Cloud Computing
M. Farmani; S. Farnam; M. J. Khani; Z. Torabi; Z. Shirmohammadi
Abstract
Background and Objectives: With the increase of population in the world along with the decrease of natural resources, agricultural land and the increase of unpredictable environmental conditions, it causes concerns in the field of food supply, which is one of the serious concerns for all countries of ...
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Background and Objectives: With the increase of population in the world along with the decrease of natural resources, agricultural land and the increase of unpredictable environmental conditions, it causes concerns in the field of food supply, which is one of the serious concerns for all countries of the world. Therefore, the agricultural industry has moved towards smart agriculture. Smart agriculture using the Internet of Things, which uses different types of sensors to collect data (such as temperature, humidity, light, etc.), a communication network to send and receive data, and information systems to manage and analyze data. Smart agriculture deals with a huge amount of data collected from farms, which has fundamental challenges for analysis using old systems such as lack of storage space, processing delay. Computational paradigm is a key solution to solve the problems of time delay, security, storage space management, real-time analysis. Computing paradigms include cloud, fog and edge computing, which by combining each of them in smart agriculture has caused a great transformation in this industry. The purpose of this article is to provide a comprehensive review of the architecture of computing paradigms in smart agriculture applications.Methods: To achieve the goals of this article, the methodology is divided into two parts: article selection and review of the selected articles. The computational paradigms used in the selected articles are from 2019 to 2022. Each selected paper is then reviewed in detail in terms of categories of computing paradigms, architectures, key points, advantages, and challenges.Results: Computational paradigms have significant advantages. Combining these paradigms with each other in a complementary way covers many challenges. The architecture based on the combination of edge-fog-cloud computing is one of the best architectures combined with smart agriculture.Conclusion: By combining computing paradigms and smart agriculture, the challenges based on traditional and old systems are overcome. Combining these paradigms complement each other's challenges.
Hardware
Z. Shirmohammadi; M. Mahmoudi; M. Rostamnezhad
Abstract
Background and Objectives: Thermal problem is one of the main challenges in 3D on-chip networks. Inappropriate traffic distribution, poor heat dissipation, cooling restriction for layers away from the chip heatsink are the main reasons for this problem.Methods: This paper proposes a new intelligent routing ...
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Background and Objectives: Thermal problem is one of the main challenges in 3D on-chip networks. Inappropriate traffic distribution, poor heat dissipation, cooling restriction for layers away from the chip heatsink are the main reasons for this problem.Methods: This paper proposes a new intelligent routing algorithm called (Int-TAR) to solve these problems. Int-TAR applies a routing for managing the heat in 3D on-chip networks dynamically. The main idea behind Int-TAR is to save the past states of the system and, according to these states, predict the future behavior of the network and perform routing dynamically. It is done by the threshold of routers dynamically based on the current status of the routers.Result: The simulation results show that Int-TAR decreases the temperature of the network by 13% and improves performance efficiently.Conclusion: The proposed idea shows the better benchmark for the thermal problem in 3D on-chip network. Also, the higher memory for storing the past state of the network can make accurate and the further performance for the network.
