Adam Gregory

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Although there has been much success in identifying genetic variants associated with common diseases using genome-wide association studies (GWAS), it has been difficult to demonstrate which variants are causal and what role they have in disease. Moreover, the modest contribution that these variants make to disease risk has raised questions regarding their(More)
This paper concerns guarantees on system performance through Service Level Agreement (SLA) compliance and focuses on devising energy aware resource management techniques based on Dynamic Voltage and Frequency Scaling (DVFS) used by resource management middleware in clouds that handle MapReduce jobs. This research formulates the resource management problem(More)
Clouds which continue to garner interest from practitioners in industry and academia require effective energy aware resource managers to leverage processing power of underlying resources while minimizing energy consumption in global data centers. We devise a novel Energy Aware MapReduce Resource Manager for an open system, called EAMR-RM, that can(More)
This paper focuses on devising a configurable resource management technique for use in clouds for processing batches of MapReduce jobs associated with Service Level Agreements (SLAs). The proposed technique permits cloud service providers to make resource management decisions which consider client quality of service requirements, system performance, and(More)
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