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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…

分布式、并行与集群计算 · 计算机科学 2019-05-10 Prateeksha Varshney , Yogesh Simmhan

The Internet of Things (IoT) aims to connect billions of smart objects to the Internet, which can bring a promising future to smart cities. These objects are expected to generate large amounts of data and send the data to the cloud for…

网络与互联网体系结构 · 计算机科学 2017-03-22 Charith Perera , Yongrui Qin , Julio C. Estrella , Stephan Reiff-Marganiec , Athanasios V. Vasilakos

Emerging technologies that generate a huge amount of data such as the Internet of Things (IoT) services need latency aware computing platforms to support time-critical applications. Due to the on-demand services and scalability features of…

分布式、并行与集群计算 · 计算机科学 2020-12-24 Ranesh Kumar Naha , Saurabh Garg , Andrew Chan

Industry 4.0 becomes possible through the convergence between Operational and Information Technologies. All the requirements to realize the convergence is integrated on the Fog Platform. Fog Platform is introduced between the cloud server…

分布式、并行与集群计算 · 计算机科学 2019-06-27 Jia Qian , Sayantan Sengupta , Lars Kai Hansen

Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet of Things (IoT) devices with scalable computing and storage resources. Compared to cloud computing, edge/fog servers have fewer resources, but they can…

分布式、并行与集群计算 · 计算机科学 2021-08-03 Mohammad Goudarzi , Qifan Deng , Rajkumar Buyya

Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet of Things (IoT) devices with scalable computing and storage resources. Compared to cloud computing, edge/fog servers have fewer resources, but they can…

分布式、并行与集群计算 · 计算机科学 2021-08-10 Qifan Deng , Rajkumar Buyya

Internet of Things (IoT) is a system of interrelated devices that can be used to allow large-scale collection and analysis of data. However, as it grew, IoT networks were not capable of managing the data from these services. As a result,…

网络与互联网体系结构 · 计算机科学 2020-02-05 Marc Baucas , Petros Spachos

With the rapid growth of the Internet of Things (IoT) and a wide range of mobile devices, the conventional cloud computing paradigm faces significant challenges (high latency, bandwidth cost, etc.). Motivated by those constraints and…

分布式、并行与集群计算 · 计算机科学 2022-11-04 Thong Vo , Pranjal Dave , Gaurav Bajpai , Rasha Kashef

The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart environments in various domains. The IoT-enabled Cyber-Physical Systems (CPSs) associated with smart city, healthcare, Industry 4.0 and Agtech handle a…

分布式、并行与集群计算 · 计算机科学 2020-07-28 Redowan Mahmud , Kotagiri Ramamohanarao , Rajkumar Buyya

The ever-increasing growth in the number of connected smart devices and various Internet of Things (IoT) verticals is leading to a crucial challenge of handling massive amount of raw data generated from distributed IoT systems and providing…

网络与互联网体系结构 · 计算机科学 2019-08-01 Ali Alnoman , Shree Krishna Sharma , Waleed Ejaz , Alagan Anpalagan

The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure. Although there are a number of…

分布式、并行与集群计算 · 计算机科学 2018-11-30 Shreshth Tuli , Redowan Mahmud , Shikhar Tuli , Rajkumar Buyya

Novel Internet of Things (IoT) requirements derived from a broader interconnection of heterogeneous devices have pushed the horizons of Cloud computing and are giving rise to a wider decentralisation of applications and data centers. An…

网络与互联网体系结构 · 计算机科学 2020-05-04 Liliana I. Carvalho , Daniel. M. Silva , R. C. Sofia

With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for…

网络与互联网体系结构 · 计算机科学 2019-02-15 Ashkan Yousefpour , Caleb Fung , Tam Nguyen , Krishna Kadiyala , Fatemeh Jalali , Amirreza Niakanlahiji , Jian Kong , Jason P. Jue

Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computing paradigm behind IoT applications. However, because large…

分布式、并行与集群计算 · 计算机科学 2023-10-24 Zhiyu Wang , Mohammad Goudarzi , Mingming Gong , Rajkumar Buyya

The number of Internet of Things (IoT) applications, especially latency-sensitive ones, have been significantly increased. So, Cloud computing, as one of the main enablers of the IoT that offers centralized services, cannot solely satisfy…

分布式、并行与集群计算 · 计算机科学 2023-08-08 Wuji Zhu , Mohammad Goudarzi , Rajkumar Buyya

Internet of Things (IoT) have widely penetrated in different aspects of modern life and many intelligent IoT services and applications are emerging. Recently, federated learning is proposed to train a globally shared model by exploiting a…

网络与互联网体系结构 · 计算机科学 2020-05-05 Qiong Wu , Kaiwen He , Xu Chen

The advancements in the use of Internet of Things (IoT) devices is increasing continuously and generating huge amounts of data in a fast manner. Cloud computing is an important paradigm which processes and manages user data effectively.…

分布式、并行与集群计算 · 计算机科学 2022-03-01 Sukhpal Singh Gill

The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has…

With rapid technological advancements within the domain of Internet of Things (IoT), strong trends have emerged which indicate a rapid growth in the number of smart devices connected to IoT networks and this growth cannot be supported by…

网络与互联网体系结构 · 计算机科学 2019-12-03 G. S. S. Chalapathi , Vinay Chamola , Aabhaas Vaish , Rajkumar Buyya

Abstract--- With the rapid growth of the Internet of Things (IoT), current Cloud systems face various drawbacks such as lack of mobility support, location-awareness, geo-distribution, high latency, as well as cyber threats. Fog/Edge…

密码学与安全 · 计算机科学 2019-06-05 Nour Moustafa
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