In the modern era of technology, many software systems are legacy software systems that have become too expensive to replace and too costly to re-engineer. Considering the need of improving the business values of such systems is the need to do so in the simplest, cost-effective, and least risky way available. There are a number of approaches used by software engineers to mitigate legacy systems by inserting new computing techniques. A relatively recent technique in software engineering concentrate on implementing self-managing attributes, like autonomic behavior in such legacy software and systems of applications in order to avoid the need for human monitoring and intervention. In this paper survey of different techniques and frameworks for building autonomous system have been presented. These techniques considerably reduces the cost of maintaining legacy systems.

<span lang="EN-US">The development in the field of cloud webserver management for the execution of the workflow and meeting the quality-of-service (QoS) prerequisites in a distributed cloud environment has been a challenging task. Though, internet of things (IoT) of work presented for the scheduling of the workflow in a heterogeneous cloud environment. Moreover, the rapid development in the field of cloud computing like edge-cloud computing creates new methods to schedule the workflow in a heterogenous cloud environment to process different tasks like IoT, event-driven applications, and different network applications. The current methods used for workflow scheduling have failed to provide better trade-offs to meet reliable performance with minimal delay. In this paper, a novel web server resource management framework is presented namely the reliable and efficient webserver management (REWM) framework for the edge-cloud environment. The experiment is conducted on complex bioinformatic workflows; the result shows the significant reduction of cost and energy by the proposed REWM in comparison with standard webserver management methodology.</span>

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