A Threshold-based Dynamic Resource Allocation Scheme for Cloud Computing

Lin, Weiwei; Wang, James; Liang, Chunyong; Qi, Deyu

doi:10.1016/j.proeng.2011.11.2568

Cited by 119 publications

(58 citation statements)

References 9 publications

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“…We infer that Journal of Software Engineering and Applications for any application design, it is important to understand the management of the application transactional processes and its implication within its operational environment. Accordingly, scheduling of transactions and management of their execution time are important performance requirements of any enterprise application [25] [26].…”

Section: Design Concerns For Resource-intensive Applicationsmentioning

confidence: 99%

Application Resource Management for Highly Computational Applications in the Operational Environment: A Critical Review

Balikuddembe¹,

Gudu²

2017

JSEA

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Computational resources have such a significant influence on the operation of any software application, it is therefore important to understand how these applications utilize these resources. Modern resource-intensive enterprise and scientific applications are creating a growing demand for high performance computing infrastructures. They constantly interact with and rely heavily on complex resources. However, they often operate in resource-limited environments yet they often handle massive data, both in size and complexity. Software application services, processes or transactions compete for the much required but scarce resources. This creates the need to improve the existing resource allocation and management issue in such operational environments, as well as propose new ones, if necessary. Software developers try to analyze application operation environment using diverse analysis and design methods. Our aim therefore, is to design a tool that is able to work with a hybrid of adaptive and prediction-based resource management and allocation models while applying the priority based job scheduling algorithm to try and solve the application resource management challenges currently being faced in such environments, even if, partially.

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Section: Design Concerns For Resource-intensive Applicationsmentioning

confidence: 99%

Application Resource Management for Highly Computational Applications in the Operational Environment: A Critical Review

Balikuddembe¹,

Gudu²

2017

JSEA

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“…Weiwei Lin, James Z. Wang, Chen Liang, Deyu Qi author proposed an architecture [3] threshold-based dynamic resource allocation scheme for cloud computing that dynamically allocate the virtual resources (virtual machines) among the cloud computing applications based on their load changes and can use the threshold method to optimize the decision of resource reallocation. Threshold-based dynamic resource allocation scheme consists of two procedures, Datacenter and Broker.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Resource Allocation for Virtual Machine in Cloud

2017

IJAERD

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“…In paper [10] author has proposed a scheduling algorithm at application level rather that assigning the resources to the task. Author has proposed a threshold based scheduling algorithm that allocates the virtual machines dynamically rather that static assignment.…”

Section: Resource Utilization Cost Cloudsimmentioning

confidence: 99%

An Analysis Report of Workflow Scheduling Algorithm for Cloud Environment

Bhatia¹,

Sharma²

2015

IJCA

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Cloud is almost an inseparable part of human's life, we are not aware but when we are sharing/storing our photographs online in our emails or social sites then we are using cloud services instead of storing them in our computer's hard drive or sharing them via hard devices. In the official works as well we many times comes into a situation to call a web service rather than themselves creating it in house and invoking, this comes under cloud computing. The workflows in cloud environment can be scheduled as needed based on the user's requirement as well as the scheduling algorithms concept. Different scheduling algorithm considers different parameters for the scheduling of task workflows and there outputs are also different. Some considers time or deadline as the base parameter and tries to complete the task within the provided deadline, they are also known as hard deadline based algorithms whereas some considers cost as there base parameter where they tries to reduce the cost as much as possible so that it will be economic to the end users. Whereas some are combination of both time and cost where they look after for a solution which can cover the deadlines as well as the solution will not cost much to the end users. There are some traditional scheduling algorithms also which schedules the task workflows like FCFS (First come first serve) and SJF (Shortest job first) which are also helpful in scheduling task as well as performance measurement of new algorithms. In this paper we have studies different and popular scheduling techniques of Workflows in different cloud models and we will analyze their experimental results.

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A Threshold-based Dynamic Resource Allocation Scheme for Cloud Computing

Cited by 119 publications

References 9 publications

Application Resource Management for Highly Computational Applications in the Operational Environment: A Critical Review

Application Resource Management for Highly Computational Applications in the Operational Environment: A Critical Review

Dynamic Resource Allocation for Virtual Machine in Cloud

An Analysis Report of Workflow Scheduling Algorithm for Cloud Environment

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