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Sensory semantic user interfaces (SenSUI)
Rapid evolution of the World Wide Web with its underlying sources of data, knowledge, services and applications continually attempts to support a variety of users, with different backgrounds, requirements and capabilities. In such an environment, it is highly unlikely that a single user interface will prevail and be able to fulfill the requirements of each user adequately. Adaptive user interfaces are able to adapt information and application functionalities to the user context. In contrast, pervasive computing and sensor networks open new opportunities for context aware platforms, one that is able to improve user interface adaptation reacting to environmental and user sensors. Semantic web technologies and ontologies are able to capture sensor data and provide contextual information about the user, their actions, required applications and environment. This paper investigates the viability of an approach where semantic web technologies are used to maximize the efficacy of interface adaptation through the use of available ontology
Microservice Transition and its Granularity Problem: A Systematic Mapping Study
Microservices have gained wide recognition and acceptance in software
industries as an emerging architectural style for autonomic, scalable, and more
reliable computing. The transition to microservices has been highly motivated
by the need for better alignment of technical design decisions with improving
value potentials of architectures. Despite microservices' popularity, research
still lacks disciplined understanding of transition and consensus on the
principles and activities underlying "micro-ing" architectures. In this paper,
we report on a systematic mapping study that consolidates various views,
approaches and activities that commonly assist in the transition to
microservices. The study aims to provide a better understanding of the
transition; it also contributes a working definition of the transition and
technical activities underlying it. We term the transition and technical
activities leading to microservice architectures as microservitization. We then
shed light on a fundamental problem of microservitization: microservice
granularity and reasoning about its adaptation as first-class entities. This
study reviews state-of-the-art and -practice related to reasoning about
microservice granularity; it reviews modelling approaches, aspects considered,
guidelines and processes used to reason about microservice granularity. This
study identifies opportunities for future research and development related to
reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table
Management and Service-aware Networking Architectures (MANA) for Future Internet Position Paper: System Functions, Capabilities and Requirements
Future Internet (FI) research and development threads have recently been gaining momentum all over the world and as such the international race to create a new generation Internet is in full swing: GENI, Asia Future Internet, Future Internet Forum Korea, European Union Future Internet Assembly (FIA). This is a position paper identifying the research orientation with a time horizon of 10 years, together with the key challenges for the capabilities in the Management and Service-aware Networking Architectures (MANA) part of the Future Internet (FI) allowing for parallel and federated Internet(s)
Building Blocks to Empower Cognitive Internet with Hybrid Edge Cloud
As we transition from the mobile internet to the 'Cognitive Internet,' a
significant shift occurs in how we engage with technology and intelligence. We
contend that the Cognitive Internet goes beyond the Cognitive Internet of
Things (Cognitive IoT), enabling connected objects to independently acquire
knowledge and understanding. Unlike the Mobile Internet and Cognitive IoT, the
Cognitive Internet integrates collaborative intelligence throughout the
network, blending the cognitive IoT realm with system-wide collaboration and
human intelligence. This integrated intelligence facilitates interactions
between devices, services, entities, and individuals across diverse domains
while preserving decision-making autonomy and accommodating various identities.
The paper delves into the foundational elements, distinct characteristics,
benefits, and industrial impact of the 'Cognitive Internet' paradigm. It
highlights the importance of adaptable AI infrastructures and hybrid edge cloud
(HEC) platforms in enabling this shift. This evolution brings forth cognitive
services, a Knowledge as a Service (KaaS) economy, enhanced decision-making
autonomy, sustainable digital progress, advancements in data management,
processing techniques, and a stronger emphasis on privacy. In essence, this
paper serves as a crucial resource for understanding and leveraging the
transformative potential of HEC for Cognitive Internet. Supported by case
studies, forward-looking perspectives, and real-world applications, it provides
comprehensive insights into this emerging paradigm
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