Article
Computer Science, Information Systems
Luis Leira, Miguel Luis, Susana Sargento
Summary: This research aims to improve content availability and network performance in mobile environments. A context-based cache admission policy is proposed to provide in-network caching and content replication, enhancing the efficiency of information delivery. Results show that using a multi-criteria context-based cache admission policy improves content delivery and network efficiency in mobile environments.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Marica Amadeo, Giuseppe Ruggeri, Claudia Campolo, Antonella Molinaro
Summary: In this study, a novel distributed caching strategy is proposed, where vehicles autonomously decide which content to cache locally to enhance caching diversity and accelerate content retrieval, ultimately achieving better delivery performance in vehicular networks.
Article
Engineering, Civil
Cong Wang, Chen Chen, Qingqi Pei, Ning Lv, Houbing Song
Summary: Vehicular Named Data Networking (VNDN) has gained popularity as a candidate solution to support various applications of vehicular communications. It aims to improve data dissemination efficiency by addressing issues such as IP addressing, unstable connectivity, and diversified service requirements. In-vehicle caching is proposed as an effective edge computing paradigm to alleviate the traffic burden on base stations. However, designing a fair caching strategy remains challenging due to selfish behaviors of individuals.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Chemistry, Analytical
Muhammad Imran, Muhammad Salah Ud Din, Muhammad Atif Ur Rehman, Byung-Seo Kim
Summary: This paper proposes a mechanism for interest aggregation and PIT lifetime management in microservice-centric in-network computation based on Named Data Networking (NDN). By designing microservice-centric interest naming and a dynamic PIT timer mechanism, the challenges in interest aggregation and PIT table management are addressed.
Article
Computer Science, Information Systems
Jakob Pfender, Alvin Valera, Winston K. G. Seah
Summary: This paper argues that traditional metrics are insufficient to describe caching performance in the subdomain of information-centric IoT, and introduces two new metrics to provide deeper insights into the effectiveness of in-network caching strategies, demonstrated through experiments on real hardware.
INTERNET OF THINGS
(2022)
Article
Computer Science, Information Systems
Yahui Meng, Amran Bin Ahmad
Summary: Named Data Networking (NDN) is considered the future of Internet architecture, providing a realistic solution for data delivery in IoT environments. However, the caching module faces challenges of data redundancy and decreased performance. This study proposes an enhanced caching strategy and evaluates its performance compared to other strategies.
Article
Computer Science, Information Systems
Bander Alzahrani, Nikos Fotiou, Aiiad Albeshri, Abdullah Almuhaimeed, Khalid Alsubhi
Summary: ICN is an emerging paradigm that enables secure retrieval of content items independent of their location. This paper proposes a solution that allows third-party storage nodes to verify user authorization for accessing specific content items, leveraging Verifiable Credentials to build trust chains and express user capabilities. The solution enables users to prove authorization using a single message integrated into a content request and eliminates the need for verifying entities to store any secrets. It also supports lightweight delegation.
INTERNATIONAL JOURNAL OF INFORMATION SECURITY
(2023)
Article
Computer Science, Theory & Methods
Amir Reshadinezhad, Mohammad Reza Khayyambashi, Naser Movahedinia
Summary: In this article, a method of intra-network caching based on cooperation of adjacent nodes is proposed, forming a local virtual cluster with distributed cache space. This approach separates content from the original location, reducing retrieval latency and improving user experience. By utilizing new modules called RIT and NCT, the storage threshold of each node is determined and an adaptive approach is used to make storage decisions. Simulation results demonstrate the superior performance of the proposed algorithm compared to existing benchmark strategies.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Review
Telecommunications
Raaid Alubady, Mays Salman, Ahmed S. Mohamed
Summary: Nowadays, Named data networking (NDN) is a critical form of Content-Centric Networking that enables access to internet-based applications based on content name instead of physical host location. The paradigm shift from location-based to content-based has resulted in the need for efficient cache placement and replacement strategies to manage the distribution of data in-network. This paper provides an overview of caching strategies, challenges, and evaluation metrics, aiming to assist researchers in the field of NDN.
TELECOMMUNICATION SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Nazib Abdun Nasir, Seong-Ho Jeong
Summary: With the advancement of the Internet, users can access it anytime, anywhere, leading to a growing amount of content and a focus on storage policies. Implementing a content popularity ranking mechanism and content caching removal scheme can improve network performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Danye Wu, Zhiwei Xu, Bo Chen, Yujun Zhang, Zhu Han
Summary: Edge computing reduces burden on cloud data centers, but online big data may strain network backbones. Information-centric edge networking incorporates in-network caching to address this, yet raises new security issues requiring defenses like efficient access control design specifically tailored for this environment.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
M. Wasim Abbas Ashraf, Chuanhe Huang, Arif Raza, Kashif Sharif, Md Monjurul Karim, Shidong Huang
Summary: This paper presents a novel forwarding and caching solution called VS-ICSDN, which integrates the principles of ICN and SDN to efficiently utilize network resources. The designed clean-slate caching strategy and name-based forwarding method support both on-path and off-path caching on ICN nodes, improving network resource usage through reduced communication overhead and enhanced overall performance.
Article
Computer Science, Information Systems
Sumit Kumar, Rajeev Tiwari, Sergei Kozlov, Joel J. P. C. Rodrigues
Summary: Content-centric networking (CCN) provides an effective content retrieval mechanism by using in-network caching to reduce network delay and bandwidth requirements. The efficiency of content caching decisions is crucial for network performance. A novel content placement scheme was proposed, showing superiority in performance parameters over existing peer schemes.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Walid Walid, Giorgio Armanno, Sandro Di Paola, Massimo Ruo Roch, Guido Masera, Maurizio Martina
Summary: In modern communication, video plays a crucial role and the demand for higher resolution images and videos requires more memory space and efficient data compression techniques. This study focuses on the Wiener filter in the AV1 video coding format, introducing a new hardware architecture and optimization methods to significantly improve processing efficiency.
Review
Computer Science, Hardware & Architecture
Hisham Al-Ward, Chee Keong Tan, Wern Han Lim
Summary: The Information-Centric Internet-of-Things (IC-IoT) connects billions of devices to the Internet, leading to massive data generation, which poses a challenge to the network. Traditional caching solutions are ineffective for IoT-produced content due to its transient nature, prompting research into developing caching solutions for transient IC-IoT data.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Anix Anbiah, Krishna M. Sivalingam
Summary: Network Function Placement (NFP) involves placing virtual network functions (VNFs) on network nodes to process data flows through a chain of service functions. It includes efficiently routing flows, placing VNFs on nodes, and guiding flows through a sequence of VNFs. This paper proposes a distributed online solution using a message-passing protocol for nodes to negotiate VNF placement, aiming to minimize the number of VNF instances.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2021)
Article
Computer Science, Information Systems
Anix Anbiah, Krishna M. Sivalingam
Summary: In this paper, a segment-level recovery framework is proposed for protection of each segment of an end-to-end path, which proves to be more efficient than other existing techniques using segment routing for recovery. Simulation results demonstrate that the proposed scheme offers efficient failure recovery in terms of flow drop rates, ability to recover from multiple failures, and required resources for recovery, resulting in lower flow drop rates and path length increase, leading to robust protection and better resource utilization.
COMPUTER COMMUNICATIONS
(2022)
Article
Telecommunications
Ganesh C. Sankaran, Krishna M. Sivalingam
Summary: This paper studies how high-performance computer servers equipped with FPGAs can perform high-speed routing. It introduces a new routing scheme called NLFS that reduces FPGA resources and packet lookup latency. The proposed scheme has potential applications in reducing switch/router costs, increasing capacity in data center networks, and supporting Network Function Virtualization-based systems.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Sandeep Kiran Pinjala, S. Sree Vivek, Krishna M. Sivalingam
Summary: This article presents an approach for providing privacy-preserving access control in IoT systems. It proposes an anonymous delegated credential-based system architecture to protect the requester's identity, and explores options for implementing the architecture on resource-full and resource-constrained services. A prototype implementation using Linux-based containers is demonstrated, showing the feasibility of the architecture for practical use in large-scale IoT systems.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Ganesh C. C. Sankaran, Krishna M. M. Sivalingam, Harsh Gondaliya
Summary: This article proposes a secure in-network computing system based on a simple reduced instruction set architecture, which can be used for processing artificial intelligence and machine learning models in network devices in an AI-based Industrial Internet of Things system. The architecture exploits the capabilities of upcoming generations of packet processing pipelines in programmable network switches, enabling high-speed data processing. The article also introduces a secure execution model (SEM) to enhance security by restricting memory allocation and modifications to the network switch's persistent state. Real-life use cases are presented to showcase the effectiveness of the proposed instruction set architecture in IoT data processing.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shivani Saxena, Krishna M. Sivalingam
Summary: In 5G-and-beyond networks, the concept of Network Slicing is used to support multiple independent and co-existing logical networks on a physical network infrastructure. The proposed work presents a slice admission system based on Reinforcement Learning (RL) and prediction methods, which predicts the resource demands of Elastic slices and applies an opportunistic overbooking technique to maximize revenue gain and resource utilization.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Rahul Verma, Krishna M. Sivalingam
Summary: This paper focuses on Network Slicing-based 5G Networks, which aim to meet diverse customer demands and optimize resource utilization. By scaling VNF resources and adopting federated learning, the varying slice demands and QoS requirements can be satisfied while preserving data privacy in multi-domain deployments. The performance of the proposed federated system is evaluated and synthetic data is generated using Generative Adversarial Networks (GAN) to improve the forecasting results.
PROCEEDINGS OF THE 2022 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (IEEE CLOUDNET 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Saurav Chakraborty, Krishna M. Sivalingam
Summary: This paper focuses on the virtual network embedding problem in allocating resources for virtual network requests. A Federated Deep Reinforcement Learning approach is used, where infrastructure providers individually train their agents based on DRL. The proposed solution significantly improves the acceptance rate, revenue, and revenue to embedding cost ratio compared to existing algorithms.
PROCEEDINGS OF THE 2022 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (IEEE CLOUDNET 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Shivani Saxena, Krishna M. Sivalingam
Summary: Network Slicing introduces a new business model for Infrastructure Providers by allowing multiple tenants to request services, and utilizing overbooking to maximize revenue gain and resource utilization. The proposed approach significantly outperforms other mechanisms in terms of revenue gain and resource utilization.
PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022
(2022)
Article
Computer Science, Information Systems
Madanagopal Ramachandran, T. Archana, V Deepika, A. Arjun Kumar, Krishna M. Sivalingam
Summary: This paper describes the application of intelligent data analytics using machine learning in the management of 5G networks to achieve autonomous networking capabilities. It presents the design and implementation of CygNet MaSoN, a management system that supports advanced aggregation and analytics combined with machine learning. The system detects anomalous network behavior, degradation in network performance and service quality, and optimizes resources. The main objective is to achieve self-organizing and closed loop automation functionalities. The paper also presents three real-life use cases and the machine learning models and synthetic data generation methods used in the system, as well as the results obtained to demonstrate its effectiveness in 5G network operations.
Proceedings Paper
Computer Science, Hardware & Architecture
Radhakrishna Kamath, Krishna M. Sivalingam
Summary: This paper presents a scheme for classifying flows in data center networks based on the volume and duration of traffic, using ML techniques implemented in programmable data plane switches. The proposed scheme outperforms existing threshold-based schemes in terms of flow classification accuracy and speed.
30TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2021)
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
Babu Narayanan J. Koonampilli, Mythili Vutukuru, Krishna M. Sivalingam, Anusuya Balasubramanian, Raghavan Viswakumar Vinodh, Susheela Seshasayee, Kapil Gokhale, Deepak Vasuki Kashyap, Radhakrishna Rajaram Kamath
Summary: This demonstration will show the operation and main features of the 5G Core software system based on 3GPP Release 16, including UE (de)registration, PDU session establishment and release.
2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS)
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
T. Archana, V Deepika, Arjun A. Kumar, Madanagopal Ramachandran, Krishna M. Sivalingam, Babu Narayanan J. Koonampilli
Summary: Autonomous Networking is expected to be the future mode of network operation, requiring intelligent data analytics and cognitive capabilities. CygNet MaSoN is a management system that integrates multiple 5G network functions, supporting advanced aggregation and analytics features. By continuously collecting critical data and utilizing machine learning, it provides insights into network behavior, service quality estimation, and prediction of future network issues.
2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS)
(2021)
Article
Computer Science, Information Systems
Anix Anbiah, Krishna M. Sivalingam
Summary: Segment routing (SR) is a source routing paradigm that uses segment IDs (SIDs) to forward packets based on a sequence of instructions. By carrying a list of SIDs in packet headers, switches can reduce forwarding table size and avoid per-flow state. The problem of minimizing the forwarding table size given a set of flows and limitations is shown to be NP-complete, with two heuristic solutions presented for solving this issue.
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
Arkadeep Sen, Krishna M. Sivalingam
PROCEEDINGS OF THE 2020 IEEE 45TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2020)
(2020)