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Estimating power consumption in modern Cloud environments is essential for carbon quantification toward green computing. Specifically, it is important to properly account for the power consumed by each of the running applications, which are…

分布式、并行与集群计算 · 计算机科学 2024-07-02 Sunyanan Choochotkaew , Chen Wang , Huamin Chen , Tatsuhiro Chiba , Marcelo Amaral , Eun Kyung Lee , Tamar Eilam

With the development of next-generation wireless networks, the Internet of Things (IoT) is evolving towards the intelligent IoT (iIoT), where intelligent applications usually have stringent delay and jitter requirements. In order to provide…

网络与互联网体系结构 · 计算机科学 2022-05-30 Kunlun Wang , Jiong Jin , Yang Yang , Tao Zhang , Arumugam Nallanathan , Chintha Tellambura , Bijan Jabbari

Increased complexity of network-based software solutions and the ever-rising number of concurrent users forced a shift of the IT industry to cloud computing. Conventional network software systems commonly based on monolithic application…

分布式、并行与集群计算 · 计算机科学 2022-01-31 M. Sipek , D. Muharemagic , B. Mihaljevic , A. Radovan

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer…

分布式、并行与集群计算 · 计算机科学 2022-12-13 Sakshi Chhabra , Ashutosh Kumar Singh

Industries are considering the adoption of cloud and edge computing for real-time applications due to current improvements in network latencies and the advent of Fog and Edge computing. Current cloud paradigms are not designed for real-time…

操作系统 · 计算机科学 2023-07-04 Isser Kadusale , Gautam Gala , Gerhard Fohler

The rapid advancement of generative artificial intelligence (AI) in recent years has profoundly reshaped modern lifestyles, necessitating a revolutionary architecture to support the growing demands for computational power. Cloud computing…

A key challenge in wide adoption of sophisticated context-aware applications is the requirement of continuous sensing and context computing. This paper presents Panorama, a middleware that identifies collaboration opportunities to offload…

分布式、并行与集群计算 · 计算机科学 2021-01-13 Khaled Alanezi , Xinyang Zhou , Lijun Chen , Shivakant Mishra

The transformation of smart mobility is unprecedented--Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting to low-carbon transport modalities result in new traffic…

分布式、并行与集群计算 · 计算机科学 2024-05-07 Zeinab Nezami , Emmanouil Chaniotakis , Evangelos Pournaras

Fog computing is an emerging paradigm that aims to meet the increasing computation demands arising from the billions of devices connected to the Internet. Offloading services of an application from the Cloud to the edge of the network can…

分布式、并行与集群计算 · 计算机科学 2020-01-28 Nan Wang , Blesson Varghese

Deploying deep neural networks on mobile devices is increasingly important but remains challenging due to limited computing resources. On the other hand, their unified memory architecture and narrower gap between CPU and GPU performance…

机器学习 · 计算机科学 2026-02-20 Zhuojin Li , Marco Paolieri , Leana Golubchik

Code offloading is promising to accelerate mobile applications and save energy of mobile devices by shifting some computation to cloud. However, existing code offloading systems suffer from a long communication delay between mobile devices…

分布式、并行与集群计算 · 计算机科学 2018-07-02 Li Lin , Xiaofei Liao

Mobile edge computing (MEC) and wireless power transfer (WPT) are two promising techniques to enhance the computation capability and to prolong the operational time of low-power wireless devices that are ubiquitous in Internet of Things.…

信号处理 · 电气工程与系统科学 2018-07-19 Fuhui Zhou , Yongpeng Wu , Rose Qingyang Hu , Yi Qian

Virtualization, a technique once used to multiplex the resources of high-priced mainframe hardware, is seeing a resurgence in applicability with the increasing computing power of commodity computers. By inserting a layer of software between…

操作系统 · 计算机科学 2007-05-23 Nadir Kiyanclar

Cloud elasticity - the ability to use as much resources as needed at any given time - and low cost - a user pays only for the resources it consumes - represent solid incentives for many organizations to migrate some of their computational…

分布式、并行与集群计算 · 计算机科学 2013-07-15 Ashkan Paya , Dan C. Marinescu

The emerging 5G paradigm will enable multi-radio smartphones to run high-rate stream applications. However, since current smartphones remain resource and battery-limited, the 5G era opens new challenges on how to actually support these…

网络与互联网体系结构 · 计算机科学 2019-06-19 Enzo Baccarelli , Michele Scarpiniti , Alireza Momenzadeh

Computing as you know it is about to change, your applications and documents are going to move from the desktop into the cloud. I'm talking about cloud computing, where applications and files are hosted on a "cloud" consisting of thousands…

分布式、并行与集群计算 · 计算机科学 2010-03-23 Shivaji P. Mirashe , N. V. Kalyankar

Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks) platforms with features such as…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Khalid Alhamazani , Rajiv Ranjan , Prem Prakash Jayaraman , Karan Mitra , Chang Liu , Fethi Rabhi , Dimitrios Georgakopoulos , Lizhe Wang

Augmented reality have undergone considerable improvement in past years. Many special techniques and hardware devices were developed, but the crucial breakthrough came with the spread of intelligent mobile phones. This enabled mass spread…

计算机视觉与模式识别 · 计算机科学 2011-06-29 David Prochazka , Michael Stencl , Ondrej Popelka , Jiri Stastny

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible…

密码学与安全 · 计算机科学 2015-06-04 Rohit Bhadauria , Sugata Sanyal

General-purpose compilers abstract away parallelism, locality, and synchronization, limiting their effectiveness on modern spatial architectures. As modern computing architectures increasingly rely on fine-grained control over data…