Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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       Orchestration of hybrid cloud often requires huge power consumption and high-end networking. Use of green energy sources can be kept as an option.

       Security is always a concert. Intrusion detection and encryption techniques should be able to handle advanced threats. The pattern of attacks is changing every day so to cope up with that security measures also need to be updated also. Thus, it a subject of research all the time.

       Use of AI and data analytics can do wonders. Many researches are already going on in this direction but still scopes are there.

       Reliability still is a major issue in hybrid cloud computing, some portion of the network may remain unavailable for some period of time. How failover plans can be made stronger so that it can handle these issues in transparent way is a matter of consideration.

       SLA is a portion where more research should be done. Miscommunication, misinterpretation, and lack of information often cause problem. In multi-cloud system, it is more prominent.

      1.9 Conclusion

      Hybrid cloud offer several benefits but complex large and distributed nature makes it hard to handle. It keeps business sensitive data in private data centers for their protection and use public cloud for additional services. But still, management and monitoring of all in bound data is not always possible. As a result, security issues always happen. IT security is always challenging, and in case of hybrid platform it seems more complicated. Use of AI can do miracles in cloud computing. Adaptation of AI and hybrid cloud is new trend in the industry. So, by taking reasonable thoughts and with judiciously designed automation system in middleware hybrid cloud can offer exciting features in cost-effective way. Leading organizations are moving forward the adaptation of hybrid cloud and AI as it can provide scalable, cost-effective, flexible, user friendly, and secure solution.

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