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There is a dynamic escalation and extension in the new infrastructure, educating personnel and licensing new computer programs in the field of IT, due to the emergence of Cloud Computing (CC) paradigm. It has become a quick growing segment…

密码学与安全 · 计算机科学 2017-02-24 M. Omer Mushtaq , Furrakh Shahzad , M. Owais Tariq , Mahina Riaz , Bushra Majeed

The increasing complexity of IoT applications and the continuous growth in data generated by connected devices have led to significant challenges in managing resources and meeting performance requirements in computing continuum…

分布式、并行与集群计算 · 计算机科学 2025-01-22 Sergio Laso , Ilir Murturi , Pantelis Frangoudis , Juan Luis Herrera , Juan M. Murillo , Schahram Dustdar

Nowadays companies are increasingly adopting the technology ofcloud computing. This technology is subject to a lot of research and continuousadvances are made. The use of cloud computing in the companies advantagessuch as: reducing costs,…

The enterprises today are faced with the tough challenge of processing, storing large amounts of data in a secure, scalable manner and enabling decision makers to make quick, informed data driven decisions. This paper addresses this…

密码学与安全 · 计算机科学 2025-09-18 Vijay Kumar Butte , Sujata Butte

Analytics on personal data, such as individuals' mobility, financial, and health data can be of significant benefit to society. Such data is already collected by smartphones, apps and services today, but liberal societies have so far…

The cloud computing paradigm offers clients ubiquitous and on demand access to a shared pool of computing resources, enabling the clients to provision scalable services with minimal management effort. Such a pool of resources, however, is…

密码学与安全 · 计算机科学 2018-08-30 Hung Dang , Dat Le Tien , Ee-Chien Chang

Security and confidentiality of big data stored in the cloud are important concerns for many organizations to adopt cloud services. One common approach to address the concerns is client-side encryption where data is encrypted on the client…

密码学与安全 · 计算机科学 2019-08-15 SM Zobaed , Sahan Ahmad , Raju Gottumukkala , Mohsen Amini Salehi

Distributed caches are widely deployed to serve social networks and web applications at billion-user scales. This paper presents Cache-on-Track (CoT), a decentralized, elastic, and predictive caching framework for cloud environments. CoT…

分布式、并行与集群计算 · 计算机科学 2020-06-19 Victor Zakhary , Lawrence Lim , Divyakant Agrawal , Amr El Abbadi

Several researchers have proposed solutions for secure data outsourcing on the public clouds based on encryption, secret-sharing, and trusted hardware. Existing approaches, however, exhibit many limitations including high computational…

数据库 · 计算机科学 2018-12-06 Sharad Mehrotra , Kerim Yasin Oktay , Shantanu Sharma

Cloud computing is recognized as one of the most promising solutions to information technology, e.g., for storing and sharing data in the web service which is sustained by a company or third party instead of storing data in a hard drive or…

分布式、并行与集群计算 · 计算机科学 2018-12-14 A. Roy , A. P. Misra , S. Banerjee

The global economic recession and the shrinking budget of IT projects have led to the need of development of integrated information systems at a lower cost. Today, the emerging phenomenon of cloud computing aims at transforming the…

分布式、并行与集群计算 · 计算机科学 2016-03-02 B. Kamala , B. Priya , J. M. Nandhini

Privacy-preserving data processing refers to the methods and models that allow computing and analyzing sensitive data with a guarantee of confidentiality. As cloud computing and applications that rely on data continue to expand, there is an…

密码学与安全 · 计算机科学 2026-01-13 Gaurav Sarraf , Vibhor Pal

Sensitive records stored in the cloud such as healthcare records, private conversation and credit card information are targets of hackers and privacy abuse. Current information and record management systems have difficulties achieving…

Cloud computing allows users to view computing in a new direction, as it uses the existing technologies to provide better IT services at low-cost. To offer high QOS to customers according SLA, cloud services broker or cloud service provider…

分布式、并行与集群计算 · 计算机科学 2012-09-13 K. Venkataramana , M. Padmavathamma

Cloud-enabled large-scale distributed systems orchestrate resources and services from various providers in order to deliver high-quality software solutions to the end users. The space and structure created by such technological advancements…

软件工程 · 计算机科学 2018-08-14 Andreea Buga , Sorana Tania Nemes , Atif Mashkoor

Nowadays, the rapid increases of the scale and complexity of the controlled plants bring new challenges such as computing power and storage for conventional control systems. Cloud computing is concerned as a powerful solution to handle the…

系统与控制 · 电气工程与系统科学 2023-03-06 Runze Gao , Yuanqing Xia , Li Dai , Zhongqi Sun

We consider robust resource allocation of services in Clouds. More specifically, we consider the case of a large public or private Cloud platform that runs a relatively small set of large and independent services. These services are…

分布式、并行与集群计算 · 计算机科学 2013-10-22 Olivier Beaumont , Lionel Eyraud-Dubois , Paul Renaud-Goud

Cloud computing enables users to process and store data remotely on high-performance computers and servers by sharing data over the Internet. However, transferring data to clouds causes unavoidable privacy concerns. Here, we present a…

密码学与安全 · 计算机科学 2024-08-12 Haleh Hayati , Nathan van de Wouw , Carlos Murguia

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed…

分布式、并行与集群计算 · 计算机科学 2016-11-15 Christian Vecchiola , Suraj Pandey , Rajkumar Buyya

Cloud computing provides a great opportunity for scientists, as it enables large-scale experiments that cannot are too long to run on local desktop machines. Cloud-based computations can be highly parallel, long running and data-intensive,…

软件工程 · 计算机科学 2016-12-07 Maria Spichkova , Heinz W. Schmidt , Ian E. Thomas , Iman I. Yusuf , Steve Androulakis , Grischa R. Meyer