Article
Computer Science, Information Systems
Chunlin Li, Mingyang Song, Chongchong Yu, Youlong Luo
Summary: The cooperative edge-cloud computing architecture is effective in reducing the burden on streaming media service systems, with streaming content caching being crucial. This paper proposes cache and content placement strategies based on user mobility and content popularity, resulting in significant improvement in user service quality.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Qing Han, Xuebin Ren, Peng Zhao, Yimeng Wang, Luhui Wang, Xinyu Yang, Cong Zhao
Summary: This article discusses low-latency edge-cloud collaborative video analytic applications (ECCVApps) and presents ECCVideo, a system that supports the unified management of servers at both the edge and cloud. It provides the architecture and services necessary for the development and deployment of large-scale ECCVApps. A real-time object detection application is deployed to validate the proposed system.
IEEE INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Chao Qiu, Zheyuan Chen, Xiaoxu Ren, Ziming Dai, Cheng Zhang, Xiaofei Wang
Summary: With the advancements of 6G technology, there is growing interest in 6G immersive services, which utilize wearable devices to provide high-quality virtual experiences for users. The active involvement of service users and providers has led to the rapid proliferation of wearable devices. Emerging technologies like cloud computing and edge computing have further facilitated the development of the 6G immersive service market. However, the widespread use of wearable devices poses challenges in resource provisioning and meeting diverse requirements. To address these challenges, an AI-driven approach called Almers-6G is proposed, focusing on large and small regions for resource allocation and matching using immersive learning and blockchain-based mechanisms.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Fahao Chen, Peng Li, Deze Zeng, Song Guo
Summary: Short video apps like TikTok have gained popularity by providing users with fresh and short video contents that match their preferences. However, the growth of these apps poses technical challenges on the existing infrastructure. This article proposes an edge-assisted short video sharing framework that caches popular videos on edge servers for fast access through high-speed network connections.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Chemistry, Multidisciplinary
Safae Bourhnane, Mohamed Riduan Abid, Khalid Zine-dine, Najib Elkamoun, Driss Benhaddou
Summary: The increasing power demand and consumption have led to challenges for traditional grid systems, driving the development of smart grids. Smart grids monitor and control energy production and consumption, integrate renewable energy sources, and provide better solutions. By implementing an edge platform based on single-board computers, efficiency and cost effectiveness can be improved, making it a strong support for edge computing.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Xingyan Chen, Changqiao Xu, Mu Wang, Zhonghui Wu, Lujie Zhong, Luigi Alfredo Grieco
Summary: The popularity of crowdsourced livecast services is growing rapidly, attracting millions of users worldwide. To provide smooth playback experiences and control transcoded streams, providers must optimize resource allocation and utilize Cloud, Edge, and Crowd technologies. A novel stochastic approach is proposed, along with theoretical results on queue length, optimality, and convergence, showing lower system costs and higher QoE performance compared to existing solutions.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
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)
Article
Computer Science, Information Systems
Hui Sun, Qiyuan Li, Kewei Sha, Ying Yu
Summary: Cloud computing and edge computing models are widely used in emerging applications, but existing edge computing-based models have issues in user control, region of interest transmission, and adapting to network conditions. In order to address these challenges, we propose the ElasticEdge framework and validate its superiority over RTFace in terms of data transmission and adaptability to different network conditions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Dayoung Lee, Younghyun Kim, Minseok Song
Summary: Live-streaming video requires CPU-intensive transcoding to ensure a good quality of experience (QoE). Our algorithm allocates transcoding tasks to edge-servers in a multiple-access edge-computing (MEC) architecture, considering server capacity, wireless network coverage, cost budget, and QoE. By prioritizing the tasks contributing the most cost-effective popularity-weighted video quality (PWQ), our scheme achieves higher PWQ than alternative schemes under the same cost budget, improving it by an average of 25.3%.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Engineering, Industrial
Moritz von Stietencron, Karl Hribernik, Katerina Lepenioti, Alexandros Bousdekis, Marco Lewandowski, Dimitris Apostolou, Gregoris Mentzas
Summary: Logistics 4.0 focuses on sustainable customer satisfaction and cost optimization using emerging technologies like IoT and streaming analytics. This paper introduces a software framework for streaming analytics in an edge-cloud environment to advance Logistics 4.0, with a specific application and evaluation in the aerospace industry.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Information Systems
Milos Simic, Ivan Prokic, Jovana Dedeic, Goran Sladic, Branko Milosavljevic
Summary: Edge computing brings cloud services closer to data sources, reducing network latency and linking clouds and users for interconnected applications. However, challenges such as remote configuration, limited node capacity, lack of geo-organization, and separation of concerns still exist. The paper proposes dynamic organization of edge nodes into micro data-centers to expand capacity and reliability, with the goal of offering edge computing as a service.
Article
Computer Science, Interdisciplinary Applications
Afzal Badshah, Celestine Iwendi, Ateeqa Jalal, Syed Shabih Ul Hasan, Ghawar Said, Shahab S. Band, Arthur Chang
Summary: The widespread use of smart devices has led to an increase in social media engagement and workload, placing a heavy burden on mainstream networks and social media cloud servers. To address this challenge, this paper introduces the concept of Regional Computing (RC) for Social Media Platforms (SMP), which involves processing and storing data at regional computing servers before migrating to cloud servers during off-peak hours. Preliminary results show that RC effectively filters content regionally, reducing the burden on mainstream networks and minimizing delays and costs for instant communication.
COMPUTERS & INDUSTRIAL ENGINEERING
(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
Telecommunications
Zouhir Bellal, Boubakr Nour, Spyridon Mastorakis
Summary: Edge computing has emerged as an effective solution to extend cloud computing and meet the demand for low latency applications. CoxNet is an efficient computation reuse architecture that significantly reduces task execution time. Research results demonstrate that CoxNet effectively reduces the pressure on edge servers from computationally intensive tasks.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
P. C. Senthil Mahesh, K. Muthumanickam
Summary: Fog computing has gained intense interest as it provides real-time cloud services and resolves latency issues in cloud computing. However, the networking infrastructure of fog computing still requires further research, especially in terms of security for remote edge data centers. This paper proposes a lightweight, strong authentication scheme to ensure secure communication between edge data centers.
Article
Computer Science, Hardware & Architecture
Dragi Kimovski, Sasko Ristov, Radu Prodan
Summary: The introduction of electronic personal health records enables nationwide information exchange among different health-care systems, but the current centrally orchestrated EHR systems may have a single point of failure.
Article
Computer Science, Information Systems
Dragi Kimovski, Narges Mehran, Christopher Emanuel Kerth, Radu Prodan
Summary: The extension of Cloud services to the network boundaries in Edge computing presents challenges for IoT applications in a heterogeneous environment. Existing works fail to address the issue of edge devices' mobility and resource constraints, thus a novel mobility-aware multi-objective IoT application placement (mMAPO) method is proposed to optimize completion time, energy consumption, and economic cost. Evaluation shows that mMAPO significantly reduces economic cost and completion time while maintaining stable energy consumption.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Theory & Methods
Zahra Najafabadi Samani, Narges Mehran, Dragi Kimovski, Shajulin Benedict, Nishant Saurabh, Radu Prodan
Summary: This study proposes an incremental multilayer resource-aware partitioning method for minimizing resource wastage and maximizing service placement and deadline satisfaction in a dynamic Fog computing environment with multiple application requests.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Computer Science, Information Systems
Reza Farahani, Mohammad Shojafar, Christian Timmerer, Farzad Tashtarian, Mohammad Ghanbari, Hermann Hellwagner
Summary: This article proposes a collaborative edge-assisted framework called ARARAT for HTTP Adaptive video streaming, utilizing Software-Defined Networking, Network Function Virtualization, and edge computing. By minimizing serving time and network costs, and considering available resources and serving actions, the framework improves users' QoE and network utilization. The proposed ARARAT methods are shown to significantly improve users' QoE, reduce streaming costs, and enhance network utilization compared to state-of-the-art approaches.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Daniele Lorenzi, Farzad Tashtarian, Hadi Amirpour, Christian Timmerer, Hermann Hellwagner
Summary: HTTP Adaptive Streaming (HAS) is the predominant technique for delivering video contents across the Internet. This paper proposes a Mixed-Binary Linear Programming (MBLP) model called MCOM-Live for jointly optimizing streaming costs and visual quality by enabling multi-codec content delivery. Experimental results show that our method can reduce latency by up to 23%, streaming costs by up to 78%, and improve visual quality by up to 0.5 dB in terms of PSNR.
MULTIMEDIA MODELING, MMM 2023, PT II
(2023)
Article
Computer Science, Information Systems
Babak Taraghi, Hermann Hellwagner, Christian Timmerer
Summary: This paper proposes a sophisticated cloud-based and open-source testbed for evaluating low-latency live streaming sessions and providing high-quality user experience. The testbed supports two major HTTP Adaptive Streaming formats, MPEG-DASH and HLS, and can assess the performance of different network conditions, media players, and bitrate algorithms.
Article
Computer Science, Information Systems
Jesus Aguilar-Armijo, Christian Timmerer, Hermann Hellwagner
Summary: MEC is a new paradigm that brings storage and computing closer to clients, enabling complex network-assisted mechanisms for video streaming to improve clients' QoE. The proposed approach, SPACE, presents various segment prefetching policies based on different approaches and techniques. These policies can adapt to network conditions and service provider needs, and are evaluated using metrics such as QoE characteristics, computing times, prefetching hits, and link bitrate consumption.
Proceedings Paper
Computer Science, Hardware & Architecture
Narges Mehran, Zahra Najafabadi Samani, Dragi Kimovski, Radu Prodan
Summary: The computing continuum that federates Cloud services with emerging Fog and Edge devices is a relevant alternative for data processing workflows. However, challenges in automating data processing across the computing continuum still exist. A proposed scheduling algorithm, called C-3-MATCH, improves completion time while considering the preferences of workflow microservices and computing continuum devices.
2022 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2022)
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Dragi Kimovski, Christian Bauer, Narges Mehran, Radu Prodan
Summary: The Computing Continuum, including Cloud, Fog, and Edge systems, provides resource-as-a-service for Internet applications with different requirements. However, automating the resource management of Big Data pipelines across the Computing Continuum presents challenges. Traditional resource management strategies are not suitable for dynamic data processing pipelines, resulting in inefficient scheduling and complex deployment. To address this, we propose a scheduling and adaptation approach implemented as a software tool, enabling domain experts to actively participate in Big Data pipeline adaptation.
2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022)
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Nishant Saurabh, Manuel Herold, Hamid Mohammadi Fard, Radu Prodan
Summary: Social media platforms pose trust challenges due to the vast amount of content. This paper proposes a data-driven tool called SMART for trust and reputation management. SMART utilizes expert systems and a rescaled sigmoid model to compute weighted trust ratings and user reputation.
EURO-PAR 2021: PARALLEL PROCESSING WORKSHOPS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Jesus Aguilar-Armijo, Ekrem Cetinkaya, Christian Timmerer, Hermann Hellwagner
Summary: As the video streaming traffic increases, improving content delivery process is crucial. This paper presents ECAS-ML, an Edge Assisted Adaptation Scheme for HTTP Adaptive Streaming using machine learning techniques to analyze radio throughput traces and predict optimal parameters for better performance.
MULTIMEDIA MODELING, MMM 2022, PT II
(2022)
Article
Computer Science, Information Systems
Minh Nguyen, Daniele Lorenzi, Farzad Tashtarian, Hermann Hellwagner, Christian Timmerer
Summary: This paper introduces a heuristic algorithm DoFP+, which leverages the features of the latest HTTP version HTTP/3 to enhance the performance of adaptive bitrate algorithms during video streaming for better Quality of Experience. Experimental results show significant improvements in QoE, reduction in stalls, and saved downloaded data. The source code has been published for reproducibility.
