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A Proposal on Novel Cloud Scheduling Using Soft Computing Techniques
Abstract
In recent years, facing information explosion, industry and academia have adopted distributed file system and to address new challenges the big data has brought. Based on these technologies, this research presents an OLAP system for workflow scheduling in cloud environment. The advanced development in virtualization technologies and cloud computing servers the best way for distributing computing resources for existing resource pools based on demand and scientific computing. With the development of information technology, a large volume of data is growing and getting stored electronically in cloud platform [16]. As workload characteristics and requirements evolve, database engines need to efficiently handle both transactional (OLTP) and analytical (OLAP) workloads with strong guarantees for throughput, latency and data freshness. Cloud computing is a new paradigm for distributed computing that delivers infrastructure, platform and software (application) as services and made available as subscription-based services in a pay-as-you-go model to consumers. Cloud computing offers a wide range of computation and resource facilities for execution of workflow applications. Many resources are involved in execution of single workflow.
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