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Resource Scheduling is a centerpiece of data centers. However, most previous works concentrate only on one-dimensional model, which ignoring the fact that multiple resources such as CPU, memory and network bandwidth are consumed simultaneously. As cloud computing allows uncoordinated and heterogeneous users to share a data center, competition for multiple resources has become increasingly severe....
Resource scheduling is crucial to data centers. However, most existing resource scheduling algorithms focus only on one-dimensional resource models, ignoring the fact that multiple resources (e.g. CPU, memory, storage, and network bandwidth) are consumed simultaneously. Competition for multiple resources has become increasingly severe as cloud computing allows uncoordinated and heterogeneous users...
Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In the meantime, robotics applications are joining the trend. More and more robot applications are shifting from manufacture to non-manufacture and service industries. However, for the on-demand...
Cloud computing often uses the multi-tenancy architecture where tenants share system software. To support dynamically increasing demands from multi-tenants, the cloud service providers have to duplicate computing resources to cope with the fluctuation of requests from tenants. This is currently handled by virtualization and duplication at the application level in the existing cloud environment, such...
Cloud computing has received significant attention recently. This paper presents real-time issues related to cloud computing, such as multi-tenancy architecture, scheduling, paralleled computing and proposes a framework for real-time service-oriented cloud computing. Specially, we propose a novel real time architecture which solve the new challenges in Cloud Computing.
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