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May CEDA Currents
Volume PP - IEEE Computer Society

Provides several short items that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Stability of Cloud-based UAV Systems Supporting Big Data Acquisition and Processing
Volume PP - IEEE Computer Society

Unmanned Aerial Vehicle (UAV) technology has been widely applied in both military and civilian applications. Recent researches on UAV systems feature in the dramatic augment of the variety and number of equipped sensors, which results in such an issue that multiple UAVs cannot...

Thermal Modeling and Validation of A Real-World Mobile AP
Volume PP - IEEE Computer Society

As power density of microprocessors increases, on-chip temperature gets higher, resulting in thermal problems. To resolve the thermal problems, an accurate thermal model is necessary to analyze microprocessor temperature from the early-design stage. In this article, we...

Error Concealment for Cloud-based and Scalable Video Coding of HD Videos
Volume PP - IEEE Computer Society

The encoding of HD videos faces two challenges: requirements for a strong processing power and a large storage space. One time-efficient solution addressing these challenges is to use a cloud platform and to use a scalable video coding technique to generate multiple video...

Dynamic Multi-Tenant Coordination for Sustainable Colocation Data Centers
Volume PP - IEEE Computer Society

Colocation data centers are an important type of data centers that have some unique challenges in managing their energy consumption. Tenants in a colocation data center usually manage their servers independently without coordination, leading to inefficiency. To address this issue, we propose a...

Dynamic Resource Provisioning for Energy Efficient Cloud Radio Access Networks
Volume PP - IEEE Computer Society

Energy saving is critical for the cloud radio access networks (C-RANs), which are composed by massive radio access units (RAUs) and energy-intensive computing units (CUs) that host numerous virtual machines (VMs). We attempt to minimize the energy consumption of C-RANs, by leveraging...

Predicted Affinity Based Virtual Machine Placement in Cloud Computing Environments
Volume PP - IEEE Computer Society

In cloud data centers, an appropriate Virtual Machine (VM) placement has become an effective method to improve the resource utilization and reduce the energy consumption. However, most current solutions regard the VM placement as a bin-packing problem and each VM is seen as a...

RIAL: Resource Intensity Aware Load Balancing in Clouds
Volume PP - IEEE Computer Society

To provide robust infrastructure as a service (IaaS), clouds currently perform load balancing by migrating virtual machines (VMs) from heavily loaded physical machines (PMs) to lightly loaded PMs. The unique features of clouds pose formidable challenges to achieving effective and efficient...

How to Extract Image Features based on Co-occurrence Matrix Securely and Efficiently in Cloud Computing
Volume PP - IEEE Computer Society

High-dimensional feature extraction based on co-occurrence matrix improves the detection performance of steganalysis, but it is difficult to be realized for massive image data by an analyzer with limited computational ability. We solve this problem by verifiable outsourcing...

An Ancillary Services Model for Data Centers and Power Systems
Volume PP - IEEE Computer Society

Enormous energy consumption of data centers has a major impact on power systems by significantly increasing the electrical load. Due to the increase in electrical load, power systems are facing demand and supply miss-management problems. Therefore, power systems require efficient...

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