Constraint-based QoS-aware Web Service Composition in Cross-organizational Collaboration

To improve the Quality of Service (QoS)-aware Web service compositions considering constraints between cross-organizational business,this paper analyzes the types of constraints,and accordingly proposes a Chaos Genetic Algorithm (CGA). The algorithm creates an initial population of service compositions based on the chaos theory,and then processes individuals which violate constraints in the initial population using repair strategies. Next,a new fitness function is designed to gradually eliminate the infeasible compositions generated in evolution. Finally,the algorithm makes minor chaotic disturbances on the evolved group to accelerate convergence and avoid local optimum. Experimental results demonstrate the effectiveness of the proposed algorithm.

Use of Standard Operating Procedures for Supporting Cross-Organizational Emergency Management:Challenges and Opportunities Identified from a Tabletop Exercise

This study investigated the crucial role of formulating and applying standard operating procedures(SOPs)in the context of emergency planning and response.The effective application of SOPs during operations is essential in order to address challenges that surpass individual organizational capacities.A specific focus on fostering efficient information sharing and executing specified actions maximizes the prospect of success.To explore the collective functionality of SOPs across organizations,we conducted a comprehensive tabletop exercise involving 10 organizations spanning tactical,operational,and strategic levels.Our analysis identified six key challenges,primarily related to the structures for information sharing,communication pathways,and the complex integration and application of common SOPs within these diverse organizational contexts.This research contributes insights into the use of SOPs in large-scale,cross-organizational scenarios.

Autonomous process collaboration framework for C4ISR system interoperation

Interoperability plays an important role in the joint command, control, communication, computer, intelligence, surveillance, reconnaissance(C4 ISR) operations. Coordinating and integrating operational processes to fulfill a common mission are challenged by the ever-changing battlefield and hence requires a cross-organizational process management that produces an autonomous, flexible and adaptable architecture for collaborative process evolution. The traditional business process collaboration pattern is based on the predefined "public-view" perspective and cannot meet the requirement of the joint task operations. This paper proposes a flexible visibility control mechanism and a dynamic collaboration framework for modeling and generating collaborative processes. The mechanism allows collaborators to define a set of visibility rules to generate different views of the private processes for different collaborations, which gives a great flexibility for the collaboration initiator to decide on an appropriate collaboration pattern. The framework supports collaborators to dynamically and recursively add a new process or even a new organization to an existing collaboration. Moreover, a formal representation of the processes and a set of generation algorithms are provided to consolidate the proposed theory.