Dynamic Scheduling of Requests Based on Impacting Parameters in Cloud Based Architectures

Rajan, Arokia Paul; Francis, F. Sagayaraj

doi:10.1007/978-3-319-03107-1_57

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The user has to assign the values for the parameters and set up the configuration. Load balancing principles are influenced by some of the impacting parameters arising from different aspects of cloud systems [21]. Table 1 shows the list of the identified parameters and their description that are used in RAS.…”

Section: Cloud Dashboard (Cd)mentioning

confidence: 99%

RAS: Request Assignment Simulator for Cloud-Based Applications

2015

KSII TIIS

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Applications deployed in cloud receive a huge volume of requests from geographically distributed users whose satisfaction with the cloud service is directly proportional to the efficiency with which the requests are handled. Assignment of user requests based on appropriate load balancing principles significantly improves the performance of such cloud-based applications. To study the behavior of such systems, there is a need for simulation tools that will help the designer to set a test bed and evaluate the performance of the system by experimenting with different load balancing principles. In this paper, a novel architecture for cloud called Request Assignment Simulator (RAS) is proposed. It is a customizable, visual tool that simulates the request assignment process based on load balancing principles with a set of parameters that impact resource utilization. This simulator will help to ascertain the best possible resource allocation technique by facilitating the designer to apply and test different load balancing principles for a given scenario.

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Section: Cloud Dashboard (Cd)mentioning

confidence: 99%

RAS: Request Assignment Simulator for Cloud-Based Applications

2015

KSII TIIS

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“…Parallel computing technique was developed from serial computers to overcome the single state of work and to exploit multitasking. Performance improvement by application partitioning and scheduling tasks [1]- [2] on interconnected nodes to execute concurrently is the contemporary approach. With an increase in the number of processes/processors, the work done by each process/processor decreases [3]- [4].…”

Section: Introductionmentioning

confidence: 99%

Appropriate Synchronization Time Allocation for Distributed Heterogeneous Parallel Computing Systems

2019

KSII TIIS

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Parallel computing system components should be harmonized, and this harmonization is kept existent using synchronization time. Synchronization time affects the system in two ways. First, if we have too little synchronization time, some tasks face the problem of harmonization, as they need appropriate time to update and synchronize with the system. Second, if we allocate a large amount of time, stall system created. Random allocation of synchronization time for parallel systems slows down not only the booting time of the system but also the execution time of each application involved in the system. This paper presents a simulator used to test and allocate appropriate synchronization time for distributed and parallel heterogeneous systems. The simulator creates the parallel and heterogeneous system to be evaluated, and lets the user vary the synchronization time to optimize the booting time. NS3-cGEM5 simulator in this paper is formed by HLA-RTI federation integration of the two independent architecture and network simulators-NS3 and cGEM5. Therefore, nodes created on these simulators need synchronizations for harmonized system performance. We tested and allocated the appropriate synchronization time for our sample parallel system composed of one x86 server and three ARM clients.

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Design principles of request scheduler in cloud

Rajan

Francis

2015

2015 International Conference on Computer Communication and Informatics (ICCCI)

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Dynamic Scheduling of Requests Based on Impacting Parameters in Cloud Based Architectures

Cited by 4 publications

References 7 publications

RAS: Request Assignment Simulator for Cloud-Based Applications

RAS: Request Assignment Simulator for Cloud-Based Applications

Appropriate Synchronization Time Allocation for Distributed Heterogeneous Parallel Computing Systems

Design principles of request scheduler in cloud

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