IRJET-A Talk on Cloud Capacity Management
Content
International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
www.irjet.net
A Talk on Cloud Capacity Management
Mr. Narahari Narasimhaiah1,Dr. R. Praveen Sam2.
1Research
scholar, Bharathiar University, Tamilnadu, India.
Dept. of CSE. Andhra Pradesh, India.
------------------------------------------------------------------------------------------------------------------------------------------------In IT service, continuity management, security management,
ABSTRACT- Optimized resource utilization and cost
2Professor,
savings are benefits of the cloud computing, which coincide
with
the
objectives
and
goals
of
capacity
management[1].Following article briefly describes how
various cloud stakeholders perceive capacity[2] and what
constitutes the capacity management process to generate
infrastructure economies and optimizations. Cloud capacity
management explains how the capacity management can be
applied to cloud computing.
Key Words: Optimized,Computing, Capacityetc…
1.CAPACITY MANAGEMENT
In a timely manner, all areas of IT, always matches to the
current and future agreed upon needs of the business .The
goals of the capacity management process is to ensure that cost
justifiable IT capacity[2]. As of ITILv3, capacity management is
one of the service design processes[4], which is the phase of
the IT service lifecycle that converts service strategy into
implementable IT services.
capacity management, andservice availability management are
the service design phase[3] principles. Ensuring optimum[5]
resource utilization, performance, and cost effectiveness,
capacity management plays a vital role in any cloud-based
service.
To maintain optimum and cost effective resource capacity is
the main purpose of capacity management.
These resources may be facilities[3], hardware, software, or
human resources. For budget and planning activities, new IT
services provides timely resources and help in resource
forecasts[2] ensures the capacity management.
IT service management process areas include demand
management, financial management and service portfolio
management[6] to ensure that service performance is
maintained to avoid running out of resources .
The capacity management process has three interrelated views
for a service management,
Business capacity management
Service capacity management
Component capacity management
2. CAPACITY MANAGEMENT IN CLOUD COMPUTING
Asthe complex infrastructure isheterogeneous[3] and the
associated toolsets are complex and expensive to implement
capacity management,ensuring the highest levels of service
performance[2] and continuity and managing their data center
capacity, service providers have a plan in a cloud environment.
To determine the capacity requirements[7], inputs are taken
from tools that monitor resource performance, service level
management.The cloud introduces aspects of shared
infrastructure[1] and multi tenancy which are rented or leased
and changes the way of capacity management is done. To use
the pay as you go model and the elasticity model offered in the
cloud,redefined process interfaces will be required for
enterprises to effectively manage the capacity of the cloud.
2.1 The Capacity-Utilization Curve
Fig -1 :Layers of Capacity management
© 2015, IRJET.NET- All Rights Reserved
The graphic in Figure 2illustrates capacity versus utilization
Page 1620
International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
www.irjet.net
Fig -2:Reference Model for Private Cloud
Chart - 1:Capacity versus utilization
This curve shows the core themes around actual service
consumption versus cloud services. Cloud economies can be
affected[8] by both over and under provisioning of cloud
resources which is important to understand.Once the hardware
is bought and paid for in a falling demand scenario there will be
excess capacity which will go waste in an enterprise.Taking a
risk of scenarios of falling demand, the organizations[1]
making upfront decision on buying hardware. Getting obsolete
or business demand falling is taken by the cloud provider for
risk of technology in the cloud model. The organization is
making upfront payments for hardware and thus cost of capital
needs to be factored for the life of the hardware for a financial
management.
3. CONVENTIONAL VS. CLOUD VIEW OF CAPACITY
MANAGEMENT
Figure 3showing, depicts the high level private cloud
architecture/model which is built upon virtualization,
hardware infrastructure, and automation/orchestration
layers[9].Private Cloud is the cloud deployment models
amongst Large enterprises[3] and SMBs. The basis of
application readiness and budget in hand to move applications
onto the cloud, typically cloud service providers to these
enterprises undertake building their private cloud on. Cloud
enablement[2] includes configuring the hardware
infrastructure, and building and orchestration/ automation
layer and implementing virtualization technology[1].
© 2015, IRJET.NET- All Rights Reserved
Capacity management in a cloud environmentmust be able to
address the following issues:
Capacity leading[2] to over-provisioning and issues
like VM sprawl.
Harder to forecast capacity demand.
Due to multi-tenant hosting in a resource-sharing
environment, it hasinefficient and complex
chargeback[10] mechanisms.
Manual allocation inefficiencies is prone to errorsare
cause of the failure of dynamic infrastructure.
4. CONCLUSION
All resources must be shared in a virtualized environment,
which presents some unique and new challenges tothe data
center
when
determining
actual
resource
requirements.Ensuring that virtualizedbusiness-critical and
every virtual server[1] application has the resources, when it
requires them presents a complex resourceallocation
challenge.To achieve acceptable service levels and consistent,
at a known and controlled cost[11], define a capacity
managementstrategy that includes:
In yourvirtualized environment, it can define the
processes, workflows, approvals, and schedules
associated with the workloads.
In your environment, to manage the performance[2]
and capacity of the resources it can identify and
collect the metrics critical.
Establishing baselines and measuring current
performance.
To establish current and future
resourcerequirements, it can collecting and using
workload forecasts from consumers.
Page 1621
International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
www.irjet.net
REFERENCES:
[1]. Cloud Capacity Management, Apress - Navin Sabharwal and
Prashant Wali.
[2]. Capacity Management Analytics on System Z - Rajkumar
Munsamy.
[3]. Hyperformix - Capacity Management Solution Brief.
[4]. Capacity Management Guidelines
Infrastructure Platforms - White Paper.
For
VBLOCK
[5]. Capacity Management on the Journey to Cloud - CA - Paul
Peterson.
[6]. CapacityControl: Why Capacity Management Needs to
Evolve - CIRBA.
[7] Cloud Capacity Management - Cloud Computing.
[8]. Capacity Management Ensures Success for Enterprise cloud
consumers - Team Quest - by Ron Potter.
[8]. Cloud Computing Architecture and Strategy.
[9]. Implementing Cloud Storage Metrics to Improve IT
Efficiency and Capacity Management - Intel White Paper.
[10]. Effective Capacity Management with Modeling and
Simulation assisted Performance Testing - Perspective Infosys.
[11]. Virtualization and Cloud Management Using Capacity
Planning - Clabby Analytics.
BIOGRAPHIES
NARAHARINARASIMHAIAH has 17 years of
experience in IT industry. At Cognizant
Technology Solutions, he is a Principal ArchitectTechnology with BFS TAO (Technology and
Architecture Office). He holds a MBA, MS in Computer Science
degree and MSc in Psychology. Currently pursuing PhD in
Cloud Computing.
Development (iOS, Android), Responsive Web/Single Page
applications, Solutions Architecture, Service Oriented
Architecture,
Portfolio
Assessments,
Technology
Rationalization / Consolidation exercises.
Highly astute, goal-oriented and result oriented professional
offering a track record as a Technology Partner for a major
financial organization. Proven success and experience in
managing diverse large teams globally spanning multiple
vendors with an on-site and offshore mix. Professional
experience in startup as founder/co-founder and CEO
organizations. Advising committee member/director in various
Non-IT organization(s).
RACHAPUDI PRAVEEN SAM was born in
Kurnool City in 1975. He received the B.Tech
degree in Computer Science and Engineering
with First Class in 1999 from Sri Krishna
Devaraya University, Ananthapur, A.P., India; M.Tech degree
Computer Science and Engineering with First Class in 2001
from Madras University, Chennai, T.N., India and was awarded
Ph.D. degree in Computer Science and Engineering in 2010
from JNTU University, Ananthapur, A.P., India. His Ph.D.
specialization is mobile and Ad Hoc Networks(MANETS). His
expertise in Computer Networks and Network Security.
He is having 13 years of teaching experience, presently he is
working as a professor of Computer Science and Engineering
department for G.Pulla Reddy Engineering College
(Autonomous), Kurnool City, India. He has a total of 25
publications out of which 13 papers in International and
National Journals and 12 papers in National and International
Conferences. He is a member of various professional bodies like
ISTE, IE, CSI, IAENG, CSTA, and IACSIT.
He received Minor Research Project titled "Developing Disaster
Management Applications using Mobile Ad Hoc Network
Tested" sanctioned by UGC for a period of 2 years in March
2014.
He is a TOGAF 8, PMI, Sun Certified Java Enterprise Architect,
SCJP, MCP.NET, Six Sigma AND Certified ScrumMaster as well.
He has experience/knowledge/awareness in Micro Services,
Big Data Analytics, Cloud Computing, Mobile Payments, Mobile
© 2015, IRJET.NET- All Rights Reserved
Page 1622
e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
www.irjet.net
A Talk on Cloud Capacity Management
Mr. Narahari Narasimhaiah1,Dr. R. Praveen Sam2.
1Research
scholar, Bharathiar University, Tamilnadu, India.
Dept. of CSE. Andhra Pradesh, India.
------------------------------------------------------------------------------------------------------------------------------------------------In IT service, continuity management, security management,
ABSTRACT- Optimized resource utilization and cost
2Professor,
savings are benefits of the cloud computing, which coincide
with
the
objectives
and
goals
of
capacity
management[1].Following article briefly describes how
various cloud stakeholders perceive capacity[2] and what
constitutes the capacity management process to generate
infrastructure economies and optimizations. Cloud capacity
management explains how the capacity management can be
applied to cloud computing.
Key Words: Optimized,Computing, Capacityetc…
1.CAPACITY MANAGEMENT
In a timely manner, all areas of IT, always matches to the
current and future agreed upon needs of the business .The
goals of the capacity management process is to ensure that cost
justifiable IT capacity[2]. As of ITILv3, capacity management is
one of the service design processes[4], which is the phase of
the IT service lifecycle that converts service strategy into
implementable IT services.
capacity management, andservice availability management are
the service design phase[3] principles. Ensuring optimum[5]
resource utilization, performance, and cost effectiveness,
capacity management plays a vital role in any cloud-based
service.
To maintain optimum and cost effective resource capacity is
the main purpose of capacity management.
These resources may be facilities[3], hardware, software, or
human resources. For budget and planning activities, new IT
services provides timely resources and help in resource
forecasts[2] ensures the capacity management.
IT service management process areas include demand
management, financial management and service portfolio
management[6] to ensure that service performance is
maintained to avoid running out of resources .
The capacity management process has three interrelated views
for a service management,
Business capacity management
Service capacity management
Component capacity management
2. CAPACITY MANAGEMENT IN CLOUD COMPUTING
Asthe complex infrastructure isheterogeneous[3] and the
associated toolsets are complex and expensive to implement
capacity management,ensuring the highest levels of service
performance[2] and continuity and managing their data center
capacity, service providers have a plan in a cloud environment.
To determine the capacity requirements[7], inputs are taken
from tools that monitor resource performance, service level
management.The cloud introduces aspects of shared
infrastructure[1] and multi tenancy which are rented or leased
and changes the way of capacity management is done. To use
the pay as you go model and the elasticity model offered in the
cloud,redefined process interfaces will be required for
enterprises to effectively manage the capacity of the cloud.
2.1 The Capacity-Utilization Curve
Fig -1 :Layers of Capacity management
© 2015, IRJET.NET- All Rights Reserved
The graphic in Figure 2illustrates capacity versus utilization
Page 1620
International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
www.irjet.net
Fig -2:Reference Model for Private Cloud
Chart - 1:Capacity versus utilization
This curve shows the core themes around actual service
consumption versus cloud services. Cloud economies can be
affected[8] by both over and under provisioning of cloud
resources which is important to understand.Once the hardware
is bought and paid for in a falling demand scenario there will be
excess capacity which will go waste in an enterprise.Taking a
risk of scenarios of falling demand, the organizations[1]
making upfront decision on buying hardware. Getting obsolete
or business demand falling is taken by the cloud provider for
risk of technology in the cloud model. The organization is
making upfront payments for hardware and thus cost of capital
needs to be factored for the life of the hardware for a financial
management.
3. CONVENTIONAL VS. CLOUD VIEW OF CAPACITY
MANAGEMENT
Figure 3showing, depicts the high level private cloud
architecture/model which is built upon virtualization,
hardware infrastructure, and automation/orchestration
layers[9].Private Cloud is the cloud deployment models
amongst Large enterprises[3] and SMBs. The basis of
application readiness and budget in hand to move applications
onto the cloud, typically cloud service providers to these
enterprises undertake building their private cloud on. Cloud
enablement[2] includes configuring the hardware
infrastructure, and building and orchestration/ automation
layer and implementing virtualization technology[1].
© 2015, IRJET.NET- All Rights Reserved
Capacity management in a cloud environmentmust be able to
address the following issues:
Capacity leading[2] to over-provisioning and issues
like VM sprawl.
Harder to forecast capacity demand.
Due to multi-tenant hosting in a resource-sharing
environment, it hasinefficient and complex
chargeback[10] mechanisms.
Manual allocation inefficiencies is prone to errorsare
cause of the failure of dynamic infrastructure.
4. CONCLUSION
All resources must be shared in a virtualized environment,
which presents some unique and new challenges tothe data
center
when
determining
actual
resource
requirements.Ensuring that virtualizedbusiness-critical and
every virtual server[1] application has the resources, when it
requires them presents a complex resourceallocation
challenge.To achieve acceptable service levels and consistent,
at a known and controlled cost[11], define a capacity
managementstrategy that includes:
In yourvirtualized environment, it can define the
processes, workflows, approvals, and schedules
associated with the workloads.
In your environment, to manage the performance[2]
and capacity of the resources it can identify and
collect the metrics critical.
Establishing baselines and measuring current
performance.
To establish current and future
resourcerequirements, it can collecting and using
workload forecasts from consumers.
Page 1621
International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
www.irjet.net
REFERENCES:
[1]. Cloud Capacity Management, Apress - Navin Sabharwal and
Prashant Wali.
[2]. Capacity Management Analytics on System Z - Rajkumar
Munsamy.
[3]. Hyperformix - Capacity Management Solution Brief.
[4]. Capacity Management Guidelines
Infrastructure Platforms - White Paper.
For
VBLOCK
[5]. Capacity Management on the Journey to Cloud - CA - Paul
Peterson.
[6]. CapacityControl: Why Capacity Management Needs to
Evolve - CIRBA.
[7] Cloud Capacity Management - Cloud Computing.
[8]. Capacity Management Ensures Success for Enterprise cloud
consumers - Team Quest - by Ron Potter.
[8]. Cloud Computing Architecture and Strategy.
[9]. Implementing Cloud Storage Metrics to Improve IT
Efficiency and Capacity Management - Intel White Paper.
[10]. Effective Capacity Management with Modeling and
Simulation assisted Performance Testing - Perspective Infosys.
[11]. Virtualization and Cloud Management Using Capacity
Planning - Clabby Analytics.
BIOGRAPHIES
NARAHARINARASIMHAIAH has 17 years of
experience in IT industry. At Cognizant
Technology Solutions, he is a Principal ArchitectTechnology with BFS TAO (Technology and
Architecture Office). He holds a MBA, MS in Computer Science
degree and MSc in Psychology. Currently pursuing PhD in
Cloud Computing.
Development (iOS, Android), Responsive Web/Single Page
applications, Solutions Architecture, Service Oriented
Architecture,
Portfolio
Assessments,
Technology
Rationalization / Consolidation exercises.
Highly astute, goal-oriented and result oriented professional
offering a track record as a Technology Partner for a major
financial organization. Proven success and experience in
managing diverse large teams globally spanning multiple
vendors with an on-site and offshore mix. Professional
experience in startup as founder/co-founder and CEO
organizations. Advising committee member/director in various
Non-IT organization(s).
RACHAPUDI PRAVEEN SAM was born in
Kurnool City in 1975. He received the B.Tech
degree in Computer Science and Engineering
with First Class in 1999 from Sri Krishna
Devaraya University, Ananthapur, A.P., India; M.Tech degree
Computer Science and Engineering with First Class in 2001
from Madras University, Chennai, T.N., India and was awarded
Ph.D. degree in Computer Science and Engineering in 2010
from JNTU University, Ananthapur, A.P., India. His Ph.D.
specialization is mobile and Ad Hoc Networks(MANETS). His
expertise in Computer Networks and Network Security.
He is having 13 years of teaching experience, presently he is
working as a professor of Computer Science and Engineering
department for G.Pulla Reddy Engineering College
(Autonomous), Kurnool City, India. He has a total of 25
publications out of which 13 papers in International and
National Journals and 12 papers in National and International
Conferences. He is a member of various professional bodies like
ISTE, IE, CSI, IAENG, CSTA, and IACSIT.
He received Minor Research Project titled "Developing Disaster
Management Applications using Mobile Ad Hoc Network
Tested" sanctioned by UGC for a period of 2 years in March
2014.
He is a TOGAF 8, PMI, Sun Certified Java Enterprise Architect,
SCJP, MCP.NET, Six Sigma AND Certified ScrumMaster as well.
He has experience/knowledge/awareness in Micro Services,
Big Data Analytics, Cloud Computing, Mobile Payments, Mobile
© 2015, IRJET.NET- All Rights Reserved
Page 1622
