The Kim Dynasty and North-East Asian security:breaking the cycle of crises?

Purpose—This article considers North Korea and the notion of crisis, by linking historical development over the Korean peninsula to the conflict resolution literature, and investigates why despite a large number of destabilizing events, a war involving Pyongyang has yet to erupt. Design/methodology—This article uses historical data and a framework developed by Aggarwal et al., in order to highlight patterns of interaction between states such as the United States, North Korea and South Korea, organizations such as the United Nations, as well as processes such as the Six- Party Talks and the Agreed Framework. The article then develops a crisis framework based on conflict resolution and negotiation literature, and applies it to three North Korean administrations. Findings—Findings suggest that an open- ended understanding of time (for all parties involved on the peninsula) leads to an impossibility to reach a threshold where full- scale war would be triggered, thus leaving parties in a stable state of crisis for which escalating moves and de- escalating techniques might become irrelevant. Practical implications—It is hoped that this article will help further endeavors linking conflict resolution theoretical frameworks to the Korean peninsula security situation. In the case of the Korean peninsula, time has been understood as open-ended, leading parties to a lingering state of heightened hostilities that oscillates toward war, but that is controlled enough not to reach it. In-depth analysis of particular security sectors such as nuclear energy, food security, or missile testing would prove particularly useful in understanding the complexity of the Korean peninsula situation to a greater extent. It is hoped that this paper will help further endeavours linking conflict resolution theoretical frameworks to the Korean peninsula security situation. Originality/value—This research suggests that regarding the Korean peninsula, time has been understood as open- ended, leading parties to a lingering state of heightened.

Integration of a graph-based model indexer in commercial modelling tools

Softeam has over 20 years of experience providing UML-based modelling solutions, such as its Modelio modelling tool, and its Constellation enterprise model management and collaboration environment. Due to the increasing number and size of the models used by Softeam’s clients, Softeam joined the MONDO FP7 EU research project, which worked on solutions for these scalability challenges and produced the Hawk model indexer among other results. This paper presents the technical details and several case studies on the integration of Hawk into Softeam’s toolset. The first case study measured the performance of Hawk’s Modelio support using varying amounts of memory for the Neo4j backend. In another case study, Hawk was integrated into Constellation to provide scalable global querying of model repositories. Finally, the combination of Hawk and the Epsilon Generation Language was compared against Modelio for document generation: for the largest model, Hawk was two orders of magnitude faster.

Stress-testing centralised model stores

One of the current challenges in model-driven engineering is enabling effective collaborative modelling. Two common approaches are either storing the models in a central repository, or keeping them under a traditional file-based version control system and build a centralized index for model-wide queries. Either way, special attention must be paid to the nature of these repositories and indexes as networked services: they should remain responsive even with an increasing number of concurrent clients. This paper presents an empirical study on the impact of certain key decisions on the scalability of concurrent model queries, using an Eclipse Connected Data Objects model repository and a Hawk model index. The study evaluates the impact of the network protocol, the API design and the internal caching mechanisms and analyzes the reasons for their varying performance.