@article{khanna_wireless_2014,
	title = {Wireless {Data} {Center} {Management}: {Sensor} {Network} {Applications} and {Challenges}},
	volume = {15},
	issn = {1527-3342},
	shorttitle = {Wireless {Data} {Center} {Management}},
	doi = {10.1109/MMM.2014.2356151},
	abstract = {The modern data centers (DCs) are essential to fulfilling ever-evolving computational demands around cloud computing, big data, and IT infrastructure. These DCs are facilities (Figure 1) that house computer systems and associated components such as networking and storage systems. To operate a DC, power supplies, network connections, environmental controls (e.g., air conditioning, humidity), and security infrastructure are needed. Technology and business challenges such as virtualization, load consolidation, real-time troubleshooting, and service-level guarantees require a robust and adaptive server management plan for enterprise. The majority of DC issues are related to overutilization of resources, application failures, data security, power usage effectiveness (PUE), and infrastructure costs. This requires proactive solutions that are business intelligent and built over a network of sense points that are guaranteed to deliver reliable trends and measurements in a reliable and timely fashion. Since it is expensive to build new DCs, the best option is to improve usage of an existing facility through lower infrastructure overhead to deliver better resource management. An optimal sensor network would perform real-time sensor-data collection and deliver a) improved server rack utilization, b) improved DC cooling, and c) improved loadbalancing through dynamic capping of thermally constrained systems.},
	number = {7},
	journal = {IEEE Microwave Magazine},
	author = {Khanna, R. and Liu, H. and Rangarajan, T.},
	month = nov,
	year = {2014},
	keywords = {Big Data, DC, Database management, IT infrastructure, PUE, Power supplies, Wireless communication, adaptive server management plan, cloud computing, computer centres, data centers, data security infrastructure, dynamic capping, environmental controls, ever-evolving computational demands, house computer systems, infrastructure costs, load balancing, load consolidation, modern data centers, network connections, networking, optimal sensor network, power usage effectiveness, real-time sensor data collection, real-time troubleshooting, resource allocation, resource management, security of data, sensor network applications, server rack utilization, service level guarantees, storage systems, thermally constrained systems, virtualisation, virtualization, wireless data center management, wireless sensor networks},
	pages = {S45--S60},
}

{"_id":"Cc8FPQKLGRW9Hz3xY","bibbaseid":"khanna-liu-rangarajan-wirelessdatacentermanagementsensornetworkapplicationsandchallenges-2014","author_short":["Khanna, R.","Liu, H.","Rangarajan, T."],"bibdata":{"bibtype":"article","type":"article","title":"Wireless Data Center Management: Sensor Network Applications and Challenges","volume":"15","issn":"1527-3342","shorttitle":"Wireless Data Center Management","doi":"10.1109/MMM.2014.2356151","abstract":"The modern data centers (DCs) are essential to fulfilling ever-evolving computational demands around cloud computing, big data, and IT infrastructure. These DCs are facilities (Figure 1) that house computer systems and associated components such as networking and storage systems. To operate a DC, power supplies, network connections, environmental controls (e.g., air conditioning, humidity), and security infrastructure are needed. Technology and business challenges such as virtualization, load consolidation, real-time troubleshooting, and service-level guarantees require a robust and adaptive server management plan for enterprise. The majority of DC issues are related to overutilization of resources, application failures, data security, power usage effectiveness (PUE), and infrastructure costs. This requires proactive solutions that are business intelligent and built over a network of sense points that are guaranteed to deliver reliable trends and measurements in a reliable and timely fashion. Since it is expensive to build new DCs, the best option is to improve usage of an existing facility through lower infrastructure overhead to deliver better resource management. An optimal sensor network would perform real-time sensor-data collection and deliver a) improved server rack utilization, b) improved DC cooling, and c) improved loadbalancing through dynamic capping of thermally constrained systems.","number":"7","journal":"IEEE Microwave Magazine","author":[{"propositions":[],"lastnames":["Khanna"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["H."],"suffixes":[]},{"propositions":[],"lastnames":["Rangarajan"],"firstnames":["T."],"suffixes":[]}],"month":"November","year":"2014","keywords":"Big Data, DC, Database management, IT infrastructure, PUE, Power supplies, Wireless communication, adaptive server management plan, cloud computing, computer centres, data centers, data security infrastructure, dynamic capping, environmental controls, ever-evolving computational demands, house computer systems, infrastructure costs, load balancing, load consolidation, modern data centers, network connections, networking, optimal sensor network, power usage effectiveness, real-time sensor data collection, real-time troubleshooting, resource allocation, resource management, security of data, sensor network applications, server rack utilization, service level guarantees, storage systems, thermally constrained systems, virtualisation, virtualization, wireless data center management, wireless sensor networks","pages":"S45–S60","bibtex":"@article{khanna_wireless_2014,\n\ttitle = {Wireless {Data} {Center} {Management}: {Sensor} {Network} {Applications} and {Challenges}},\n\tvolume = {15},\n\tissn = {1527-3342},\n\tshorttitle = {Wireless {Data} {Center} {Management}},\n\tdoi = {10.1109/MMM.2014.2356151},\n\tabstract = {The modern data centers (DCs) are essential to fulfilling ever-evolving computational demands around cloud computing, big data, and IT infrastructure. These DCs are facilities (Figure 1) that house computer systems and associated components such as networking and storage systems. To operate a DC, power supplies, network connections, environmental controls (e.g., air conditioning, humidity), and security infrastructure are needed. Technology and business challenges such as virtualization, load consolidation, real-time troubleshooting, and service-level guarantees require a robust and adaptive server management plan for enterprise. The majority of DC issues are related to overutilization of resources, application failures, data security, power usage effectiveness (PUE), and infrastructure costs. This requires proactive solutions that are business intelligent and built over a network of sense points that are guaranteed to deliver reliable trends and measurements in a reliable and timely fashion. Since it is expensive to build new DCs, the best option is to improve usage of an existing facility through lower infrastructure overhead to deliver better resource management. 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