Efficiency of QoS Aware Bag of Tasks Job Scheduling in IaaS Cloud

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Added on 2024/07/24

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This report investigates the efficiency of Quality of Service (QoS) aware bag of tasks job scheduling within an Infrastructure as a Service (IaaS) cloud computing environment. It focuses on automatic scheduling techniques to improve QoS, manage energy usage effectively, and optimize resource utilization. The research addresses questions related to the benefits of QoS aware IaaS infrastructure, current technology levels, efficient cloud infrastructure development methods, and solutions for overcoming related issues. Key research articles are reviewed, covering topics such as cost and deadline-constrained provisioning, energy-efficient scheduling, limitations of traditional server-centric clouds, hybrid genetic algorithms for dynamic economic dispatch, and algorithms for scheduling dependent tasks in the cloud. A timeline of research tasks is provided, outlining activities from data collection and literature review to proposal preparation and methodology description. The report concludes with a list of references used to support the analysis and findings. Desklib offers more solved assignments and study resources for students.

Efficiency of QoS Aware bag
of tasks job scheduling In a
IaaS (Infrastructure as a
service) cloud computing
STUDENT NAME:
STUDENT ID:

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Iaas (Infrastructure as a Service)
Infrastructure as a Service is a type of cloud computing which,
• Provides virtualised computing services such as servers, storage,
and networking hardware.
• Organisations achieve desired level of automation.
• Service can be accessed through the internet

Aims of the research
Aim of the research:
• Using back of tasks job scheduling in the IaaS
set-up.
• Automatic scheduling for improving QoS
(Quality of Service).
• Providing services by effectively managing
energy usage.
• Effective utilisation of available resources

Research Question
• What are the benefits of using the latest QoS aware IaaS infrastructure to
the firms?
• What is the Current level of technology being used for availing cloud-
based facilities?
• What are the different methods and models that can be used for
developing an efficient cloud-based infrastructure?
• What are the solutions that are proposed for overcoming various issues
related to QoS aware IaaS infrastructure?

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Key Research Articles
First research article – “Algorithms for cost-and deadline-
constrained provisioning for scientific workflow ensembles in
IaaS clouds”
• Cloud computing is discussed.
• Importance of IaaS and automatic scheduling of tasks.
• Techniques that are currently used for scheduling the tasks .
• Major issues faced while scheduling the tasks are analysed.
• This journal enables to understand the importance of IaaS and
techniques for scheduling activities.

Key Research Articles
Second research article – “Energy-efficient scheduling of urgent
bag-of-tasks applications in clouds through DVFS”.
• The limitations of the existing techniques are discussed.
• Techniques for resolving the limitations are explained by
designing suitable models.
• Importance of minimising the energy usage is discussed.
• The CPU-intensive Bag of Tasks (BoT) apppications technique
is explained
• This journal enables to understand the importance of scheduling
the tasks automatically.

Key Research Articles
Third research article – “Overcoming Major Limitations of
Traditional Server-Centric Clouds by Operating Massively
Distributed IaaS Facilities”.
• Importance of cloud computing.
• Different models of using IaaS has been discussed.
• Limitations of using IaaS-based applications are
discussed.
• Solutions are provided for overcoming the limitations.
• This journal helps to understand the various limitations of
IaaS

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Key Research Articles
Fourth research article – “A hybrid
genetic algorithm and bacterial foraging
approach for dynamic economic
dispatch problem”.
• Importance of using cloud-based
platforms is discussed.
• Different evaluation techniques used
for checking the effectiveness of cloud-
based platforms are explained.
• Validation of the evaluation
techniques.
• Solutions are provided for overcoming
the limitations.
• This journal helps to understand
different evaluation techniques.

Key Research Articles
Fifth research article – “Algorithm for
Scheduling of Dependent Task in
Cloud”.
• Importance of bag of tasks has been
discussed.
• Different task scheduling techniques
are discussed.
• Aneka algorithm has been proposed
for overcoming various issues.
• Benefits of the proposed algorithm
has been evaluated.
• This journal helps to understand the
different techniques of scheduling the
tasks.

Timeline of research
Task Mode Task Name Duration Start Finish Predecessors
Auto
Scheduled
Thesis Part 1: Qos Aware bag of tasks job
scheduling In a IaaS (Infrastructure as a
service ) cloud computing
48 days Mon 02-07-18 Wed 05-09-18
Auto
Scheduled Oral Presentation 7 days Mon 02-07-18 Tue 10-07-18
Auto
Scheduled Collect Data 2 days Mon 02-07-18 Tue 03-07-18
Auto
Scheduled Preparing presentation 5 days Wed 04-07-18 Tue 10-07-18 2
Auto
Scheduled
Review the articles based on wearable
technology 26 days Wed 11-07-18 Wed 15-08-18 1
Auto
Scheduled Find research paper related to the topic 1 day Wed 11-07-18 Wed 11-07-18
Auto
Scheduled Review Articles 2 days Thu 12-07-18 Fri 13-07-18 5
Auto
Scheduled Prepare Proposal 5 days Mon 16-07-18 Fri 20-07-18 6
Auto
Scheduled Thesis Description 1 day Mon 23-07-18 Mon 23-07-18 7

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Continued..
Task Mode Task Name Duration Start Finish Predecessors
Auto
Scheduled Methodology description 2 days Tue 24-07-18 Wed 25-07-18 8
Auto
Scheduled
Preparing timeline for project
completion 3 days Thu 26-07-18 Mon 30-07-18 9
Auto
Scheduled Consulting supervisor 4 days Tue 31-07-18 Fri 03-08-18 10
Auto
Scheduled Finalising proposal 5 days Mon 06-08-18 Fri 10-08-18 11
Auto
Scheduled
Reviewing more research
article 3 days Mon 13-08-18 Wed 15-08-18 12
Auto
Scheduled Selecting the best technology 15 days Thu 16-08-18 Wed 05-09-18 4
Auto
Scheduled
Comparing different
approaches from the literature
review
3 days Thu 16-08-18 Mon 20-08-18
Auto
Scheduled Finding the best approach 2 days Tue 21-08-18 Wed 22-08-18 15

References
 Calheiros, R. N., & Buyya, R. (2014, December). Energy-efficient scheduling of
urgent bag-of-tasks applications in clouds through DVFS. In Cloud Computing
Technology and Science (CloudCom), 2014 IEEE 6th International Conference
on (pp. 342-349). IEEE.
 Elattar, E. E. (2015). A hybrid genetic algorithm and bacterial foraging
approach for dynamic economic dispatch problem. International Journal of
Electrical Power & Energy Systems, 69, 18-26.
 Lebre, A., Pastor, J., & Discovery Consortium. (2015). The DISCOVERY
Initiative-Overcoming Major Limitations of Traditional Server-Centric Clouds by
Operating Massively Distributed IaaS Facilities (Doctoral dissertation, Inria).
 Malawski, M., Juve, G., Deelman, E., & Nabrzyski, J. (2015). Algorithms for
cost-and deadline-constrained provisioning for scientific workflow ensembles in
IaaS clouds. Future Generation Computer Systems, 48, 1-18.
 Vijetha, M., & Sanil, M. G. R. (2017). Algorithm for Scheduling of Dependent
Task in Cloud. International Research Journal of Engineering and Technology
(IRJET), Vol. 4, Issue 11,