Hariharasudhan Viswanathan

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Virtualized datacenters and clouds are being increasingly considered for traditional High-Performance Computing (HPC) workloads that have typically targeted Grids and conventional HPC platforms. However, maximizing energy efficiency and utilization of datacenter resources, and minimizing undesired thermal behavior while ensuring application performance and(More)
The scale and complexity of modern datacenters are growing at an alarming rate due to the rising popularity of the cloud computing paradigm as an effective means to cater to the ever increasing demand for computing and storage. The management of modern datacenters is rapidly exceeding human ability, making autonomic approaches essential. In this article,(More)
Adaptive sampling and sleep scheduling can help realize the much needed resource efficiency in densely deployed autonomic sensor-based systems that monitor and reconstruct physical or environmental phenomena. This paper presents a data-centric approach to distributed adaptive sampling aimed at minimizing the communication and processing overhead in(More)
Enabling data- and compute-intensive applications that require real-time in-the-field data collection and processing using mobile platforms is still a significant challenge due to i) the insufficient computing capabilities and unavailability of complete data on individual mobile devices and ii) the prohibitive communication cost and response time involved(More)
Mobile platforms are becoming the predominant medium of access to Internet services due to the tremendous increase in their computation and communication capabilities. However, enabling applications that require real-time in-the-field data collection and processing using mobile platforms is still challenging due to i) the insufficient computing capabilities(More)
—The heterogeneous sensing and computing capabilities of sensor nodes, mobile handhelds, as well as computing and storage servers in remote datacenters can be harnessed to enable innovative mobile applications that rely on real-time in-situ processing of data generated in the field. There is, however, uncertainty associated with the quality and quantity of(More)
Virtualized data centers and clouds are being increasingly considered for traditional High-Performance Computing (HPC) workloads that have typically targeted Grids and conventional HPC platforms. However, maximizing energy efficiency, cost-effectiveness, and utilization of data center resources while ensuring performance and other Quality of Service (QoS)(More)
Clouds provide the abstraction of nearly-unlimited computing resources through the elastic use of federated resource pools (virtualized datacenters). They are being increasingly considered for HPC applications, which have traditionally targeted grids and supercomputing clusters. However, maximizing energy efficiency and utilization of cloud datacenter(More)
The Radio Access Network (RAN) is the most important part of a cellular wireless network. However, current cellular architectures have several disadvantages: they are not compatible with today's users' data-rate requests and do not leverage recent wireless enhancement techniques to achieve those data rates. Cloud Radio Access Network (C-RAN) is a new(More)