24 papers · ranked by Valyu relevance
Ranesh Kumar Naha, Saurabh Garg, Dimitrios Georgakopoulos, Prem Prakash Jayaraman + 3 more
'Prem Prakash Jayaraman' 'Longxiang Gao' 'Yong Xiang' 'Rajiv Ranjan'] Emerging technologies like the Internet of Things (IoT) require latency-aware computation for real-time application processing. In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data. Data…
Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, Jari Nurmi + 3 more
'Leandros Maglaras' 'Helge Janicke' 'Mohamed Amine Ferrag'] The field of information security and privacy is currently attracting a lot of research interest. Simultaneously, different computing paradigms from Cloud computing to Edge computing are already forming a unique ecosystem with different architectures, storage…
Ahmed M. Alwakeel, Koffi-Clément Yao
With the advancement of different technologies such as 5G networks and IoT the use of different cloud computing technologies became essential. Cloud computing allowed intensive data processing and warehousing solution. Two different new cloud technologies that inherit some of the traditional cloud computing paradigm…
Arslan Munir, Prasanna Kansakar, Samee U. Khan
—We propose a novel integrated fog cloud IoT (IFCIoT) architectural paradigm that promises increased performance, energy efficiency, reduced latency, quicker response time, scalability, and better localized accuracy for future IoT applications. The fog nodes (e.g., edge servers, smart routers, base stations) receive…
Guangshun Li, Yuncui Liu, Junhua Wu, Dandan Lin + 1 more
Cloud computing technology is widely used at present. However, cloud computing servers are far from terminal users, which may lead to high service request delays and low user satisfaction. As a new computing architecture, fog computing is an extension of cloud computing that can effectively solve the aforementioned…
Dang Van Thang, Artem Volkov, Ammar Muthanna, Andrey Koucheryavy + 3 more
With the continuing development of technology, telepresence services have emerged as an essential part of modern communication systems. Concurrently, the rapid growth of fog computing presents new opportunities and challenges for integrating telepresence capabilities into distributed networks. Fog computing is a…
Muhammad Mazhar Bukhari, Taher M. Ghazal, Sagheer Abbas, M. A. Khan + 4 more
'Umer Farooq' 'Hasan Wahbah' 'Munir Ahmad' 'Khan Muhammad Adnan'] Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of…
Hyun-Jong Cha, Ho-Kyung Yang, You-Jin Song
It is expected that the number of devices connecting to the Internet-of-Things (IoT) will increase geometrically in the future, with improvement of their functions. Such devices may create a huge amount of data to be processed in a limited time. Under the IoT environment, data management should play the role of an…
Blesson Varghese, Nan Wang, Dimitrios S. Nikolopoulos, Rajkumar Buyya
'Rajkumar Buyya'] Abstract—As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the user. This reduces the latency of communication between…
João Bachiega, Breno Costa, Aletéia Araújo
—Fog computing is a recent computational paradigm that was proposed to solve some weaknesses in cloud-based systems. For this reason, this technology has been extensively studied by several technology areas. It is still in a maturing stage, so there is no consensus in academia about its concepts and definitions, and…
Jitendra Bhatia, Kiran Italiya, Kuldeepsinh Jadeja, Malaram Kumhar + 9 more
'Uttam Chauhan' 'Sudeep Tanwar' 'Madhuri Bhavsar' 'Ravi Sharma' 'Daniela Lucia Manea' 'Marina Verdes' 'Maria Simona Raboaca' 'Weizhe Zhang' 'Ibrahim A. Elgendy'] With the rapid growth in the data and processing over the cloud, it has become easier to access those data. On the other hand, it poses many technical and…
Tom H. Luan, Longxiang Gao, Zhi Li, Yang Xiang + 2 more
'Limin Sun'] With smart devices, particular smartphones, becoming our everyday companions, the ubiquitous mobile Internet and computing applications pervade people's daily lives. With the surge demand on high-quality mobile services at anywhere, how to address the ubiquitous user demand and accommodate the explosive…
Yogesh Simmhan
- Fog Computing A model of distributed computing comprising of virtualized, heterogeneous, commodity computing and storage resources for hosting applications, analytics, content and services, that are accessible with low latency from the edge of wide area networks where clients are present, while also having back-end…
Alexandra A. Kirsanova, Gleb Radchenko, Andrei Tchernykh
As the Internet of Things (IoT) becomes a part of our daily life, there is a rapid growth in the connected devices. A well-established approach based on cloud computing technologies cannot provide the necessary quality of service in such an environment, particularly in terms of reducing data latency. Today, fog…
Prateeksha Varshney, Yogesh Simmhan
Internet of Things (IoT) has accelerated the deployment of millions of sensors at the edge of the network, through Smart City infrastructure and lifestyle devices. Cloud computing platforms are often tasked with handling these large volumes and fast streams of data from the edge. Recently, Fog computing has emerged as…
Han-Yu Lin, Tung-Tso Tsai, Pei-Yih Ting, Ching-Chung Chen + 1 more
'Raffaele Bruno'] In a fog-enabled IoT environment, a fog node is regarded as the proxy between end users and cloud servers to reduce the latency of data transmission, so as to fulfill the requirement of more real-time applications. A data storage scheme utilizing fog computing architecture allows a user to share cloud…
Jacob M. Luber, Braden T. Tierney, Evan M. Cofer, Chirag J. Patel + 1 more
Across biology we are seeing rapid developments in scale of data production without a corresponding increase in data analysis capabilities. Here, we present Aether (http://aether.kosticlab.org), an intuitive, easy-to-use, cost-effective, and scalable framework that uses linear programming (LP) to optimally bid on and…
Qianqian Fang, Shijie Yan
Despite the ample progress made towards faster and more accurate Monte Carlo (MC) simulation tools over the past decade, the limited usability and accessibility of these advanced modeling tools remain key barriers towards widespread use among the broad user community. An open-source, high-performance, web-based MC…
Ling-Hong Hung, Niharika Nasam, Wes Lloyd, Ka Yee Yeung
Singe cell RNA sequencing (scRNA-seq) has become a routine method for measuring cell activities. Processing large scRNA-seq datasets requires high-performance computing resources. The emergence of cloud computing allows us to leverage its on-demand capabilities without major investment in infrastructure. Serverless…
Ling-Hong Hung, Dimitar Kumanov, Xingzhi Niu, Wes Lloyd + 1 more
We have used serverless AWS Lambda functions to align 640 million reads in less than 3 minutes, a speed-up of 500x over the single-threaded implementation. Using a hybrid cloud architecture and software modified to optimize disk transfers, an entire RNA sequencing workflow transforming multiplexed reads to transcript…
PJ Tatlow, Stephen R. Piccolo
Public compendia of raw sequencing data are now measured in petabytes. Accordingly, it is becoming infeasible for individual researchers to transfer these data to local computers. Recently, the National Cancer Institute funded an initiative to explore opportunities and challenges of working with molecular data in…
Samantha Durdy, Cameron J. Hargreaves, Mark Dennison, Benjamin Wagg + 5 more
The discovery of new materials often requires collaboration between experimental and computational chemists. Web based platforms allow more flexibility in this collaboration by giving access to computational tools without the need for access to computational researchers. We present Liverpool Materials Discovery Server…
Dylan Bannon, Erick Moen, Morgan Schwartz, Enrico Borba + 11 more
Deep learning is transforming the ability of life scientists to extract information from images. These techniques have better accuracy than conventional approaches and enable previously impossible analyses. As the capability of deep learning methods expands, they are increasingly being applied to large imaging…
Seyhan Yazar, George E C Gooden, David A Mackey, Alex W Hewitt
A major bottleneck in biological discovery is now emerging at the computational level. Cloud computing offers a dynamic means whereby small and medium-sized laboratories can rapidly adjust their computational capacity. We benchmarked two established cloud computing services, Amazon Web Services Elastic MapReduce (EMR)…