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Auto-scaling is essential for real-time resource adjustment in cloud services. Traditional reactive methods often delay in reacting to sudden workload spikes, causing performance degradation. Recent proactive methods alleviate this but still face ...

Resource fragmentation is inevitable due to the unknown and fluctuating sequence of requests to create or delete virtual machines (VMs) in cloud platforms. VM consolidations can be effective in addressing resource fragmentation issues to ensure better ...

In communication-intensive applications that run on hosts with high-speed network hardware, a common challenge arises from the significant burden placed on the native socket system within the OS. Researchers have devoted considerable effort to optimizing ...

The growing demand for memory systems with larger capacities and faster data transfer speeds has driven progress in the widespread adoption of multi-socket machines and memory expansion through Compute eXpress Link (CXL). However, processes running on ...

Energy consumption in cloud data centers has become an increasingly important contributor to greenhouse gas emissions and operation costs. To reduce energy-related costs and improve environmental sustainability, most modern data centers consolidate ...

To reduce the increasing cost of building and operating cloud data centers, cloud providers are seeking various mechanisms to achieve higher resource effectiveness. For example, cloud operators are leveraging dynamic resource management techniques to ...

With the explosive growth of multimedia data, Enterprise Multimedia Security (EMS) is a serious matter to maintain enterprise information security. As the rise of social media applications triggers higher bandwidth demand and shorter end-to-end ...

• Currently, only single profile (e.g., traffic or power) is measured for apps behavior analysis.

Timely and accurate service recommendations can help users improve their quality of life and efficiency of work. The accuracy of service recommendations often depends on effective user behavior analysis. Technically, user behaviors ...

In this paper, a multi-user concurrent beam training scheme, named AnalogMUSIC, is designed for mmWave systems with a single radio frequency (RF) chain. In AnalogMUSIC, a one-RF chain based multiple signal classification (MUSIC) algorithm is developed for ...

• A heuristic line piloting method to enhance taxi services is presented.
• A ...

While privacy preservation is important, there are occasions when an individual’s privacy should not be preserved (e.g., those involved in the case of a terrorist attack). Existing works do not generally make such a distinction. We ...

Edge computing has emerged as a promising infrastructure for providing elastic resources in the proximity of mobile users. Owing to resource limitations in mobile devices, offloading several computational tasks from mobile devices to ...