network form game in unison
with a robust and attack resilient scheduling mechanism for a cloud integrated Cyber Physical System
(CPS). As CPS moves from the traditional Sensing Control and Data Acquisition (SCADA) systems
with limited on-board processing units, the need to use cloud computing arises owing to the ever
increasing processing demands of heterogeneous CPS applications. In such systems, system stability and
critical operational capability have the highest priority. This multi-system coupling can have security
vulnerabilities which can cripple the speed and effectiveness of data processing, which is unacceptable
in time and resource critical CPS applications owing to the need for satisfying the stringent Quality of
Service (QoS) requirements. Therefore, a robust scheduling mechanism invulnerable to security attacks
is needed to efficiently utilize the scalable processing components as provided by a cloud computing
platform. However, scalability brought in by the cloud integration and data migration increases the attack
space of an attacker due to an increase in available access points. To address this issue, we developed a
new method of learning procedure using Bayesian Networks for the semi-network form game to aid our
scheduling algorithm. We employ game theoretic principles to proactively understand the behavior of
an attacker based on the strategic decisions made by the defender. This helps us in building a robust
scheduling mechanism that schedules tasks based on the decisions made from the output of the game.
Keywords: QoS | Cloud | Cyber Physical System | Security | Scheduling |
مقاله انگلیسی |