Job Scheduling in Cloud Using Seagull Optimization Algorithm

2021 ◽  
pp. 27-40
Author(s):  
Meenakshi Garg ◽  
Gaurav Dhiman
Keyword(s):  
Cloud Computing ◽  
Optimization Algorithm ◽  
Job Scheduling ◽  
Scheduling Algorithms ◽  
It Services ◽  
On Demand ◽  
Resource Dynamics ◽  
Np Complete ◽  
Application Requirements ◽  
The Web

In recent years, cloud computing technology has gained a great deal of interest from both academia and industry. Cloud computing's success benefited from its ability to offer global IT services such as core infrastructure, platforms, and applications to cloud customers around the web. It also promises on-demand offerings and new ways of pricing packages. However, cloud job scheduling is still NP-complete and has become more difficult due to certain factors such as resource dynamics and on-demand customer application requirements. To fill this void, this chapter presents the seagull optimization algorithm (SOA) for scheduling work in the cloud world. The efficiency of the SOA approach is compared to that of state-of-the-art job scheduling algorithms by having them all implemented in the CloudSim toolkit.

scholarly journals Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Ibrahim Attiya ◽  
Mohamed Abd Elaziz ◽  
Shengwu Xiong
Keyword(s):  
Cloud Computing ◽  
Simulated Annealing ◽  
Large Scale ◽  
Simulated Annealing Algorithm ◽  
Job Scheduling ◽  
Search Algorithm ◽  
Scheduling Algorithms ◽  
Scheduling Problems ◽  
It Services ◽  
On Demand

In recent years, cloud computing technology has attracted extensive attention from both academia and industry. The popularity of cloud computing was originated from its ability to deliver global IT services such as core infrastructure, platforms, and applications to cloud customers over the web. Furthermore, it promises on-demand services with new forms of the pricing package. However, cloud job scheduling is still NP-complete and became more complicated due to some factors such as resource dynamicity and on-demand consumer application requirements. To fill this gap, this paper presents a modified Harris hawks optimization (HHO) algorithm based on the simulated annealing (SA) for scheduling jobs in the cloud environment. In the proposed HHOSA approach, SA is employed as a local search algorithm to improve the rate of convergence and quality of solution generated by the standard HHO algorithm. The performance of the HHOSA method is compared with that of state-of-the-art job scheduling algorithms, by having them all implemented on the CloudSim toolkit. Both standard and synthetic workloads are employed to analyze the performance of the proposed HHOSA algorithm. The obtained results demonstrate that HHOSA can achieve significant reductions in makespan of the job scheduling problem as compared to the standard HHO and other existing scheduling algorithms. Moreover, it converges faster when the search space becomes larger which makes it appropriate for large-scale scheduling problems.

Efficient on Demand Dynamic Availability-Distribution-Span Scheduling and Load Balancing Scheme for Cloud Computing

2016 ◽  
Vol 13 (10) ◽  
pp. 7655-7660 ◽  
Author(s):  
V Jeyakrishnan ◽  
P Sengottuvelan
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
Scheduling Algorithms ◽  
Time Factor ◽  
Cloud Environment ◽  
On Demand ◽  
Availability Factor ◽  
Scheduling Method

The problem of load balancing in cloud environment has been approached by different scheduling algorithms. Still the performance of cloud environment has not been met to the point and to overcome these issues, we propose a naval ADS (Availability-Distribution-Span) Scheduling method to perform load balancing as well as scheduling the resources of cloud environment. The method performs scheduling and load balancing in on demand nature and takes dynamic actions to fulfill the request of users. At the time of request, the method identifies set of resources required by the process and computes Availability Factor, Distributional Factor and Span Time factor for each of the resource available. Based on all these factors computed, the method schedules the requests to be processed in least span time. The proposed method produces efficient result on scheduling as well as load balancing to improve the performance of resource utilization in the cloud environment.

scholarly journals A hybrid approach for scheduling applications in cloud computing environment

2020 ◽  
Vol 10 (2) ◽  
pp. 1387
Author(s):  
Ahmed Subhi Abdalkafor ◽  
Khattab M. Ali Alheeti
Keyword(s):  
Cloud Computing ◽  
Job Scheduling ◽  
Positive Impact ◽  
Scheduling Algorithm ◽  
Hybrid Approach ◽  
Scheduling Algorithms ◽  
Vital Role ◽  
Experimental Result ◽  
Computing Performance ◽  
Cloud Applications

Cloud computing plays an important role in our daily life. It has direct and positive impact on share and update data, knowledge, storage and scientific resources between various regions. Cloud computing performance heavily based on job scheduling algorithms that are utilized for queue waiting in modern scientific applications. The researchers are considered cloud computing a popular platform for new enforcements. These scheduling algorithms help in design efficient queue lists in cloud as well as they play vital role in reducing waiting for processing time in cloud computing. A novel job scheduling is proposed in this paper to enhance performance of cloud computing and reduce delay time in queue waiting for jobs. The proposed algorithm tries to avoid some significant challenges that throttle from developing applications of cloud computing. However, a smart scheduling technique is proposed in our paper to improve performance processing in cloud applications. Our experimental result of the proposed job scheduling algorithm shows that the proposed schemes possess outstanding enhancing rates with a reduction in waiting time for jobs in queue list.

scholarly journals REVIEW OF TASK SCHEDULING METHODS FOR REAL TIME TASKS IN CLOUD ENVIRONMENT

2020 ◽  
Vol 5 (1) ◽  
pp. 85-89
Author(s):  
Dinkan Patel ◽  
Anjuman Ranavadiya
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Task Scheduling ◽  
Virtual Machines ◽  
Dynamic Scheduling ◽  
Scheduling Algorithms ◽  
Minimum Time ◽  
Cloud Environment ◽  
Static Scheduling ◽  
On Demand

Cloud Computing is a type of Internet model that enables convenient, on-demand resources that can be used rapidly and with minimum effort. Cloud Computing can be IaaS, PaaS or SaaS. Scheduling of these tasks is important so that resources can be utilized efficiently with minimum time which in turn gives better performance. Real time tasks require dynamic scheduling as tasks cannot be known in advance as in static scheduling approach. There are different task scheduling algorithms that can be utilized to increase the performance in real time and performing these on virtual machines can prove to be useful. Here a review of various task scheduling algorithms is done which can be used to perform the task and allocate resources so that performance can be increased.

Enterprise Cloud Adoption

2016 ◽  
pp. 1283-1315
Author(s):  
Omondi John Opala ◽  
Shawon S. M. Rahman ◽  
Abdulhameed A. Alelaiwi
Keyword(s):  
Cloud Computing ◽  
Cost Effectiveness ◽  
Linear Regression Analysis ◽  
It Services ◽  
On Demand ◽  
Computing Services ◽  
Outsourced Data ◽  
Cloud Computing Services ◽  
It Compliance ◽  
Perception Of Security

Cloud computing is synonymous with outsourced data center management and agile solution architecture that improves the scalability for delivery of services for enterprises. It has the capability to revolutionize how data is delivered from commodity to Information Technology as a service. At its core, Cloud computing is a new approach to distributed computing and shared pooling of IT infrastructure linked together to offer centralized IT services on demand. Companies that provide Cloud computing services manage multiple virtualized computation systems that allow for dynamic on-demand provisioning of IT delivery as services. This chapter presents a study of the factors that influence the adoption of Cloud computing in enterprises based on managements' perception of security, cost-effectiveness, and IT compliance. The results of a linear regression analysis testing are presented, which indicate that managers' perceptions of cost-effectiveness and IT compliance are more significantly correlated to the enterprise adoption of Cloud computing than security.

Cloud Integration for Effective Delivery of IT Services

2016 ◽  
pp. 733-744
Author(s):  
Roma Puri
Keyword(s):  
Cloud Computing ◽  
Enterprise Resource Planning ◽  
Relationship Management ◽  
Resource Planning ◽  
Customer Relationship ◽  
Internet Technology ◽  
It Services ◽  
Data Framework ◽  
Effective Delivery ◽  
The Web

Cloud computing is a state-of-the-art Internet technology being recently adapted by enterprises. The cloud computing models are implemented by business to improve existing practices. With improvement in the standards of the Web and affordability of mobile devises, the customer has accepted the online way of shopping. Cloud computing has been extensively used to deliver e-commerce, Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP). E-commerce models have undergone considerable changes in order to attract customers online. This chapter showcases the requirement of e-commerce model to integrate cloud computing technology. This chapter puts forward cloud computing applications for E-commerce, CRM and ERP by describing the significant characteristics of the cloud. For enterprises to bring into play cloud based e-commerce, CRM and ERP, certain significant issues need to be handled. These issues are the points of discussion in the chapter. In addition, the chapter introduces big data framework for building efficient e-commerce framework.

Cloud Integration for Effective Delivery of IT Services

2015 ◽  
pp. 78-89
Author(s):  
Roma Puri
Keyword(s):  
Cloud Computing ◽  
Enterprise Resource Planning ◽  
Relationship Management ◽  
Resource Planning ◽  
Customer Relationship ◽  
Internet Technology ◽  
It Services ◽  
Data Framework ◽  
Effective Delivery ◽  
The Web

Cloud computing is a state-of-the-art Internet technology being recently adapted by enterprises. The cloud computing models are implemented by business to improve existing practices. With improvement in the standards of the Web and affordability of mobile devises, the customer has accepted the online way of shopping. Cloud computing has been extensively used to deliver e-commerce, Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP). E-commerce models have undergone considerable changes in order to attract customers online. This chapter showcases the requirement of e-commerce model to integrate cloud computing technology. This chapter puts forward cloud computing applications for E-commerce, CRM and ERP by describing the significant characteristics of the cloud. For enterprises to bring into play cloud based e-commerce, CRM and ERP, certain significant issues need to be handled. These issues are the points of discussion in the chapter. In addition, the chapter introduces big data framework for building efficient e-commerce framework.

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