The command and control system operates in a harsh and dynamic environment with limited resources and have a very high risk of failure or malfunction. In the case of military information systems, including the command and control system, the efficiency and effectiveness of system resource management are very important and required. Therefore, the application of a QoS-like approach is necessary to improve the operational effectiveness of all command and control system resources. However, supporting QoS at the entire command and control system level incurs additional costs and burdens for implementation and operation. This paper describes the necessity and possibility of collaboration with QoS and IAM (identity and access management) among the collaboration between core functions within the command and control system. This paper proposes an extended QoS approach to improve the operational effectiveness of the entire command and control system resources. As a result of this research, expanded concepts, structures, standards, and methods of collaboration between QoS and IAM are developed and presented, and their feasibility is demonstrated through prototype development and experiments.

A framework-level IdAM integration approach requires a stable network infrastructure. Information framework’s operation may be significantly restricted when the network is disconnected from the remote IdAM service. Moreover, military networks, especially tactical networks, are volatile, and network disconnection is also high. In this paper, we proposed an Edge-Sovereign Identity (ESI) that expanded the concept of SSI for use in the military field, designed the structure and function of the proposed concept, and demonstrated its usefulness and validity through examples and prototypes.

Summary To address the challenging needs of high‐performance big data processing, parallel‐distributed frameworks such as Hadoop are being utilized extensively. However, in heterogeneous environments, the performance of Hadoop clusters is below par. This is primarily because the blocks of the clusters are allocated equally to all nodes without regard to differences in the capability of individual nodes. This results in reduced data locality. Thus, a new data‐placement scheme that enhances data locality is required for Hadoop in heterogeneous environments. This article proposes a new data placement scheme that preserves the same degree of data locality in heterogeneous environments as that of the standard Hadoop, with only a small amount of replicated data. In the proposed scheme, only those blocks with the highest probability of being accessed remotely are selected and replicated. The results of experiments conducted indicate that the proposed scheme incurs only a 20% disk space overhead and has virtually the same data locality ratio as the standard Hadoop, which has a replication factor of three and 200% disk space overhead.

Summary In a cloud‐scale publish/subscribe messaging system, it is difficult to partition subscription data among several servers. Without a sophisticated scheme and a system architecture, the messaging system would either waste resources or fail to deliver messages on time. In this study, we propose DRDA, a dynamic replication degree adjustment technology, for efficient message delivery. The technology calculates and maintains the number of subscription replications at a reasonable level by monitoring the statuses of servers, based on the number of subscription replications and the frequency of event dissemination. To verify the effectiveness of our proposed scheme and system architecture, we build a prototype of a content‐based publish/subscribe system that dynamically adjusts the number of replications among brokers. Furthermore, we compare the load balance, resource overhead, and performance of a publish/subscribe system with DRDA with a publish/subscribe system without DRDA. The experimental results show that DRDA outperforms other approaches under various parameter configurations. We have added the prototype code to a GitHub repository to make it publicly available.