Energy Efficient Approach For Cloud To Improve Environmental Effect

Shivangi Srivastava, Parvez Mahmood Khan, Rizwan Beg


Cloud computing—large-scale, shared IT
infrastructure available over the internet—is transforming
the way corporate IT services are delivered and managed.
Cloud computing is a highly scalable and cost-effective
infrastructure. The Cloud data centers are completely
different from ancient hosting facilities. A cloud data center
refers to on-premise hardware that stores data within an
organization's local network. Only a data center can store
servers and other equipment. As such, cloud service providers
use data centers to house cloud services and cloud-based
resources. A cloud data center might comprise of the many
sizable amount of networked computers with their
corresponding storage and networking subsystems, power
distribution and conditioning instrumentation, and cooling
infrastructures. Because of sizable amount of equipments,
data centers will consume large energy consumption and emit
great amount of carbon. The high usage additionally
interprets to terribly high carbon emissions that was
calculable to be regarding 80-116 Metric Megatons annually.
Hence energy efficient aspect is required to minimize the
carbon emissions as well as to reduce a lot of energy
consumption. A key consideration in achieving the reduction
in power consumption of a data center is to calculate the PUE
(Power Usage Effectiveness) of the data center and energy
efficient DBMS is required to solve the above problem. We
have used our framework to reinforce a DBMS approach
using actual energy measurements by which energy savings
are possible where applicable.


Cloud Computing, DBMS, Energy potency, Hash Join, Query Optimizer.

Full Text:



Tim Grance Peter Mell, “The NIST Definition of Cloud Computing,”, National Institute of Standards and Technology, Information Technology Laboratory, 2009

Otto vangeet, “best practices guide for energy-efficient

data centre design” us department of energy, national

renewable energy laboratory, 2011

"Energy Logic: Reducing Data Center Energy

Consumption by Creating Savings that Cascade Across

Systems," The Experts in Business-Critical Continuity,

"Guidelines For Energy-Efficient Datacentres," The

green grid, 2007.

"Report to Congress on Server and Data Centre Energy

Efficiency," U.S. Environmental Protection Agency

ENERGY STAR Program, 2007.

"Wireless Sensors Improve Data Center Energy

Efficiency," Federal Energy Management Program,

Smith, J. and Nair, R, “Virtual Machines: Versatile

Platforms for Systems and Processes”, 2003.

“Cloud computing and Sustainability: The

Environmental Benefits of Moving to the Cloud”,

Accenture Microsoft Report, 2010.

M. Poess and R. O. Nambiar, “Energy Cost, The Key

Challenge of Today’s Data Centers: A Power

Consumption Analysis of TPC-C Results”, In VLDB,

R. Ayoub, K. R. Indukuri, and T. S. Rosing, “Energy

Efficient Proactive Thermal Management in Memory

Subsystem”, In ISLPED, 2010.

H. David, C. Fallin, E. Gorbatov, U. R. Hanebutte, and

O. Mutlu, “Memory Power Management via Dynamic

Voltage/Frequency Scaling”, In ICAC, 2011.

D. Tsirogiannis, S. Harizopoulos, and M. A. Shah,

“Analyzing the energy efficiency of a database server”,

In SIGMOD, 2010.


  • There are currently no refbacks.