Kiranmai Bellam

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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(More)
In the past decades, parallel I/O systems have been used widely to support scientific and commercial applications. New data centers today employ huge quantities of I/O systems, which consume a large amount of energy. Most large-scale I/O systems have an array of hard disks working in parallel to meet performance requirements. Traditional energy conservation(More)
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(More)
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(More)
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(More)
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 real-time systems. Next, we proposed a novel reliability-driven scheduling algorithm(More)
High performance Grid platforms and parallel computing technologies are experiencing their golden age because of the convergence of four critical momentums: high performance microprocessors , high-speed networks, free middleware tools, and highly increased needs of computing capability. We are witnessing the rapid development of computational Grid(More)
Cluster storage systems have emerged as high-performance and cost-effective storage infrastructures for large-scale data-intensive applications. Although a large number of cluster storage systems have been implemented, the existing cluster storage systems lack a means to optimize quality of security in dynamically changing environments. We solve this(More)