Article
Computer Science, Artificial Intelligence
Yogesh Gupta
Summary: Cloud storage, a type of distributed storage based on cloud computing technology, emerged to efficiently manage the rapidly expanding data in cyberspace. It acts as a repository for data storage, management, and user accessibility, aiming to balance server load, reduce response time, and leverage overall system performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Review
Computer Science, Information Systems
Neha Thakur, Avtar Singh, A. L. Sangal
Summary: This paper presents a systematic review of existing cloud service selection approaches, analyzing them across eight dimensions such as decision-making methods, context, and cloud service performance parameters. The study identifies open research issues and critical challenges in cloud service selection. The contribution of this research lies in focusing on state-of-the-art approaches, highlighting their benefits and drawbacks, offering a taxonomy, and identifying future research directions.
COMPUTER SCIENCE REVIEW
(2022)
Article
Computer Science, Information Systems
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
Summary: The paper introduces JointDNN, an engine for collaborative computation between mobile devices and the cloud for DNNs, which improves energy and performance efficiency for mobile devices while reducing the workload and communications for the cloud server. By processing some layers on mobile devices and others on the cloud server, JointDNN can adapt to battery limitations, server load constraints, and quality of service requirements, achieving significant reductions in latency and mobile energy consumption compared to traditional approaches.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Zhu Han, Ke Xu, Haipeng Yao, Song Guo
Summary: This study proposes a blockchain-based computing-power trading framework (AI-Bazaar) to address issues such as low computing power utilization, selfish trading mechanisms, and inefficient AI services management. The algorithm utilizes a profit-balanced multi-agent reinforcement learning approach and demonstrates the performance and effectiveness of the framework through numerical simulations.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Nhu-Ngoc Dao, Anh-Tien Tran, Ngo Hoang Tu, Tran Thien Thanh, Vo Nguyen Quoc Bao, Sungrae Cho
Summary: This article provides a contemporary survey of cutting-edge live video streaming studies from a computation-driven perspective. It presents an overview of global standards, system architectures, and streaming protocols. Hierarchical computation-driven models of live video streaming, including cloud-, edge-, and peer-to-peer-based solutions, are explored. The article reviews cutting-edge studies that have improved system performance in various areas and presents open challenges for future research in the field.
ACM COMPUTING SURVEYS
(2022)
Article
Computer Science, Information Systems
Ziran Wang, Rohit Gupta, Kyungtae Han, Haoxin Wang, Akila Ganlath, Nejib Ammar, Prashant Tiwari
Summary: This study developed a mobility digital twin (MDT) framework for mobility services, which includes physical building blocks of human, vehicle, and traffic, along with their digital twins. A case study of a personalized adaptive cruise control system was conducted, integrating key microservices of all three digital building blocks.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Mihan Hosseinnezhad, Mohammad Abdollahi Azgomi, Mohammad Reza Ebrahimi Dishabi
Summary: With the rapid adoption of cloud computing in the industry, building trust between cloud service providers and users has become challenging. This paper proposes a new trust model for cloud services using a Bayesian network to assess the trustworthiness of services based on their quality of service (QoS). Experimental results show that the proposed trust model is highly accurate and reduces estimation error.
Article
Computer Science, Theory & Methods
Hossein Shafiei, Ahmad Khonsari, Payam Mousavi
Summary: The emerging serverless computing paradigm brings benefits such as less operational complexity, a pay-as-you-go pricing model, and an auto-scaling feature. It also opens up new opportunities and challenges for cloud application developers. The research areas related to serverless applications and the challenges and solutions in those areas are worth attention.
ACM COMPUTING SURVEYS
(2022)
Article
Computer Science, Information Systems
Usama Ahmed, Imran Raza, Omer F. Rana, Syed Asad Hussain
Summary: Cross-Cloud Federation enables resource exchange among multiple Cloud Service Providers to support service composition. This article proposes a novel Aggregated Capability Assessment approach to evaluate the combined capability of federation participants in cloud-to-cloud interaction. Experimental results demonstrate its usefulness in partner selection for a dynamic, heterogeneous cloud federation.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Theory & Methods
Tian Wang, Yuzhu Liang, Xuewei Shen, Xi Zheng, Adnan Mahmood, Quan Z. Sheng
Summary: Sensor-cloud, originating from wireless sensor networks and cloud computing, has been extensively studied in specific aspects such as security, management mechanisms, and architectural challenges. However, existing research lacks in addressing the urgent issues of reliability, energy, and heterogeneity in the sensor-cloud. To bridge this gap, this study conducts a thorough survey, providing an in-depth discussion on the origins and comprehensive analysis of these three key challenges.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Information Systems
Gabriele Morabito, Christian Sicari, Armando Ruggeri, Antonio Celesti, Lorenzo Carnevale
Summary: Nowadays, many Cloud companies adopt serverless computation based on the Function as a Service (FaaS) paradigm. Complex systems may now be viewed as a graph of serverless functions distributed over the Cloud and Edge layers. This work relies on Osmotic Computing principles to enhance the security and execution time of serverless applications.
INTERNET OF THINGS
(2023)
Review
Computer Science, Software Engineering
Mohammadreza Razian, Mohammad Fathian, Rami Bahsoon, Adel N. Toosi, Rajkumar Buyya
Summary: This paper presents a systematic literature review on service composition under uncertainty. It identifies and classifies existing studies, discusses trends and future research directions in this field.
JOURNAL OF SYSTEMS AND SOFTWARE
(2022)
Review
Computer Science, Hardware & Architecture
Ahmad Salah AlAhmad, Hasan Kahtan, Yehia Ibrahim Alzoubi, Omar Ali, Ashraf Jaradat
Summary: Mobile cloud computing (MCC) is a popular technology, but it currently faces critical security issues including authentication, privacy, and trust. Existing MCC models lack comprehensive protection for data, resources, and communication channels. Further research and design solutions are needed from model developers and practitioners.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Mathematics
Sunil K. Panigrahi, Veena Goswami, Hemant K. Apat, Ganga B. Mund, Himansu Das, Rabindra K. Barik
Summary: This paper proposes a priority-queueing assisted mist-cloud-fog system for efficient resource allocation for high- and low-priority tasks. It dynamically allocates mist nodes and assigns tasks based on priority, reducing delay and power consumption.
Article
Chemistry, Analytical
Salman A. AlQahtani
Summary: In recent years, IoT advancements have greatly improved remote healthcare services by ensuring scalability, high bandwidth, low latency, and low power consumption. A fifth-generation network slicing-based healthcare system and wireless sensor network are proposed to meet these requirements. By implementing network slicing, the physical network can be partitioned into logical slices based on quality of service (QoS) needs, enhancing resource management. This research proposes an IoT-fog-cloud architecture for e-Health services, consisting of a cloud radio access network, fog computing system, and cloud computing system. The proposed model, analyzed through a queuing network and numerical example simulation, improves the quality of service in a more efficient way compared to traditional systems through the selection of the right slice.
