Creating Intelligent Computational Edge through Semantic Mediation

This research proposes semantic mediation based on reasoning and the first order logic for mediating the best possible configuration of Computational Edge, relevant for software applications which may benefit for running computations with proximity to their data sources. The mediation considers the context in which these applications exist and exploits the semantic of that context for decision making on where computational elements should reside and which data they should use. The application of semantic mediation could address the initiative to accommodate algorithms from predictive and learning technologies, push AI towards computational edges and potentially contribute towards creating a computing continuum

The Impact of Artificial Intelligence on Military Defence and Security

The twenty-first century is now being shaped by a multipolar system characterized by techno-nationalism and a post-Bretton Woods order. In the face of a rapidly evolving digital era, international cooperation will be critical to ensuring peace and security. Information sharing, expert conferences and multilateral dialogue can help the world's nation-states and their militaries develop a better understanding of one another's capabilities and intentions. As a global middle power, Canada could be a major partner in driving this effort. This paper explores the development of military-specific capabilities in the context of artificial intelligence (AI) and machine learning. Building on Canadian defence policy, the paper outlines the military applications of AI and the resources needed to manage next-generation military operations, including multilateral engagement and technology governance

Harnessing single board computers for military data analytics

Executive summary: This chapter covers the use of Single Board Computers (SBCs) to expedite onsite data analytics for a variety of military applications. Onsite data summarization and analytics is increasingly critical for command, control, and intelligence (C2I) operations, as excessive power consumption and communication latency can restrict the efficacy of down-range operations. SBCs offer power-efficient, inexpensive data-processing capabilities while maintaining a small form factor. We discuss the use of SBCs in a variety of domains, including wireless sensor networks, unmanned vehicles, and cluster computing. We conclude with a discussion of existing challenges and opportunities for future use.https://digitalcommons.usmalibrary.org/books/1010/thumbnail.jp

Cloudlet Deployment to Balance Energy Consumption in Wireless Networks: A Survey, Issues and Challenges

Cloud computing and wireless networks, both are two different important components in information technology (IT) world. These both wide network components are unlike from each other and their characteristics are providing huge services. By using these services, users getting several computing services at low cost while providing the security and privacy. According to the one survey till end of the 2016, gross payments from the e-commerce business management was spent $4 billion for maintenance of datacenters. Energy consumption is the key component in the information technology world, because due to the wastage usage of computing hardware components like servers, datacenters and network bandwidth etc., business profits will be go down. So, by integration of these two areas, online business management will get more revenues while providing the QoS. The proposed mechanism, deploying the cloudlets for executing the actions, which are belongs to the wireless networks such as Local Area Network (LAN), Metropolitan Area Network (MAN) and Wide Area Network (WAN) etc. The proposed idea addressed better solution to avoid Service Level Agreement�s (SLA) violations and poor QoS

The Many Faces of Edge Intelligence

Peer reviewe

The Many Faces of Edge Intelligence

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.Peer reviewe