Cloudlet is an important part of providing cloud services in Mobile Edge Computing (MEC) with sustainability. As the number of mobile users grows rapidly in the current era, the load in the cloudlet becomes very high. The cloudlet is considered in the middle layer for providing cloud services with low latency and energy efficiency. Hence the task allocation and scheduling inside of the cloudlet is

In this paper, we have proposed a DRL based method to obtain the route based on an optimized load of SDN which is based on self-learning of human intelligence. In this proposal, the Bio-Inspired RBM is used for Bio-Inspired Deep Belief Architecture (BDBA) for implementing deep learning to obtain the optimized route. This Bio-Inspired RBM has two parts one is simple RBM and another part is inspired

Opportunism in the Internet of Things is the latest necessity arising in the IoT network communication development when we encompass a sustainable approach to routing. Such a requirement arises from the need for device-hop based networking to eliminate a dedicated end-to-end physical network for pervasive communication and promotes local data and computation sharing mechanisms as well as sustainably

In order to provide a basis for the development of mineral resources and the implementation of spatial zoning management, the application of fuzzy recognition method in mineral resources allocation is studied and analyzed in this study to promote the optimal allocation of mineral resources and establish a reasonable regional division of labor and cooperation relationship. The results show that, taking

Smart agriculture is based primarily on three platforms, namely science, innovation and space technologies. These are considered as the three pioneer pillars of nation building. Space technologies play a vital role in improving soil quality, reducing the waste of water during irrigation and sharing agricultural information with farmers. With the help of terrestrial, aquatic, and aerial sensors, satellites

Fresh e-commerce has developed rapidly in the past decade. However, compared with the huge number of Internet users and the huge scale of network economy in China, the utilization rate of fresh e-commerce is relatively low and the profit rate is not ideal. Based on the online survey data of 202 experienced consumers and 192 potential consumers, Amos structural equation model is used to empirically

Security vulnerability prediction models allow estimation of the number of potential vulnerabilities and evaluation of the risks caused by these vulnerabilities. In particular, for modeling the vulnerabilities that may occur in software versions over time, it is appropriate to take the necessary countermeasures. These models are crucial in areas such as determining the number of resources required

In this work, we present a real-time embedded implementation of an algorithm dedicated to monitoring agricultural fields. This algorithm is based on normalized indices, such as the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI). The problem of most algorithms in this context is real-time processing, especially when we talk about applications that require

Wearable wireless sensors, or Wireless Body Sensor Network (WBSN), is one of the most recent fields of research in healthcare applications. The sensors are placed on the human body to detect the critical medical parameters and transmit the collected data to a centralized node. Though the devices work at low energy and power constraints, maintenance of such devices is a crucial aspect. In light of this

The extreme issues related to energy consumption and connectivity within the network in mobile wireless sensor network indulges so many researchers to find out the optimal solutions. This paper presents a new probabilistic algorithm to analyze the network connectivity by taking in account the parameters like network probability, detection area, radius of the individual nodes and whole detection area

In this work, we propose a two-step methodology for designing and sizing a data center solely powered by local renewable energy. The first step consists in determining the necessary IT equipment for processing a given IT workload composed of batch and service tasks. We propose an adapted binary search algorithm and prove its optimality to find the minimum number of servers to handle the IT workload

The rapid advancements in wireless technology and enhanced computing power of handheld devices, enable the users to perform transactions anywhere, anytime during roaming. Carrying out ongoing transactions during roaming is a crucial field for research in the field of mobile communication. In order to ensure a high quality of service (QoS), an energy-efficient handover process is essential for accomplishing

With the increasingly severe global energy and environmental issues, the traditional economic load dispatching with the single goal of power generation cost has been unable to meet the national macro strategic requirements for energy conservation and emission reduction. This research mainly discusses the multi-objective optimization of spatial adaptive partitioning based on environmental economic dispatch

In network functions virtualization (NFV) environments, network security is provided with the deployment of virtual security functions (VSF) on general-purpose servers to filter and monitor the incoming traffic. However, the traffic handled by VSFs may have different security requirements in a network. On the other hand, there are some operational objectives that differ according to the needs of the

In recent years, China's economy continues to develop at a high speed, but also faces the enormous pressure of energy shortage and environmental deterioration. As an energy-saving discipline, we should actively adopt advanced energy-saving management methods and technologies for energy utilization management. The purpose of this paper is to study an integrated energy pipeline system based on Internet

Nowadays, China's economic development is in a rapid and stable state, in which scientific and technological innovation has played a great role in promoting the development of economic society. Scientific and technological innovation is an important indicator to measure the competitiveness of modern economic society, and is also the pillar and driving force for the survival of regional economic development

With the rapid increase of the number of people on the earth, the environment is deteriorating gradually, and there is a shortage of resources. Therefore, it is urgent to actively participate in the creation of efficient energy-saving technology. The purpose of this article is to study the role of high-efficiency and energy-saving architecture in corporate brand building, explore the relationship between

The accessibility of ubiquitous communication services from various wireless technologies has become essential in the current Internet of everything (IoE) era. It is crucial for mobile users residing in densely populated areas to get the provision of uninterrupted connectivity and seamless services. To this end, this paper provides a mechanism for uninterrupted connectivity to a maximum number of users

Human resources are now a very important factor in the development of various enterprises and even countries, and how to master and manage human resources has always been a problem. Nowadays, the development of science and technology has made the processing of various data simple, and green data processing centers that save energy have also been established. This paper is to study the role of green

Natural hazards like droughts give hard hit to economies, hydrological circle and human lives. Climatic fluctuations have exacerbate the chances of such calamities in future. The consequences can be abbreviated to some degree by predicting it and doing forward planning for such situations. Several drought indices evaluate the intensity of droughts but are incapable of covering most of the important

Data center profits are directly impacted by electric power consumption, which in turn has critical environmental implications. Geo distributed data centers maximize profits by optimizing resource allocation and leveraging diverse power tariffs available in a deregulated market. However, a power network state apathetic profit maximization can destabilize the grid and hamper a data center's sustainability

The huge load on the cluster head (CH) nodes in the clustered Wireless Sensor Network (WSN) is still a problem that causes premature death for those overloaded nodes. In this paper, we have practically proved that CH-load reduction has the largest effect on enhancing the energy efficiency of the clustering algorithms compared to some other energy efficiency- enhancing factors. So, this paper also proposes

Energy-efficient mechanisms for reducing the latency in queuing of multiple threads running on multi-core chips have been a topic of great interest. This is because not only is a high latency undesirable, but it also collectively exacerbates the energy consumption. For lowering latency, one can use techniques such as lock-free algorithms, but they keep threads spinning, incurring high CPU usage, which

An IoT-enabled cluster of automobiles provides a rich source of computational resources, in addition to facilitating efficient collaboration with vehicle-to-vehicle and vehicle-to-infrastructure communication. This is enabled by vehicular fog computing where vehicles are used as fog nodes and provide cloud-like services to the Internet of things (IoT) and are further integrated with the traditional

The workload generated by the Internet of Things (IoT)-based infrastructure is often handled by the cloud data centers (DCs). However, in recent time, an exponential increase in the deployment of the IoT-based infrastructure has escalated the workload on the DCs. So, these DCs are not fully capable to meet the strict demand of IoT devices in regard to the lower latency as well as high data rate while

The topology optimization method (TOM) is a valuable tool to obtain conceptual designs in many scientific fields. However, small-scale problems have traditionally been considered due to the high computational resources this method demands. For example, hundreds of costly optimization iterations are needed, in which millions of design variables are used and where simulation of complex multiphysics phenomena

In the conventional router architecture of Network-on-Chips (NoCs), each input port employs a set of dedicated flit buffers to store incoming flits. This mechanism unevenly distributes flits among router buffers, which in turn leads to higher packet blocking rates and under utilization of buffers. In this paper, we address this problem by proposing two novel buffering mechanisms and their corresponding

Colocation data centers (colocations, for short) are developing rapidly and have become ideal participants for emergency demand response (EDR) programs. However, even colocation operators wish to save energy, they cannot achieve energy reduction without coordination from the tenants, because the servers in the colocations are owned and operated by the tenants. To solve the “uncoordinated relationship”

One of the great challenges of today's computer memory architectures has been their energy consumption. In this sense, DRAM technology has come close to its scalability limit due to energy issues. Thus, new technologies have emerged intending to replace DRAM as main memory. In this context, non-volatile memories emerge promising to be an alternative for low energy consumption memory systems. Due to

Virtual Machine (VM) live migration is one of the strategic approaches that can be employed to reduce energy consumption and increase the utilisation of a large computing infrastructure. In this paper, we implement the pre-copy live migration algorithm to provide a test environment for live job migration in a high throughput computing system (HTC). We present details of our extension into the HTC-Sim

Performance of the compute-intensive multichip platforms such as micro-servers and embedded systems are limited by the latency and power hungry chip-to-chip interconnections. Millimeter wave (mm-wave) wireless interconnection networks have emerged as an energy-efficient and low-latency solution for such multichip system communication. We refer such multichip systems with in-package mm-wave wireless

Issues related to energy consumption and its efficiency in large-scale computing environments have emerged as critical points in the development of modern computer systems. This article presents the Samsara architecture, which aims to manage energy-efficient computational clouds. The architecture was developed exploring situation awareness strategies, operating autonomously and with minimal human intervention

For real-time embedded systems, energy management and fault tolerance are both critical. However these two objectives are often at odds, because extra resources needed to tolerate faults significantly increase the energy consumption. In this paper, we consider energy-aware and fault-tolerant scheduling of periodic real-time tasks. Our target platform is a heterogeneous multicore system. We reduce the

In modern embedded systems, the use of hardware-level online power monitors is crucial to support the run-time power optimizations required to meet the ever increasing demand for energy efficiency. To be effective and to deal with the time-to-market pressure, the presence of such requirements must be considered even during the design of the power monitoring infrastructure. This paper presents a power

Quantum circuits of arithmetic operations such as addition are needed to implement quantum algorithms in hardware. Quantum circuits based on Clifford+T gates are used as they can be made tolerant to noise. The trade-off of gaining fault tolerance from using Clifford+T gates and error-correcting codes is the high implementation overhead of the T gate. As a result, the T-count and T-depth performance

Power management is one of the significant challenges to be addressed in multi-/many-core microprocessors. Furthermore, the multi-core microprocessors experience unforeseen scenarios such as performance degradation over time, manufacturing defects, power, and thermal impacts with time. Traditional power management techniques, though efficient, is not designed to handle such unseen scenarios. Furthermore

Grid-tied solar is governed by a variety of complex regulations. Since a higher solar penetration imposes indirect costs on the grid, these regulations generally limit the aggregate amount of grid-tied solar, as well as the compensation its owners receive. These regulations are also increasingly limiting solar's natural growth by preventing users from connecting it to the grid. One way to address the

Cucumber is one of the important crop and farmers of most of the counties are cultivating the cucumber crop. Generally, this crop is infected with Angular Spot, Anthracnose etc. In past research community has developed various learning models to identify the disease in cucumber crop in early-stage and reported maximum accuracy of 85.7%. In proposed work, a Convolution Neural Network based approach

Graph algorithms are critical components of the big-data analysis workflow. The graph kernel performance is highly dependent on the input data graphs. The inherently sparse nature of the input graphs often results in irregular memory access patterns, which may not suit the data-locality based cache optimizations featured in current high-performance processors. Much prior research has identified several

Due to the ubiquitous nature of smartphones, opportunistic phone-based crowdsensing has emerged as an important sensing modality. Since fine-grain ambient temperature measurements are a pre-requisite for energy-efficient operation of heating and cooling (HVAC) systems in buildings, in this paper, we use mobile phone sensing in conjunction with a web-based crowdsensing system to obtain detailed ambient

The distributed tree-based data communication protocol is a widely accepted efficient method in wireless sensor network-enabled Internet of Things (IoT). Due to increasing demand for IoT applications, cognitive radio sensors play a vital role in spectrum utilization. This short communication proposes a delay aware, energy-efficient data communication protocol (DEDC) for cognitive radio sensor networks

Modern embedded systems are in charge of an increasing number of tasks that extensively employ floating-point (FP) computations. The ever-increasing efficiency requirement, coupled with the additional computational effort to perform FP computations, motivates several microarchitectural optimizations of the FPU. This manuscript presents a novel modular FPU microarchitecture, which targets modern embedded

Energy efficiency and security are considered as important issues in the design of pervasive wireless networks. Since the nodes in pervasive wireless networks are battery-operated, it becomes essential to develop an energy-efficient method to minimize energy consumption and prolong the network lifetime. This paper presents new energy-efficient and secure clustering based data transmission in pervasive

Minimizing the costs of cloud services is important for cloud service providers to grow their business. In cost calculation of cloud services, power consumption cost is a major factor. The variability present in renewable power generation, electricity price, and power demand variates the power utilization expenditures. Due to high computational requests, datacenters consume enormous energy every day

Die-stacked DRAM has emerged as an effective approach to address the memory bandwidth wall as it offers much higher bandwidth than off-chip DRAM. It is typically used along with much larger off-chip DRAM to form a hybrid memory system with sufficient capacity and abundant bandwidth. Lots of research activities have been drawn to exploit the potentials of such memory systems. One of the approaches is

As a clean and renewable energy source, solar energy has the advantages of inexhaustible, pure and pollution-free. Photovoltaic power generation is different from traditional thermal power generation in that it is more susceptible to external environmental factors. In addition, there are a large number of power electronic devices in the entire system. These various factors will bring a significant

The rapid development of urbanization has driven irreversible changes in land use, the Chinese government has adopted ‘the National New-type Urbanization Plan’ focusing on rational utilization of resources, which will be of great significance effect to the sustainability, rational and intensive land use. This article built indicator systems to measure the level of new-type urbanization and the sustainability

In mobile ad hoc network (MANET), battery power is a significant resource for mobile devices. Hence conservation of energy and prolonging the network lifetime must be considered when designing routing protocols. But design of an energy-efficient routing protocol requires various factors of nodes from different layers, such as remaining energy, total traffic load and the number of channel contentions

Sustainable energy efficient networking models are needed to satisfy the increasing demands of the information and communication technologies (ICT) applications like healthcare, smart cities, education, and so on. The futuristic sustainable computing solutions in e-healthcare applications are based on the Internet of Things (IoT) and cloud computing platform, has offered numerous features and real

The most fundamental task of the wireless sensor network (WSN) is to monitor a specified region of interest with sufficient sensor coverage. This task is jeopardized when coverage holes appear after the network's deployment. The emergence of coverage holes is unavoidable for many reasons such as sensor node energy depletion, physical damage, or external attacks. Therefore, it is important to have an

Cloud Computing emerged from Grid Computing empowered with the concept of virtualization. The advantage of switching to a virtual environment is quite beneficial, however in cloud computing there are significant problems pertaining to performance and cost optimization because of various kinds of resource requirement and execution of multiple jobs. Thus the level of performance and criteria of SLA to

Modern processors are, in addition to general purpose cores, equipped with specialized hardware units, such as processor integrated GPUs (iGPUs), which are used in the investigations of this article. An iGPU is directly connected to the cores and provides several benefits, including low cost and energy efficiency. For the execution of scientific applications on iGPUs, the OpenCL framework is a suitable

The use of deep networks in agriculture has increased enormously in the last decade including their use to classify different plant leaf stresses. More recently, a large number of deep learning-based approaches for plant leaf stress identification have been proposed in literature but there are only a few partial efforts to summarize different contributions. Hence, there is a dire need of a detailed

Internet of Things (IoT) as an emerging technology provides interconnections between various objects with three features, i.e., anything, anyplace, and anytime. Due to the high number of objects in the IoT and their proximity to humans, energy efficiency is a fundamental requirement for this technology. In general, paying attention to energy efficiency at various levels of IoT leads to Green IoT (GIoT)

The internet era in general, and information technology in particular, have enabled synthesis between different types of information systems across a company's divisions in ways that were previously impossible. EBA software is usually measured as a single construct, whereas this study has deconstructed the term, EBA software, to provide a comprehensive understanding of its roles from a theoretical

Recurrent or non-recurrent temperature and humidity variations trigger various damages on the inside and outside surfaces of buildings, which eventually leads to poor insulation, additional energy consumption, and expensive repairing plan. Formal thermal inspection by professionals are expensive, often inconclusive and inconvenient for continuous or frequent monitoring. Thermal condition monitoring

Communication among nodes plays an important role in any system's throughput. In some architecture, communication plays a bottleneck which degrades the computation power. However, making a high-performance computational system along with the energy-efficient system is incompatible in many cases. In this paper, we present a routing methodology in an optical networks on chip (O-NoC). The proposed methodology