Huankai Chen

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Cloud computing is emerging as a new paradigm of large-scale distributed computing. In order to utilize the power of cloud computing completely, we need an efficient task scheduling algorithm. The traditional Min-Min algorithm is a simple, efficient algorithm that produces a better schedule that minimizes the total completion time of tasks than other(More)
In heterogeneous cloud, the provision of quality of service (QoS) guarantees for on-line parallel analysis jobs is much more challenging than off-line ones, mainly due to the many involved parameters, unstable resource performance, various job pattern and dynamic query workload. In this paper we propose an entropy-based scheduling strategy for running the(More)
—Resource allocation optimization is a typical cloud project scheduling problem: a problem that limits a cloud system's ability to execute and deliver a project as originally planned. The entropy, as a measure of the degree of disorder in a system, is an indicator of a system's tendency to progress out of order and into a chaotic condition, and it can thus(More)
The principle of local activity originated from electronic circuits, but can easily translate into other non-electrical homogeneous/heterogeneous media. Cloud resource is an example of a locally-active device, which is the origin of complexity in cloud scheduling system. However, most of the researchers implicitly assume the cloud resource to be locally(More)
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