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Deep Reinforcement Learning-Based Scheduling Algorithm for Service Differentiation in Cloud Business Process Management System
Business process management system in cloud is increasingly used in enterprise organizations for its advantages of flexibility, affordability, and...
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Intent-Driven Orchestration: Enforcing Service Level Objectives for Cloud Native Deployments
The introduction of microservices and functions using serverless deployment styles for cloud-native applications will trigger a shift in the...
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Service Lifecycle Management in Complex Product-Service Systems
The paper discusses the need for a standardized process to phase out after-market services within a product-service system (PSS). The authors suggest...
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Praxeological learning approach in the development of pre-service EFL teachers' TPACK and online information-seeking strategies
This study is purposed to implement and test a praxeological learning approach to enhance pre-service EFL teachers’ technological pedagogical content...
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A QoS Based Reliable Routing Mechanism for Service Customization
Due to the rapid development of the Internet technology such as 5G/6G and artificial intelligence, more and more new network applications appear....
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Service Differentiation in FAN
The differentiation of quality of service in FAN Flow-aware networking (FAN) remains a major challenge. This is due to the fact that FAN does not...
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Business process discovery as a service with event log privacy and access control over discovered models
The information systems supporting business processes of organizations generate and collect a large number of records in event logs that are...
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Service Placement and Management
This chapter analyses the specific processes of service placement, admission control and service management in the Ad-hoc Edge infrastructure. It...
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Feature Differentiation and Fusion for Semantic Text Matching
Semantic Text Matching (STM for short) stands for the task of automatically determining the semantic similarity for a pair of texts. It has been...
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TP53 Genetic Testing and Personalized Nutrition Service
TP53 is one of the tumor suppressor genes found to be highly correlated with human tumor development, this gene can sense stress or damage to cells...
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Asynchronous control for 2-D Markov jump cyber-physical systems against aperiodic denial-of-service attacks
This work focuses on the asynchronous controller design for two-dimensional Markov jump cyber-physical systems against denial-of-service attacks....
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Providing quality of service in omni-path networks
New hierarchical crossbar switch architectures, such as Omni-Path (OPA) and Cray X2, have appeared to improve packet latency, reduce overall cost and...
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NDAMM: a numerical differentiation-based artificial macrophage model for anomaly detection
Anomaly detection is a significant issue that has attracted considerable research. The artificial immune system offers strong pattern recognition...
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Detection of non-periodic low-rate denial of service attacks in software defined networks using machine learning
In this paper, we propose a novel approach to detect non-periodic Low-rate Denial of Service attacks in Software Defined Networks using Machine...
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Crossover Service Pattern: Modeling and Computing
A service pattern is the overall description of a service-coordination mechanism, participant interaction pattern, and data/resource/value-allocation...
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Investigation of pre-service teachers’ sensitivity to cyberbullying, perceptions of digital ethics and awareness of digital data security
Today, with digital technologies being in every aspect of our lives, cyberbullying and digital ethics, and digital security violations are emerging...
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Loss-based differentiation strategy for privacy preserving of social robots
The training and application of machine learning models encounter the leakage of a significant amount of information about their training dataset...
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sAuth: a hierarchical implicit authentication mechanism for service robots
With advances in networks, Artificial Intelligence (AI), and the Internet of Things, humanoid robots are rising in many areas, including elderly...
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Optimizing operational parameters through minimization of running costs for shared mobility public transit service: an application of decision tree models
The aim of this study was to use machine learning model for prediction of running costs of public transport buses in Karachi, which is the most...
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Servicestrategien und Service-Angebotsdifferenzierung von ERP-Dienstleistern im deutschsprachigen Raum
This study contributes to the research on external Enterprise Resource Planning (ERP) service providers in the German-speaking countries and...
