A Context Model for Holistic Monitoring and Management of Complex IT Environments

Mormul, Mathias; Stach, Christoph

doi:10.1109/percomworkshops48775.2020.9156101

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…With so much at risk, the instruction for IT and security teams became increasingly clearer: physicians want systems that are accessible at all times, from any location, with no possibility of downtime, and with no possibility of being subject to cyberattacks. Teams with limited IT and security resources must use their imaginations to rise to the occasion (Cases, n.d.;Maheswari, 2022;Mormul & Stach, 2020).…”

Section: Resultsmentioning

confidence: 99%

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Yeruva

2023

Eduvest

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We see the critical role technology plays in healthcare in the midst of a continuous worldwide health crisis. To combat the epidemic, South Korea, for example, used smart city' technology and government-developed applications that follow individuals in quarantine. A biosensor that can identify the virus in saliva samples has just been created by India's National Institute of Animal Biotechnology, Hyderabad. These developments are made feasible by the usage of certain biosensors that have printed circuit boards with metal core components capable of withstanding large variations in moisture and temperature. A very sophisticated breakthrough, artificial intelligence for IT operations, is altering the healthcare sector in addition to the technology that aid nations in combating the epidemic. This general phrase, also known as AIOps, describes the automated detection and repair of typical IT problems using big data, machine learning, and other AI technologies. AIOps may be used in the healthcare industry to teach computers to analyse CT scan pictures, follow the progression of various illnesses, assess the effectiveness of patient therapy, and much moren.

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Section: Resultsmentioning

confidence: 99%

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Yeruva

2023

Eduvest

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“…Therefore, data analytics plays a pivotal role, and ML can be leveraged as an excellent proactive tool that can assist Mobile Network Operators (MNOs) in improving their productivity. The increasing complexity in handling a huge volume of data from networking systems has led to the definition of platforms known as Artificial Intelligence for IT Operations (AIOps) [106], which cover the operations to perform data collection, storage, and advanced analytics in an IT context [107], [108].…”

Section: Data Analytics and Closed-loop Controlmentioning

confidence: 99%

Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks

Coronado

Behravesh

Subramanya

et al. 2022

IEEE Commun. Surv. Tutorials

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Mobile networks are facing an unprecedented demand for high-speed connectivity originating from novel mobile applications and services and, in general, from the adoption curve of mobile devices. However, coping with the service requirements imposed by current and future applications and services is very difficult since mobile networks are becoming progressively more heterogeneous and more complex. In this context, a promising approach is the adoption of novel network automation solutions and, in particular, of zero-touch management techniques. In this work, we refer to zero-touch management as a fully autonomous network management solution with human oversight. This survey sits at the crossroad between zero-touch management and mobile and wireless network research, effectively bridging a gap in terms of literature review between the two domains. In this paper, we first provide a taxonomy of network management solutions. We then discuss the relevant state-of-the-art on autonomous mobile networks. The concept of zero-touch management and the associated standardization efforts are then introduced. The survey continues with a review of the most important technological enablers for zero-touch management. The network automation solutions from the RAN to the core network, including end-toend aspects such as security, are then surveyed. Finally, we close this article with the current challenges and research directions.

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“…Another horizontal dimension of work focuses on the representation of domain entities & assets relevant to the IoT platform, be they sensors, actuators, users, or others. For example, Mormul and Stach (2020) present a context model for holistic monitoring and management of complex IT environments, to be used in conjunction with the larger IoT platform. On the other hand, Sasidharan and Somov (2014) propose a framework where these assets are modeled as either: real world objects, virtual objects or composite virtual objects.…”

Section: Related Workmentioning

confidence: 99%

Data-sharing markets for integrating IoT data processing functionalities

Kasrin

Benabbas

Elmamooz

et al. 2021

CCF Trans. Pervasive Comp. Interact.

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The recent evolution of the Internet of Things into a cyber-physical reality has spawned various challenges from a data management perspective. In addition, IoT platform designers are faced with another set of questions. How can platforms be extended to smoothly integrate new data management functionalities? Currently, data processing related tasks are typically realized by manually developed code and functions which creates difficulties in maintenance and growth. Hence we need to explore other approaches to integration for IoT platforms. In this paper we cover both these aspects: (1) we explore several emerging data management challenges, and (2) we propose an IoT platform integration model that can combine disparate functionalities under one roof. For the first, we focus on the following challenges: sensor data quality, privacy in data streams, machine learning model management, and resource-aware data management. For the second, we propose an information-integration model for IoT platforms. The model revolves around the concept of a Data-Sharing Market where data management functionalities can share and exchange information about their data with other functionalities. In addition, data-sharing markets themselves can be combined into networks of markets where information flows from one market to another, which creates a web of information exchange about data resources. To motivate this work we present a use-case application in smart cities.

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A Context Model for Holistic Monitoring and Management of Complex IT Environments

Cited by 5 publications

References 6 publications

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks

Data-sharing markets for integrating IoT data processing functionalities

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