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Information, Volume 15, Issue 8

August 2024 - 87 articles

Cover Story: The paper presents Darly, a QoS-, interference- and heterogeneity-aware Deep Reinforcement Learning-based Scheduler for serverless video analytics deployments on top of distributed Edge nodes. The proposed framework incorporates a DRL agent that exploits performance counters to identify the levels of interference and the degree of heterogeneity in the underlying Edge infrastructure. It combines this information along with user-defined QoS requirements to improve resource allocations by deciding the placement, migration, or horizontal scaling of serverless functions. View this paper
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Articles (87)

  • Review
  • Open Access
35 Citations
20,237 Views
62 Pages

Construction of Knowledge Graphs: Current State and Challenges

  • Marvin Hofer,
  • Daniel Obraczka,
  • Alieh Saeedi,
  • Hanna Köpcke and
  • Erhard Rahm

22 August 2024

With Knowledge Graphs (KGs) at the center of numerous applications such as recommender systems and question-answering, the need for generalized pipelines to construct and continuously update such KGs is increasing. While the individual steps that are...

  • Article
  • Open Access
1 Citations
1,503 Views
25 Pages

Automated Negotiation Agents for Modeling Single-Peaked Bidders: An Experimental Comparison

  • Fatemeh Hassanvand,
  • Faria Nassiri-Mofakham and
  • Katsuhide Fujita

22 August 2024

During automated negotiations, intelligent software agents act based on the preferences of their proprietors, interdicting direct preference exposure. The agent can be armed with a component of an opponent’s modeling features to reduce the unce...

  • Review
  • Open Access
7 Citations
6,397 Views
33 Pages

Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review

  • Meng Wang,
  • Xinyan Guo,
  • Yanling She,
  • Yang Zhou,
  • Maohan Liang and
  • Zhong Shuo Chen

21 August 2024

The maritime industry is integral to global trade and heavily depends on precise forecasting to maintain efficiency, safety, and economic sustainability. Adopting deep learning for predictive analysis has markedly improved operational accuracy, cost...

  • Article
  • Open Access
1 Citations
2,171 Views
16 Pages

Trading Cloud Computing Stocks Using SMA

  • Xianrong Zheng and
  • Lingyu Li

21 August 2024

As cloud computing adoption becomes mainstream, the cloud services market offers vast profits. Moreover, serverless computing, the next stage of cloud computing, comes with huge economic potential. To capitalize on this trend, investors are intereste...

  • Article
  • Open Access
3 Citations
3,163 Views
29 Pages

21 August 2024

Cybercrime is currently rapidly developing, requiring an increased demand for information security knowledge. Attackers are becoming more sophisticated and complex in their assault tactics. Employees are a focal point since humans remain the ‘w...

  • Article
  • Open Access
2 Citations
2,256 Views
26 Pages

21 August 2024

Image captioning aims at generating meaningful verbal descriptions of a digital image. This domain is rapidly growing due to the enormous increase in available computational resources. The most advanced methods are, however, resource-demanding. In ou...

  • Article
  • Open Access
1,236 Views
17 Pages

21 August 2024

With the development of the Internet of Things (IoT), IoT nodes with limited energy and computing capability are no longer able to address increasingly complex computational tasks. To address this issue, an Unmanned Aerial Vehicle (UAV)-assisted Wire...

  • Article
  • Open Access
7 Citations
2,091 Views
15 Pages

21 August 2024

In the early stages of residential project investment, accurately estimating the engineering costs of residential projects is crucial for cost control and management of the project. However, the current cost estimation of residential engineering in C...

  • Perspective
  • Open Access
8 Citations
3,790 Views
12 Pages

Reviewing the Horizon: The Future of Extended Reality and Artificial Intelligence in Neurorehabilitation for Brain Injury Recovery

  • Khalida Akbar,
  • Anna Passaro,
  • Mariacarla Di Gioia,
  • Elvira Martini,
  • Mirella Dragone,
  • Antonio Zullo and
  • Fabrizio Stasolla

21 August 2024

People with disorders of consciousness, either as a consequence of an acquired brain injury or a traumatic brain injury, may pose serious challenges to medical and/or rehabilitative centers with an increased burden on caregivers and families. The obj...

  • Article
  • Open Access
1 Citations
1,831 Views
25 Pages

Bridging Linguistic Gaps: Developing a Greek Text Simplification Dataset

  • Leonidas Agathos,
  • Andreas Avgoustis,
  • Xristiana Kryelesi,
  • Aikaterini Makridou,
  • Ilias Tzanis,
  • Despoina Mouratidis,
  • Katia Lida Kermanidis and
  • Andreas Kanavos

20 August 2024

Text simplification is crucial in bridging the comprehension gap in today’s information-rich environment. Despite advancements in English text simplification, languages with intricate grammatical structures, such as Greek, often remain under-ex...

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Information - ISSN 2078-2489Creative Common CC BY license