Orchestrator conversation : distributed management of cloud applications

Managing cloud applications is complex, and the current state of the art is not addressing this issue. The ever-growing software ecosystem continues to increase the knowledge required to manage cloud applications at a time when there is already an IT skills shortage. Solving this issue requires capturing IT operation knowledge in software so that this knowledge can be reused by system administrators who do not have it. The presented research tackles this issue by introducing a new and fundamentally different way to approach cloud application management: a hierarchical collection of independent software agents, collectively managing the cloud application. Each agent encapsulates knowledge of how to manage specific parts of the cloud application, is driven by sending and receiving cloud models, and collaborates with other agents by communicating using conversations. The entirety of communication and collaboration in this collection is called the orchestrator conversation. A thorough evaluation shows the orchestrator conversation makes it possible to encapsulate IT operations knowledge that current solutions cannot, reduces the complexity of managing a cloud application, and happens inherently concurrent. The evaluation also shows that the conversation figures out how to deploy a single big data cluster in less than 100 milliseconds, which scales linearly to less than 10 seconds for 100 clusters, resulting in a minimal overhead compared with the deployment time of at least 20 minutes with the state of the art

The Impact of Cooperation on Business Innovation in Developing Countries: Evidence from Chile Latin America

There is abundant empirical evidence supporting the relationship between cooperation and innovative entrepreneurial activity, but the conversation continues to be limited to the context of developing countries. This study contributes to the academic debate on this topic with an empirical evaluation of the effect of cooperation networks on innovation, using Chile in Latin America as a case study. Furthermore, while previous studies mainly refer to technological innovations in a particular industrial sector, in this paper we will build an innovation measurement system that incorporates both technological and non-technological activities among diverse industrial sectors. Upon applying cross-sectional data from a national survey on innovation in a developing firm from two different years to a zero-inflated negative binomial regression, we found that a business that reports on cooperation conducts more innovative activities per year compared to one that does not. The type of agent that a business cooperates with is also relevant in this context; other businesses, clients, and consultants showed stronger and more stable results than other types of agents. This evidence is relevant as it presents new information about the importance of the type of agent that a business cooperates with in the context of developing countries