Resource scheduling in cloud is a challenging job and the scheduling of appropriate
resources to cloud workloads depends on the QoS requirements of cloud applications. In …

To maximize task scheduling performance and minimize nonreasonable task allocation in
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …

With the development of content-based image retrieval technology, the retrieval efficiency of
image retrieval technology is getting higher and higher. For different data images, image …

Cloud computing promises great efficiencies by multiplexing resources among disparate
customers. For example, Amazon's Elastic Compute Cloud (EC2), Microsoft Azure, Google's …

Recent research works showed that deep neural networks are vulnerable to adversarial
examples, which are usually maliciously created by carefully adding deliberate and …

The application of smart autonomous multi-robot systems has received increasing attention
and dramatically developed, and this situation greatly promotes the development of the …

Compared with traditional ineffective methods, such as acquiring more spectrum and
deploying more base stations, edge caching is a highly promising solution for increased …

In heterogeneous distributed computing systems like cloud computing, the problem of
mapping tasks to resources is a major issue which can have much impact on system …

one of the most important emerging technologies in the recent years, blockchain has been
well developed and widely used in many domains, including financial business systems …

Many researchers focus on the local feature-based description of the dynamic texture,
because of its stability and low dimensionality. Among the existing dynamic texture …