Abstract:
In recent years, High performance data centers are one of the challenging research areas in Cloud Computing.
Multi Tenant Data centers are the infra structures that runs in large-scale Internet-based services. Energy consumption
models are pivotal and efficient in designing and optimizing energy-efficient operations to curb excessive energy
consumption in the data centers. Multi-tenant data centers (MTDCs) are the data centers which are popular with different
operational structure. Despite the offered benefits, MTDCs are vulnerable to various cyber attacks. An important cyber
attack is energy theft which can be launched by malicious tenants to reduce cost of the electricity consumption by attacking
their own smart meters or neighboring meters to undercount its energy usage. Billions of money has been lost due to
energy theft in data centers each year. Localization of energy theft detection is an effective way to limit the labor cost in
detecting energy theft in data centers. It can be facilitated through deploying Digital Protective Relays (DPR) in the Power
Distribution Unit of the data center. DPR is a microprocessor based device for fault detection. Along with DPR, an
anamoly identification algorithm has been implemented called as Minimum Covariance Determinant .The smart meters
along with Advance Metering Infrastructure is employed to measure the energy consumption of the tenants in data center,
which is implemented in Smart grid environment. Such that data from both smart meter and Digital Protective Relay is
send to the utility center to determine the Energy Theft in Multi Tenant Data Centers.
