High Performance Computing (HPC) platforms like blade servers consist of multiple processor chips, which may be multicore CPUs, GPUs, memory modules and other subsystems. In such memory and computation intensive systems one-to-many traffic patterns originate from cache coherency, system-level synchronization mechanisms and other control signals. However, small portions of such traffic can introduce

This paper has proposed an integrated healthcare monitoring solution for the soldiers deployed in adverse environmental conditions, using the internet of things (IoT) with distributed computing. For these soldiers, the health parameters of every individual need to be monitored on a real-time basis and subsequent analysis of the dataset to be made for initiating appropriate medical support with the

This paper formulates a new multi-objective virtual machine placement problem, which is a challenging task in cloud datacenters. In cloud environment, there are two stakeholders, namely, users and providers. Both sides try to take more benefit whereas a trade-off between conflicting benefits is crucial. From providers’ perspective, power consumption, and resource wastage are two objectives to be optimized

Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost and meets the standard set in green computing. Task scheduling an important problem becomes more complex and critical under energy efficiency consideration. Key issues in recent research on energy efficient task scheduling are execution overhead and scalability. Machine learning has been widely employed

Background The severity of diseases and threats found in different crop varieties is one of the primary causes of degradation in the agricultural economy. Early detection and disease diagnosis in crops will facilitate farmers to improve their livelihood and mankind. Objective This study aimed to develop method for disease identification in several seasonal crops during their early stages using deep

Maintenance of green infrastructure requires persistent monitoring of soil water content, electrical conductivity (EC), temperature and relative humidity (RH). There is need to create relation among these parameters to deduce soil water content as to limit cost of introducing sensors. The present investigation means to measure the progression of these four parameters in a green infrastructure site

In recent years, some official reports, to produce best products regarding quality, quantity and economic conditions, recommend that the farming sector should benefit with new tools and techniques coming from Information and Communications Technology (ICT) realm. In this way, during last decade the deployment of sensing devices has increased considerably in the field of agriculture. This fact has led

Agricultural applications supported with information technologies increase plant production, protect soil and reduce labor, which is crucial for sustainable agriculture. Impacts of planting dates on production are very well known. In the current study machine learning algorithms have been used in determining planting date. The proposed method aims to help farmers to obtain higher yield providing them

This paper presents an Internet of Things (IoT) based system by designing a novel Nitrogen-Phosphorus-Potassium (NPK) sensor with Light Dependent Resistor (LDR) and Light Emitting Diodes (LED). The principle of colorimetric is used to monitor and analyze the nutrients present in the soil. The data sensed by the designed NPK sensor from the selected agricultural fields are sent to Google cloud database

The development of computerized automated diagnostic systems ensures more effective health screening in plants. In this way, the damage caused by diseases can be reduced by early detection. Light reflections from plant leaves are known to carry information about plant health. In the study, healthy and fusarium diseased peppers (capsicum annuum) was detected from the reflections obtained from the pepper

The innovative service process is a process that uses newly developed technologies to improve the current service models. The study proposes a creative service process based on the cloud computing platform of the Internet of Things and it can be used to improve the integration of the current cloud-to-physical networking and to improve the computing speed of the Internet of Things. In the past, most

Agriculture is one of the prime sources of economy and a large community is involved in cropping various plants based on the environmental conditions. However, a number of challenges are faced by the farmers including different diseases of plants. The detection and prevention of plant diseases are the serious concern and should be treated well on time for increasing the productivity. Therefore, an

Predicting soil moisture quantity could directly help the people engaged in sustainable agriculture and associated socio-economic structures. Recently researchers have engaged traditional and machine learning based models to predict soil moisture quantity. In the current study a modified Flower Pollination Algorithm (MFPA) has been employed to train Artificial Neural Network (ANN) to predict soil moisture

Livelihood security plays a critical role in strengthening the socio- economic situation of a country. Agriculture is one such sector which is expected to provide a complete array of economic, social, and environmental services. Good governance and management of allied policies at all levels is favourable for long-term sustainability of agricultural sector. The accountability of government is a direct

Sustainable computing provides a remote access to the diagnosis system for easy and fast implementation. The proposed approach measures glucose level in the blood through Dexcom G4 Plantinum sensors on diabetic patients. Based on the readings, Internet of Things (IoT) platform offer a sustainable solution to Diabetic Retinopathy. The purpose of this research is to save the life of the patient from

Green Computing aims to use of IT resources in an energy-efficient, cost-effective, and environmentally-friendly manner, through Greening the (use, disposal, design, and manufacturing) of computers and computer-related products which in turn effects the development of many sectors of a country. This research is a case study that discuss the drivers and challenges of green computing adoption for sustainable

Internet of Things (IoT) is the network of physical objects embedded with software, electronics, sensors and network connectivity which enables these objects to collect and exchange data. IoT based image processing is reaching up to a different level which is becoming a major part of everyone life. IoT based image segmentation is used to solve the real world problems like animal classification in wildlife

The significant role of plants can be observed through the dependency of animals and humans on them. Oxygen, materials, food and the beauty of the world are contributed by plants. Climate change, the decrease in pollinators, and plant diseases are causing a significant decline in both quality and coverage ratio of the plants and crops on a global scale. In developed countries, above 80 percent of rural

The urgent requirement of the sustainable computing determines that many security assurance protocols are designed with low computational cost. The design of the sustainable cloud storage auditing protocol is an attractive research filed in the security community. As we all know, secret keys of the data storage auditing in the cloud system are very sensitive. To enhance the security of the cloud data