Description

Cloud computing has the potential to dramatically change the landscape of the current IT industry Cloud computing is a model for enabling ubiquitous network access to a shared pool of configurable computing resources. To improve the performance of cloud computing, it is important to not only measure the profit when completing a job in time, but also account for the penalty when a job is aborted or discarded. Note that, before a task is aborted or discarded, it consumes system sources including network bandwidth, storage space, and processing power, and thus can directly or indirectly affect the system performance. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers. It relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. But scheduling a real time task is a main role for a cloud provider. In this project, the system introduces a novel agent-based scheduling mechanism to maintain its quality of service and enhance the system’s performance. And the system employs a bidirectional announcement-bidding mechanism and the collaborative process consists of three phases.