A Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing

Kaur, Gaganjot; Midha, Sugandhi

doi:10.1109/confluence.2016.7508105

Cited by 11 publications

(8 citation statements)

References 8 publications

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“…Other models or frameworks were proposed by Liu et al [12], Hulkury and Doomun [46], and Guazzone et al [53]. Scheduling algorithms that efficiently increased resource utilization were proposed by Kolodziej et al [21], Wu et al [30], Xu et al [22], Cao et al [27], Kaur and Midha [23], Koutsandria et al [34], Liu and Shu Zhang [24], and Zhang [25].…”

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

“…Efficient resource management involves maximizing the use of available resources. In green cloud computing, this can be achieved with smart task-assignment algorithms [17,18,22,23]. These algorithms decide where tasks should be placed upon their arrival, depending on the availability of VMs.…”

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

“…According to Jing et al [90], cloud infrastructure is the most important component (servers, storage, network equipment, lighting, cooling devices, etc.). For hardware optimization, researchers mostly used dynamic voltage frequency scaling (DVFS) techniques [23,30] and power management (DPM) technologies [17,83]. Software technologies for green cloud computing include design methods to improve program efficiency and to use less storage space, and computing modes such as high-performance computing, and distributed and grid computing [49,64,86].…”

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

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Green Cloud Computing: A Literature Survey

Radu

2017

Symmetry

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Cloud computing is a dynamic field of information and communication technologies (ICTs), introducing new challenges for environmental protection. Cloud computing technologies have a variety of application domains, since they offer scalability, are reliable and trustworthy, and offer high performance at relatively low cost. The cloud computing revolution is redesigning modern networking, and offering promising environmental protection prospects as well as economic and technological advantages. These technologies have the potential to improve energy efficiency and to reduce carbon footprints and (e-)waste. These features can transform cloud computing into green cloud computing. In this survey, we review the main achievements of green cloud computing. First, an overview of cloud computing is given. Then, recent studies and developments are summarized, and environmental issues are specifically addressed. Finally, future research directions and open problems regarding green cloud computing are presented. This survey is intended to serve as up-to-date guidance for research with respect to green cloud computing.

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Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

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Green Cloud Computing: A Literature Survey

Radu

2017

Symmetry

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“…Still, the gaps between traditional cloud computing and mobile cloud computing were shown. One of the preemptive task scheduling being priority scheduling was used in [9] to maximize throughput, where they calculated the energy consumption for scheduling the jobs on computing servers. Considering the requirements and server frequency, one of the available computing servers was allocated following the best fit policy and using DVFS.…”

Section: Related Literaturementioning

confidence: 99%

Load balancing with preemptive and non-preemptive task scheduling in cloud computing

Belgaum

Soomro

Alansari

et al. 2017

2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS)

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In Cloud computing environment the resources are managed dynamically based on the need and demand for resources for a particular task. With a lot of challenges to be addressed our concern is Load balancing where load balancing is done for optimal usage of resources and reduces the cost associated with it as we use pay-as-you-go policy. The task scheduling is done by the cloud service provider using preemption and non-preemption based on the requirements in a virtualized scenario which has been focused here. In this paper, various task scheduling algorithms are studied to present the dynamic allocation of resources under each category and the ways each of this scheduling algorithm adapts to handle the load and have high-performance computing.

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“…In the paper, Kaur and Midha [1] have proposed an energy efficient job scheduling algorithm that focuses on the preemptive part as well as it calculates the energy consumption for scheduling the jobs on the cloud computing servers. The main aim of the author is to minimize the less CO 2 gases and maximize the resources but according to the suitability of servers.…”

Section: A Job Scheduling Algorithm Based On Preemption Prioritymentioning

confidence: 99%

A Review on Energy Efficient Job Scheduling Algorithms in Green Cloud Computing

Mondal

Vijayakumar

2017

Asian J Pharm Clin Res

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Cloud computing is the hottest topic in today's world and is being used by most of the information technology companies due to its benefits in cost saving and ease of use. It is a dynamic, scalable, and pay-per-use distributed computing model. The cloud computing is aims to give access to remote and geographically distributed resources. Scheduling the job from one data center to other data center or from one region of cloud to other region is truly a testing in cloud environment. However, when data are shifted from one data center to other data center, huge amount of carbon dioxide (CO 2 ) gases emits and also consumes more power. Since energy is an important issue, that is, why green cloud computing comes into the picture. Green cloud computing can be obtained by applying various techniques and algorithms, which use less power and emits less CO 2 gas, that is, damaging the environment. Cloud provides many facilities to its tenants such as sharing of resources for different purposes. In cloud domain, job scheduling is one of the biggest and hypothetical problems. Numerous investigations for scheduling a job and efforts carried out in this regard because it is one of the main jobs to get the most profit. Scheduling can decrease the power consumption. So many algorithms had been proposed for this purpose, and a lot more had to be done. In the paper, intends to present a variety of energy-efficient job scheduling algorithms along with performance comparison analysis of various preexisting algorithms for scheduling jobs to provide energy efficiency in green cloud computing.

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A Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing

Cited by 11 publications

References 8 publications

Green Cloud Computing: A Literature Survey

Green Cloud Computing: A Literature Survey

Load balancing with preemptive and non-preemptive task scheduling in cloud computing

A Review on Energy Efficient Job Scheduling Algorithms in Green Cloud Computing

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