The explosion of large-scale data has increased the scale and capacity of storage clusters in
data centers, leading to huge power consumption issues. Cloud providers can effectively …

With the mushrooming growth of data volumes, data replica placement plays a key role in
promoting the energy efficiency and Quality-of-Service (QoS) of data-intensive data centers …

In this paper, we present an energy-aware informed prefetching technique called Eco-
Storage that makes use of the application-disclosed access patterns to group the informed …

In this paper, we present a thermal-aware file assignment technique called TIGER for
reducing the cooling cost of storage clusters in data centers. We show that peak inlet …

There is increasing interest in sharing the experience of products and services on the web
platform, and social media has opened a way for product and service providers to …

In this study, we propose an energy-efficient database system called GreenDB running on
clusters. GreenDB applies a workload-skewness strategy by managing hot nodes coupled …

In this paper, we propose a toolkit called EDOM facilitating the evaluation and optimization
of energy-efficient multicore-based database systems. The two core components in EDOM …

Reducing energy consumption has been an important design issue for large-scale
streaming media storage systems. Existing energy conservation techniques are inadequate …

Although various parallel disk systems have been developed to achieve high I/O
performance and energy efficiency, most existing parallel disk systems lack an adaptive way …

This paper describes a framework for collaboration between a user and a multi-agent
system to achieve adjustable autonomy. Adjustable autonomy (AA) is when the levels of …