3,471 research outputs found
Roaming Edge vNFs using Glasgow Network Functions
While the network edge is becoming more important for the provision of customized services in next generation mobile networks, current NFV architectures are unsuitable to meet the increasing future demand. They rely on commodity servers with resource-hungry Virtual Machines that are unable to provide the high network function density and mobility requirements necessary for upcoming wide-area and 5G networks.
In this demo, we showcase Glasgow Network Functions (GNF), a virtualization framework suitable for next generation mobile networks that exploits lightweight network functions (NFs) deployed at the edge and transparently following users' devices as they roam between cells
An Intrinsic Integrity-Driven Rating Model for a Sustainable Reputation System
In the era of digital markets, the challenge for consumers is discerning
quality amidst information asymmetry. While traditional markets use brand
mechanisms to address this issue, transferring such systems to internet-based
P2P markets, where misleading practices like fake ratings are rampant, remains
challenging. Current internet platforms strive to counter this through
verification algorithms, but these efforts find themselves in a continuous
tug-of-war with counterfeit actions.
Exploiting the transparency, immutability, and traceability of blockchain
technology, this paper introduces a robust reputation voting system grounded in
it. Unlike existing blockchain-based reputation systems, our model harnesses an
intrinsically economically incentivized approach to bolster agent integrity. We
optimize this model to mirror real-world user behavior, preserving the
reputation system's foundational sustainability. Through Monte-Carlo
simulations, using both uniform and power-law distributions enabled by an
innovative inverse transform method, we traverse a broad parameter landscape,
replicating real-world complexity. The findings underscore the promise of a
sustainable, transparent, and formidable reputation mechanism. Given its
structure, our framework can potentially function as a universal, sustainable
oracle for offchain-onchain bridging, aiding entities in perpetually
cultivating their reputation. Future integration with technologies like Ring
Signature and Zero Knowledge Proof could amplify the system's privacy facets,
rendering it particularly influential in the ever-evolving digital domain.Comment: 36 pages,13 figure
Business intelligence gap analysis: a user, supplier and academic perspective
Business intelligence (BI) takes many different forms, as indicated by the varying definitions of BI that can be found in industry and academia. These different definitions help us understand of what BI issues are important to the main players in the field of BI; users, suppliers and academics. The goal of this research is to discover gaps and trends from the standpoints of BI users, BI suppliers and academics, and to examine their effects on business and academia. Consultants also play an important role since they can be seen as the link between users and suppliers. Two research methods are combined to accomplish this goal. We examine the BI focus of users and suppliers through a survey, and we gain insight to the BI focus of academics, vendor-neutral consultants (typical representatives like Forrester, Gartner and IDC) and vendor- specific consultants (typical representatives like IBM, Information builders, Microsoft, Oracle and SAP) through their publications. Previous studies indicate that similar article analyses often focus on academic research methods only. That means that the results so far often reveal the academic perspective. Unlike these previous studies, the perspective of this research is not limited to academics. Our results provide insight of the BI trends and BI issue ranking of BI users, suppliers, academics, vendors neutral consultants and vendor specific consultant
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