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A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing
المؤلفون المشاركون
Nadjm-Tehrani, Simin
Toczé, Klervie
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-23، 23ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-04
دولة النشر
مصر
عدد الصفحات
23
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Edge computing is promoted to meet increasing performance needs of data-driven services using computational and storage resources close to the end devices at the edge of the current network.
To achieve higher performance in this new paradigm, one has to consider how to combine the efficiency of resource usage at all three layers of architecture: end devices, edge devices, and the cloud.
While cloud capacity is elastically extendable, end devices and edge devices are to various degrees resource-constrained.
Hence, an efficient resource management is essential to make edge computing a reality.
In this work, we first present terminology and architectures to characterize current works within the field of edge computing.
Then, we review a wide range of recent articles and categorize relevant aspects in terms of 4 perspectives: resource type, resource management objective, resource location, and resource use.
This taxonomy and the ensuing analysis are used to identify some gaps in the existing research.
Among several research gaps, we found that research is less prevalent on data, storage, and energy as a resource and less extensive towards the estimation, discovery, and sharing objectives.
As for resource types, the most well-studied resources are computation and communication resources.
Our analysis shows that resource management at the edge requires a deeper understanding of how methods applied at different levels and geared towards different resource types interact.
Specifically, the impact of mobility and collaboration schemes requiring incentives are expected to be different in edge architectures compared to the classic cloud solutions.
Finally, we find that fewer works are dedicated to the study of nonfunctional properties or to quantifying the footprint of resource management techniques, including edge-specific means of migrating data and services.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Toczé, Klervie& Nadjm-Tehrani, Simin. 2018. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-23.
https://search.emarefa.net/detail/BIM-1216232
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Toczé, Klervie& Nadjm-Tehrani, Simin. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-23.
https://search.emarefa.net/detail/BIM-1216232
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Toczé, Klervie& Nadjm-Tehrani, Simin. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-23.
https://search.emarefa.net/detail/BIM-1216232
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1216232
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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