The Concept of Application Clustering in Cloud Computing Environments: The Need for Extending the Capabilities of Virtual Networks

Kosińska, Joanna; Kosiński, Jacek; Zieliński, Krzysztof

doi:10.1109/iccgi.2010.34

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…They further showed that the scheme can improve scheduling accessibility. Kosinska et al [8] proposed a variety of phases to improve the reliability and scalability of the applications that run on cloud resources. Ghanbaria and Othman [9] reported on a technique similar to this study.…”

Section: Related Workmentioning

confidence: 99%

A Two-Step Job Scheduling Algorithm Based on Priority for Cloud Computing

Kim¹

2013

Journal of information and communication convergence engineerin

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Cloud systems are popular computing environment because they can provide easy access to computing resources for users as well as efficient use of resources for companies. The resources of cloud computing are heterogeneous and jobs have various characteristics. One such issue is effective job scheduling. Scheduling in the cloud system may be defined as a multiple criteria decision model. To address this issue, this paper proposes a priority-based two-step job scheduling algorithm. On the first level, jobs are classified based on preference. Resources are dedicated to a job if a deadline failure would cause severe results or critical business losses. In case of only minor discomfort or slight functional impairment, the job is scheduled using a best effort approach. On the second level, jobs are allocated to adequate resources through their priorities that are calculated by the analytic hierarchic process model. We then analyze the proposed algorithm and make a scheduling example to confirm its efficiency.

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Section: Related Workmentioning

confidence: 99%

A Two-Step Job Scheduling Algorithm Based on Priority for Cloud Computing

Kim¹

2013

Journal of information and communication convergence engineerin

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“…CC is an example for accrediting [3] helpful, onrequest organized connection to a common collection of processing resources which are configurable that are immediately discharged and then provisioned with a minimum effort by the management or interaction of service provider [4]. The idea is for increasing more extensive acknowledgment among research clusters (CC Centers of Excellence) and in the business, where it is regularly connected (eg.…”

Section: Introductionmentioning

confidence: 99%

A Manifestation of Cloud Computing Environments for Application Clusters, High-Performance Clusters and Allocation strategies for Virtual Machines

K¹,

Reddy²,

Sushmitha³

2019

IJSRCSEIT

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Cloud Computing (CC) is the advancement of the Grid Computing (GC) worldview in the direction of administration arranged structures. The phrasing connected to this sort of handling, while portraying shared resources, alludes to the idea of Service of X. Such assets are accessible on interest and at an altogether low cost contrasted with self-conveyance of individual segments. CC is found everywhere in current situations, from vast scale associations to a just little scale business, everybody is equipping themselves cloud. Due to its effortlessness, observing and support over remote association, expansive territory inclusion. Cloud can be any sort Software as an administration, stage as an administration, foundation as an administration dependent on its use. High Performance Computing (HIPECO) implies the accumulation of computational capacity to build the capacity of handling substantial issues in science, designing, and business. HIPECO on the cloud permits performing on interest HIPECO errands by superior clusters in a cloud atmosphere. Currently, CC arrangements (e.g., Microsoft Azure, Amazon EC2) enable the users to make use of only the fundamental storage and computational utilities. They prevent the allowance of custom adjustments of the topology designs or parameters of the system. The associations structures of the nodes in HIPECO clusters ought to give a quick bury node correspondence. It is vital that adaptability is safeguarded also. In a foundation, as an administration, virtualization viably maps virtual machines to the physical machines. In spite of the fact that it is difficult, undertaking for hypervisor to choose fitting host to serve up and coming virtual machine is a must requirement. In this paper, our main aim is to examine different techniques/types of cluster topology mapping and their necessities in numerous Cloud situations to accomplish higher dependability along with adaptability of utilization which is executed inside Cloud resources (CR), HIPECO resource allocation (RA) on the cloud clusters and Cluster based designation procedure.

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