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In the last decade, parallel disk systems have increasingly become popular for data-intensive applications running on high-performance computing platforms. Conservation of energy in parallel disk systems has a strong impact on the cost of cooling equipment and backup power-generation. This is because a significant amount of energy is consumed by parallel disks in high-performance computing centers...
As disk drives become increasingly sophisticated and processing power increases, one of the most critical issues of designing modern disk systems is data reliability. Although numerous energy saving techniques are available for disk systems, most of energy conservation techniques are not effective in reliability critical environments due to their limitation of ignoring the reliability issue. A wide...
Large-scale parallel disk systems are frequently used to meet the demands of information systems requiring high storage capacities. A critical problem with these large-scale parallel disk systems is the fact that disks consume a significant amount of energy. To design economically attractive and environmentally friendly parallel disk systems, we developed two energy-aware prefetching strategies for...
Modern real-time wireless networks require high security level to assure confidentiality of information stored in packages delivered through wireless links. However, most existing algorithms for scheduling independent packets in real-time wireless networks ignore various security requirements of the packets. Therefore, in this paper we remedy this problem by proposing a novel dynamic security-aware...
High performance data grids are increasingly becoming popular platforms to support data-intensive applications. Reducing high energy consumption caused by data grids is a challenging issue. Most previous studies in grid computing focused on performance and reliability without taking energy conservation into account. As such, designing energy-efficient data grid systems became highly desirable. In...
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has prevented the further application of large-scale clusters. Designing energy-efficient scheduling algorithms for parallel applications running on clusters, especially on the high performance heterogeneous clusters, is highly desirable...
In the past decade cluster computing platforms have been widely applied to support a variety of scientific and commercial applications, many of which are parallel in nature. However, scheduling parallel applications on large scale clusters is technically challenging due to significant communication latencies and high energy consumption. As such, shortening schedule length and conserving energy consumption...
Real time applications such as military aircraft flight control systems and online banking are critical with respect to security and reliability. In this paper we presented a way to integrate both by considering confidentiality and integrity services for security and nonuniform checkpoint strategy for reliability. The slack exploitation interacts in subtle ways for security in regards to the placement...
In the past five years, mandatory security requirements and fault tolerance have become critical criteria for most real-time systems. Although many conventional fault-tolerant or security approaches were investigated and applied to real-time systems, most existing schemes only addressed either security demands ignoring the fault-tolerant requirements or vice versa. To bridge this technology gap in...
In this paper we comprehensively investigated the issue of reliability-driven real-time scheduling for periodic tasks in heterogeneous systems. First, we built a reliability model in which the concept of reliability cost is introduced in the context of heterogeneous realtime systems. Next, we proposed a novel reliability- driven scheduling algorithm (referred to as Repars) for periodic tasks in heterogeneous...
Existing packets scheduling algorithms designed for energy-efficient wireless networks ignore important features of periodic packets, thereby being inadequate for periodic packets with energy constraints. To remedy this problem, we present in this paper an approach to scheduling periodic packets in wireless networks subject to both timing and energy constraints. We propose a necessary and sufficient...
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