دانلود رایگان مقاله نظارت بر بارگذاری هنجار احتمالی در سیستم های توزیع شده مقیاس بزرگ – سال 2019
مشخصات مقاله:
عنوان فارسی مقاله:
نظارت بر بارگذاری هنجار احتمالی در سیستم های توزیع شده مقیاس بزرگ با استفاده از عوامل تلفن همراه
عنوان انگلیسی مقاله:
Probabilistic normed load monitoring in large scale distributed systems using mobile agents
کلمات کلیدی مقاله:
سیستم های توزیع شده، عوامل موبایل، نظارت بر بارگذاری، بهره برداری از منابع، محاسبات ابری
مناسب برای رشته های دانشگاهی زیر:
مهندسی کامپیوتر – مهندسی فناوری اطلاعات
مناسب برای گرایش های دانشگاهی زیر:
الگوریتم و محاسبات – شبکه های کامپیوتری – سامانه های شبکه ای
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Outline
Highlights
Abstract
Keywords
۱٫ Introduction
۲٫ Related work
۳٫ Software architecture design
۴٫ The algorithm design
۵٫ Implementation environment
۶٫ Experimental evaluations
۷٫ Comparative analysis
۸٫ Conclusion
Acknowledgment
References
قسمتی از مقاله انگلیسی:
Abstract
Due to rapid advancements and developments in computing platforms, there is a tremendous growth in heterogeneous distributed systems involving mobile devices. In distributed systems, achieving better performance and efficient utilization of shared resources are dependent on appropriate load monitoring mechanisms. In large-scale distributed systems, performing load monitoring is a challenging task and, it effects in increasing response time degrading system performance. In this paper, we have developed and implemented mobile agent-based load monitoring system intended to large-scale distributed systems. Mobile agent based design is an attractive approach for load monitoring in large-scale distributed systems, because mobile agents are autonomous, goal-driven, reactive to environmental changes and, lightweight piece of program. In this paper, a detailed software architectural design for mobile agent based load monitoring system is presented. The design is based on a probabilistic normed estimation model and corresponding monitoring algorithms. The experimental evaluations and scalability analysis presented in this paper illustrate the behavior of agents and performance of the system under different load conditions. Moreover, a detailed qualitative as well as quantitative analysis of various mobile agent models are presented.
1. INTRODUCTION
A distributed system is the combination of independent nodes operating in a network and appears to the users as a single coherent system [6]. Distributed systems mean distributed processing in a shared environment to minimize computing time and to increase the overall performance. However, achieving better performance and reduction of computing time are subject to proper load balancing and load monitoring mechanisms [7, 31]. It means that, the overall processing load should be equally distributed among all the nodes with the proper load monitoring mechanism to avoid underload or overload conditions. In recent time, researchers have proposed that strict load balancing in a distributed system may not offer improved performance [34]. However, in general, it is observed that load balancing is an important factor in heterogeneous large-scale distributed systems to avoid overloading/underloading skews at nodes [32, 33]. In distributed systems, load monitoring mechanisms are used to monitor available computing nodes in a system [25]. Without load monitoring, it is difficult to employ load balancing approaches to distributed systems. In large-scale distributed systems, load monitoring by a system administrator is a very difficult task [7, 26]. Moreover, load monitor creates frequent intercommunication in distributed systems while collecting node information repeatedly [8].
