Autonomous Control for a Reliable Internet of Services by Ivan Ganchev R. D. van der Mei & Hans van den Berg

Author:Ivan Ganchev, R. D. van der Mei & Hans van den Berg
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

7 Conclusions

In this chapter, we presented an analysis of QoS-based elasticity for service chains in distributed edge Cloud environments. Firstly, we introduced the elasticity concept that arises in emerging systems of systems, which are complex, distributed, and based on various virtualization technologies. Then, we focused on IoT and Cloud systems, in whose context we elaborated the need and meaning of elasticity.

A key ingredient of elasticity is the optimization technique aiming to optimize some QoS attributes. Firstly, we identified the key attributes that are frequently optimized with elasticity. Then, we introduced a software engineering viewpoint to model elasticity as one of the system attributes. In that respect, elasticity mechanisms can be implemented in the system design phase to model software systems that exploit at best elasticity during runtime. Furthermore, elasticity involves a runtime choice for the best optimal solution and such a selection has also to be properly designed. Therefore, we reviewed the research works on modeling elasticity in the context of design and runtime choices aiming to provide the best elasticity model and optimal solution.

In distributed environments, elasticity mechanisms may arise not only at different layers of system abstraction, but also within each segment of the distributed system that, as a whole, has to deliver service to the end users. Therefore, key elements for running QoS-aware service compositions are the coordination mechanisms; the latter have to be efficiently implemented in order to deliver high-level user-experience. In this chapter, we also provided a review of several design patterns for decentralized coordination, aiming to realize elasticity in complex systems.

Finally, we discussed the challenges related to designing elasticity mechanisms in geo-distributed environments. Software engineering decisions and coordination mechanisms among segments of distributed systems need further investigation based on empirical evidence from the real technical environments.

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