Dynamic Time Slice Calculation for Round Robin Process Scheduling Using NOC

Rao, G. Siva Nageswara; Srinivasu, N.; Srinivasu, S. V. N.; Rao, Ganga Rama Koteswara

doi:10.11591/ijece.v5i6.pp1480-1485

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…The proposed technique has managed to decrease the response and execution time but cost was high. Furthermore, Siva et.al [56] proposed RR based scheduling technique that used the average burst time of task to calculate the time quantum. So, it can adjust to the task that needs extra time than the allocated quantum time.…”

Section: Round Robinmentioning

confidence: 99%

Challenges and Issues of Resource Allocation Techniques in Cloud Computing

Abid¹,

Manzoor²,

Farooq³

et al. 2020

KSII TIIS

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In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious allocation requirements in terms of ICT resource capacities (resource utilization, execution time, response time, etc.). This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. However, there is no published research available in this domain that clearly address this research problem and provides research taxonomy for classification of resource allocation techniques including strategic, target resources, optimization, scheduling and power. Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing. More than 70 articles, between year 2007 and 2020, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and are reviewed under clearly defined objectives. Lastly, the evolution of research in resource allocation techniques has also been discussed along with salient future directions in this area.

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Section: Round Robinmentioning

confidence: 99%

Challenges and Issues of Resource Allocation Techniques in Cloud Computing

Abid¹,

Manzoor²,

Farooq³

et al. 2020

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…Similarly, .S. N. Rao, N. Srinivasu, S. V. N. Srinivasu, and G. R. K. Rao [47] introduced a Round Robin-based technique that calculates the time quantum from the average burst time of tasks on the ready queue that can be adjusted dynamically to the tasks that need more time than the allotted time quantum. Furthermore, A.…”

Section: Round Robinmentioning

confidence: 99%

Resource Allocation Techniques in Cloud Computing: A Review and Future Directions

Manzoor

Abid

Farooq

et al. 2020

ELEKTRON ELEKTROTECH

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Cloud computing has become a very important computing model to process data and execute computationally concentrated applications in pay-per-use method. Resource allocation is a process in which the resources are allocated to consumers by cloud providers based on their flexible requirements. As the data is expanding every day, allocating resources efficiently according to the consumer demand has also become very important, keeping Service Level Agreement (SLA) between service providers and consumers in prospect. This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. In the light of the uniqueness of the models and techniques, the main aim of the resource allocation is to limit the overhead/expenses associated with it. This research aims to present a comprehensive, structured literature review on different aspects of resource allocation in cloud computing, including strategic, target resources, optimization, scheduling and power. More than 50 articles, between year 2007 and 2019, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and they are reviewed under clearly defined objectives. It presents a topical taxonomy of resource allocation dimensions, and articles under each category are discussed and analysed. Lastly, salient future directions in this area are discussed.

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