Analysis of Task Scheduling Algorithms in Cloud Computing

Abstract

Scheduling the tasks in Cloud Computing increases the efficiency in retrieving data from cloud storage. The retrieval of data from the cloud storage with security is a significant issue. One of the main reasons for building up a system for retrieval is to fine-tune the time for response to a query, upgrade the retrieval and confirm the security in cloud storage. As a researcher, we had taken this work to survey the main ideas about integrity, retrieval and scheduling to identify problems in scheduling with security in cloud computing. Based on the above ideas, the scheduling strategy has had the best advancement and is a cornerstone in cloud computing. One of the efficient methods that were recently following in the cloud to retrieve securely is the Rule and Agent system. The benefit of these ongoing retrieval models is to fine-tune the time for response to a query, upgrade the retrieval and confirm the security in cloud frameworks. In order to give asecure retrieval and effective tool, Rule and Agent systems were overviewed. The effects of the investigation were dissected, based on the presentation of the FFBAT, firefly and BAT calculations by comparing the level in risks and total time for execution.