IEEE Internet Computing
44 papers
Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2P systems...
Social Information Processing in Social News Aggregation
The rise of the social media sites, such as blogs, wikis, Digg and Flickr among others, underscores the transformation of the Web to a participatory medium in which users are collaboratively...
Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain
Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the...
CDStore: Toward Reliable, Secure, and Cost-Efficient Cloud Storage via Convergent Dispersal
We present CDStore, which disperses users' backup data across multiple clouds and provides a unified multi-cloud storage solution with reliability, security, and cost-efficiency guarantees....
Chatbots as conversational healthcare services
Chatbots are emerging as a promising platform for accessing and delivering healthcare services. The evidence is in the growing number of publicly available chatbots aiming at taking an active role...
Cloud, Fog or Edge: Where to Compute?
The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data sources located at the edge of the network. However, the...
Modeling Digital Twin Data and Architecture: A Building Guide with FIWARE as Enabling Technology
The use of Digital Twins in the industry has become a growing trend in recent years, allowing to improve the lifecycle of any process by taking advantage of the relationship between the physical...
Towards Decentralised Cloud Storage with IPFS: Opportunities, Challenges, and Future Directions
The InterPlanetary File System (IPFS) is a novel decentralised storage architecture, which attempts to provide decentralised cloud storage by building on founding principles of P2P networking and...
Developing an Underwater Network of Ocean Observation Systems with Digital Twin Prototypes -- A Field Report from the Baltic Sea
During the research cruise AL547 with RV ALKOR (October 20-31, 2020), a collaborative underwater network of ocean observation systems was deployed in Boknis Eck (SW Baltic Sea, German exclusive...
Knowledge-intensive Language Understanding for Explainable AI
AI systems have seen significant adoption in various domains. At the same time, further adoption in some domains is hindered by inability to fully trust an AI system that it will not harm a human....
Cyberbullying Detection with Fairness Constraints
Cyberbullying is a widespread adverse phenomenon among online social interactions in today's digital society. While numerous computational studies focus on enhancing the cyberbullying detection...
Towards Hate Speech Detection at Large via Deep Generative Modeling
Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence. Hate speech detection requires...
TRIFECTA: Security, Energy-Efficiency, and Communication Capacity Comparison for Wireless IoT Devices
The widespread proliferation of sensor nodes in the era of Internet of Things (IoT) coupled with increasing sensor fidelity and data acquisition modality is expected to generate 3+ Exabytes of...
Stringer: Balancing Latency and Resource Usage in Service Function Chain Provisioning
Network Functions Virtualization, or NFV, enables telecommunications infrastructure providers to replace special-purpose networking equipment with commodity servers running virtualized network...
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning
Humans use causality and hypothetical retrospection in their daily decision-making, planning, and understanding of life events. The human mind, while retrospecting a given situation, think about...
Examining Machine Learning for 5G and Beyond through an Adversarial Lens
Spurred by the recent advances in deep learning to harness rich information hidden in large volumes of data and to tackle problems that are hard to model/solve (e.g., resource allocation...
Fog Computing as Privacy Enabler
Despite broad discussions on privacy challenges arising from fog computing, the authors argue that privacy and security requirements might actually drive the adoption of fog computing. They...
Revisiting the Arguments for Edge Computing Research
This article argues that low latency, high bandwidth, device proliferation, sustainable digital infrastructure, and data privacy and sovereignty continue to motivate the need for edge computing...