In the beginning, IMSs were primarily used to manage and store commercial data in enterprises and public organizations such as government agencies and universities.
IMSs' emphasis and capabilities have shifted as software and hardware technologies have evolved.
Computer and cyber security are two terms that are often used interchangeably.
These systems now offer services that are used not just by businesses or government agencies, but also by individuals wherever and at any time.
IMSs should now evolve to: Gather and handle large volumes of heterogeneous information.
Evaluate and protect the privacy of sensitive pieces of information.
Consider independent administrators distributed across different organizations.
Manage diverse components with different requirements and locations in order to provide these services to this wide range of users.
These facts have added to the complexity of information management procedures, necessitating further study into novel management methods that take into account the prior requirements.
These techniques should be as automated as feasible to enable for dynamic identification of occurrences that need management process reconfiguration.
Furthermore, automation procedures assist to decrease the complexity of managing dispersed heterogeneous components by avoiding delays in management operations caused by human errors or misconfigurations.
What the Future Holds For Context & Location Aware Systems.
The complexity of the information management processes done by IMSs has expanded as technology has progressed.
IMSs now in use handle enormous amounts of heterogeneous data, secure the privacy of sensitive data, enable many administrators to manage resources, and take into account dispersed circumstances.
The bulk of IMSs are now consumed by individuals, businesses, and government agencies at any time and from any location.
As a result of this fact, the location of users has become a highly significant piece of information for providing services near to the users.
With the inclusion of location, the ubiquitous and context-aware paradigms have added additional bits of information about the environment or context in which users are, such as places, activities, identities, time, emotional states, or any other environmental data.
The complexity of prior management procedures has risen as a result of this new heterogeneous information, influencing the birth of new automated management methods.
Controlling the behavior of system resources, as well as managing and securing users' information in IMSs that take into account contextual data, are still unresolved concerns that need to be addressed.
Administrators of IMSs systems should be able to take contextual information into account throughout management operations in order to make judgments about how system resources should behave.
Furthermore, IMS users should determine and manage what information they wish to expose, as well as where, when, and with whom that information will be shared.
In context-aware systems, semantic web approaches provide a potential solution to handle and safeguard contextual and personal information.
This technology enables the formal modeling of data, the exchange of data across independent systems, the definition of privacy regulations to secure data, and the inference of new knowledge based on the data and policies.
In this regard, the state-of-the-art context-aware solutions that allow for the protection of sensitive data as well as the management of system resource behavior have been discussed in this chapter.
Following that, we used semantic web approaches to examine location-based and context-aware systems in charge of transmitting and preserving users' information in intra- and inter-context situations.
Finally, we looked at location-based and context-aware systems for managing network resources securely, taking into account factors like QoS, energy economy, and performance.
When administrators manage system resources, it is necessary to consider the privacy of users' information and circumstances as future work.
Allowing users to specify the level of granularity at which they wish to divulge their position to network administrators while they are operating the network infrastructure while taking into consideration the distance and location of devices is an example of this reality.
In terms of network administration, combining technologies such as SDN and Network Functions Virtualization (NFV) may make it easier to manage network infrastructure and services.
In this way, the Network Slicing approach may integrate the preceding technologies to manage network resources and services based on the needs of contemporary networks.
These slices, as well as their resources, should be handled automatically, taking into account the context.
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