3 results about "Cloud workflow" patented technology

This invention discloses a cloud workflow scheduling method with dynamic deadlines and reliability constraints, comprising: Step 1, obtaining the task set, workflow deadlines, and workflow reliability constraints of the workflow; Step 2, calculating the upward sorting value of each task in the task set, arranging the tasks in descending order according to the upward sorting value, and generating an initial task scheduling sequence; Step 3, determining the dynamic deadlines of the tasks to be scheduled based on the initial task scheduling sequence; Step 4, determining the target reliability constraints of the tasks to be scheduled based on the initial task scheduling sequence; Step 5, arranging the virtual machines in descending order to form a candidate queue; traversing the virtual machines and their idle time slots in the candidate queue, and assigning the tasks to be scheduled to the idle time slots; Step 6, determining whether there are any unscheduled tasks. If so, returning to Step 3 and repeating the process; if not, adjusting the task scheduling sequence based on the variable neighborhood descent algorithm and the simulated annealing algorithm to complete the cloud workflow scheduling.

This invention provides a hybrid cloud workflow task scheduling method based on topology analysis and privacy quantification. It calculates task allocation time, data transmission time, backup time, encryption time, and decryption time for a second set of tasks to be allocated to the public cloud, calculates the total cost of each particle, and outputs the optimal scheduling scheme with the goal of minimizing the total cost. The second set of tasks to be allocated to the public cloud includes tasks with encryption level allocation and proactive fault-tolerant backup. Highly sensitive tasks are allocated to the private cloud through privacy cost estimation. Based on breadth-first search to determine node levels and betweenness centrality to identify critical task nodes, proactive backup is implemented to cut off cascading fault propagation links. This invention obtains a globally optimal task scheduling scheme while satisfying privacy and reliability constraints, balancing resource consumption and data security, improving the reliability of task scheduling in a hybrid cloud environment, and reducing overall scheduling costs.

Systems, methods, and devices disclosed herein include an application deployment platform comprising a web client application, a backend control system, and a backend migration system. The web client application provides a graphical user interface (GUI) configured to receive one or more user inputs identifying a target application and a plurality of deployment parameters for the target application. The backend control system is integrated with a cloud workflow management platform API, an issue tracking platform API, a source data analytics and management platform API, and a developer platform API. Also, the backend control system performs one or more verification operations including determining whether the one or more user inputs are associated with an IT personnel or a business unit personnel. Furthermore, the backend migration system is configured to migrate the target application from a developer platform associated with the developer platform API to a destination environment.