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Power is a primary concern for mobile, cloud, and high-performance computing applications. Approximate computing refers to running applications to obtain results with tolerable errors under resource constraints, and it can be applied to balance energy consumption with service quality. In this paper, we propose a "Good Enough (GE)" scheduling algorithm that uses approximate computing to provide...
An increasing number of internet connected devices access large multimedia files over the Internet. Therefore, the bandwidth demand is exponentially increasing. To satisfy users’ demands, multi-band wireless routers, which simultaneously support several bands, are developed. However, current multiband routers do not attempt to maximize the utilization of frequency bands nor consider the energy consumption...
With the mobile networks migrating towards LTE-Advanced and all-IP networks, people expect to connect to the Internet anytime, anywhere and from any IP-connected device. Moreover, nowadays people tend to spend much of their time consuming multimedia content from various devices with heterogeneous characteristics (e.g., TV screen, laptop, tablet, smartphone, etc.). In order to support uninterrupted,...
High response quality is critical for many best-effort interactive services, and at the same time, reducing energy consumption can directly reduce the operational cost of service providers. In this paper, we study the quality-energy tradeoff for such services by using a composite performance metric that captures their relative importance in practice: Service providers usually grant top priority to...
We address the problem of scheduling precedence-constrained scientific applications on a heterogeneous distributed processor system with the twin objectives of minimizing simultaneously energy consumption and schedule length. Previous research efforts on scheduling have focused on the minimization of a quality of service metric based on the completion time of applications (e.g., the schedule length)...
Distributed cooperative relaying is an attractive method to combat fading in wireless communications because of its performance advantages, simplicity, scalability, and low overhead. In [1], the spectral efficiency of two previously proposed distributed relaying strategies is investigated: Timer-based Best-Select relaying and M-group Dis-STBC All-Select relaying. From the perspective of spectral efficiency,...
For parallel applications running on high-performance clusters, performance is usually satisfied without paying much attention to energy consumption. In this paper, we develop a new scheduling algorithm called Energy efficient Scheduling Algorithm based on DVS and Dynamic threshold (ESADD), which combines dynamic threshold-based task duplication strategy with dynamic voltage scaling (DVS) technique...
In wireless sensor networks (WSNs), data aggregation techniques are used to collect the data sample at sink, generated by sensor nodes. Data aggregation for WSNs must address to the issues of WSNs like limited energy in battery powered sensor, and fast and efficient query response which is essential to network performance and maintenance. In TDMA protocol, during the data aggregation sensors nodes...
Resource-constrained is a critical issue in Wireless Sensor Networks (WSN) applications. Data aggregation (or data fusion) is one of the key techniques to solve the problem. Data aggregation can effectively reduce the data traffic, thereby reduce energy consumption, and extend the network's survival time. The research of data aggregation relates to many aspects of technology, so that the design of...
Many studies have proposed dynamic voltage and frequency scaling (DVFS) techniques for reducing power consumption in embedded systems. Most of these approaches use the rate between the deadline of a task and the worst case execution time (WCET) of the task to modify the operating frequency of the processor. For this kind of method, an analysis of the given application must be conducted to obtain some...
Heterogeneous multi-core processor has been used in embedded systems. A method was employed which allocate tasks to the core according to its features and needs because of structure features of heterogeneous multi-core processor. We should not only consider execution time of tasks but also energy consumption in some embedded systems. But most of scheduling algorithms only take one aspect into account...
Energy saving is of great importance and energy-efficient optimal is considered as a critical element in battery design. In this paper, a novel static voltage scheduling algorithm for battery-aware dynamic voltage scaling (DVS) systems is presented. The proposed algorithm pays fully attention to the relationship of the factors (the increase of the slack time and discharge) related to battery consumption...
The current networks are often designed with redundancy in order to deal with unexpected failures, but this makes a large amount of energy consumption and bandwidth waste. In the real networks, the performance is limited by the link's capacity which gives an upper bound of the traffic amount conveying through the links. In order to explore energy saving methods in the networks, we consider a model...
Currently, more and more vendors such as Amazon, Google, IBM and Microsoft are dedicated to developing their cloud platforms for increasing large-scale data and more complex software systems. The cloud computing technique is rapidly changing the computing environment for various applications. However, a large number of cloud servers consume massive energy and produce huge pollution. The Smart2020...
High performance heterogeneous clusters have been widely used to commercial and scientific areas. However, huge energy consumption has prevented the further application of large-scale heterogeneous clusters. It is highly desirable to design energy-aware scheduling algorithm for parallel applications running on heterogeneous clusters. In this regard, we propose a novel scheduling algorithm called Efficient-Energy...
High performance computing data centers are playing increasingly important roles in our daily life. However, as data centers increase in size and number, the power consumption at the data centers has also increased dramatically. We are facing the challenge of reducing energy consumption, lowering down the peak inlet temperature and at the same time meeting short make span requirements. In this paper,...
It is desirable that energy performance improvement is not realized at the expense of other network performance parameters. This paper investigates the trade off between energy efficiency, spectral efficiency and user QoS performance for a multi-cell multi-user radio access network. Specifically, the energy consumption ratio (ECR) and the spectral efficiency of several common frequency domain packet...
A key problem in the control of packet-switched data networks is to schedule the data so that the queue sizes remain bounded over time. Scheduling algorithms have been developed in a number of different models that ensure network stability as long as no queue is inherently overloaded. However, this literature typically assumes that each server runs at a fixed maximum speed. Although this is optimal...
The acoustic propagation speed under water poses significant challenges to the design of underwater sensor networks and their medium access control protocols. Similar to the air, scheduling transmissions under water have significant impacts on throughput, energy consumption, and reliability. Although the conflict scenarios and required scheduling constraints for deriving a collision-free schedule...
The concept of providing an on-line car pooling service to facilitate matching of drivers and riders has been around for a while. A number of systems or trials have also been built for use in university campuses or on-line communities. These systems however are quite restrictive in terms of the quality of matches and flexibility of pick-up/drop-off places, routes and schedules. Capitalizing on the...
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