A study of cloud computing environments for High Performance applications

Sajay, K. R.; Babu, Suvanam Sasidhar

doi:10.1109/sapience.2016.7684127

Cited by 24 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Institutions National Innovation Systems and Hpc In The Cont...mentioning

confidence: 99%

“…However, the HPC remains costly infrastructure, expensive also to maintain (Sajay and Babu, 2016), and it is the cost that are seen as the major burden for SMEs when deciding to adopt HPC (Botelho Junior and O'Gorman, 2022). Additionally, it is Sakellariou et al (2018) who is focussing on challenges in interplay between Industry 4.0 and HPC, especially in the context of smart manufacturing systems.…”

Section: Diffusing High-performance Computing In the European Unionmentioning

confidence: 99%

See 1 more Smart Citation

Key policy mechanisms supporting the University–Industry collaboration in the Danube region: case study of academic HPC centres and SMEs

Besednjak Valič,

Kolar,

Lamut

et al. 2023

EJMBE

View full text Add to dashboard Cite

Purpose This paper aims to explore the key anchors of the National Innovation System shaping the nature of collaboration between academic high-performance computing centres (academic HPC centres) and small- to medium-sized enterprises (SMEs) working in the automotive and electronics sectors of the Danube region. With two main research questions, it discusses the importance of knowledge transfer and technology transfer for collaboration between University and Industry (U-I collaboration) in three groups of developmentally distinct countries: competitively advanced, competitively intermediate and competitively lagging. As main anchors of the innovation system, stable legal environment, exciting innovation policies and strong R&D funding are recognised.Design/methodology/approachA qualitative empirical study in 14 Danube region countries included 92 focus group participants, expert representatives of academic HPC centres and SMEs. The data were audio recorded, transcribed and analysed.FindingsThe findings show the main prerequisites of the framework conditions for efficient U-I collaboration evolve through a goal-oriented National Innovation Policy and developed and functioning legal environment supporting labour market and intellectual property (IP) protection and enforcement. Additionally, skilled people are needed to be able to operate with HPC, where it seems all the countries lack such skilled workforce. In competitively lagging countries, the high levels of brain drain exhibit strong impact to U-I collaboration.Research limitations/implicationsResearch into relationships between academic HPC centres and SMEs conducted was qualitative; therefore, limitations in terms of generalisation arise from it. On the other hand, the research is promising in terms of offering the guidance for policy makers who can use the findings when delivering innovation policy mix, adjusted to developmental level of own innovation ecosystem.Originality/value The study is among the pioneering work in U-I collaboration between academic HPC centres and SMEs from automotive and electronics industries in the Danube region. The research addresses the dynamics of collaboration and offers policy implications to strengthen the particular U-I collaboration.

show abstract

Section: Institutions National Innovation Systems and Hpc In The Cont...mentioning

confidence: 99%

Section: Diffusing High-performance Computing In the European Unionmentioning

confidence: 99%

Key policy mechanisms supporting the University–Industry collaboration in the Danube region: case study of academic HPC centres and SMEs

Besednjak Valič,

Kolar,

Lamut

et al. 2023

EJMBE

View full text Add to dashboard Cite

show abstract

“…(Borstnar and Ilijas, 2019). However, HPC mainly depends on in-house hardware and infrastructure (Monteiro et al , 2015); it is expensive to purchase and maintain (Sajay and Babu, 2016), especially for small- and medium-size enterprises (SMEs) (Botelho and O’Gorman, 2021). In addition, because of limited resources, those SMEs considering the large investment cannot afford the infrastructure to be either underutilized or overloaded (Mauch et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, due to limited resources, those SMEs considering the large investment cannot afford the infrastructure to be either underutilized or overloaded (Mauch et al, 2013). On the other hand, SMEs can benefit from accessing HPC through the cloud (Gašperlin et al, 2019) in terms of improving performance, expanding business and sustaining their development (Botelho and O'Gorman, 2021) as the providers could provide pay-as-you-go costing options for SMEs, faster corresponding time, greater efficiency and unlimited storage space (Sajay and Babu, 2016) without owning the infrastructure (Gašperlin et al, 2019). In order to save cost and improve performance, SMEs are exploring the potential of accessing HPC through the cloud (Monteiro et al, 2015).…”

mentioning

confidence: 99%

An exploration of high performance computing cloud contract for SMEs: a systematic literature review

Damij

Whalley

2022

DPRG

View full text Add to dashboard Cite

Purpose High performance computing (HPC) is used to solve complex calculations that personal computing devices are unable to handle. HPC offers the potential for small- and medium-size enterprises (SMEs) to engage in product innovation, service improvement and the optimization of resource allocation (Borstnar and Ilijas, 2019). However, the expensive infrastructure, maintenance costs and resource knowledge gaps that accompany the use of HPC can make it inaccessible to SMEs. By moving HPC to the cloud, SMEs can gain access to the infrastructure without the requirement of owning or maintaining it, but they will need to accept the terms and conditions of the cloud contract. This paper aims to improve how SMEs access HPC through the cloud by providing insights into the terms and conditions of HPC cloud contracts. Design/methodology/approach This paper adopts a systematic literature review by implementing a four-step approach. A comprehensive search was undertaken and results synthesized to enable this paper’s objectives to be met. Findings This paper proposes that SMEs could gain competitive advantage(s) by understanding their own needs and improving their contract negotiation abilities, service management skills and risk management abilities before accepting the terms and conditions of the cloud contract. Furthermore, a checklist, service-level agreement, easily ignored elements and risk areas are presented as guidance for SMEs when reviewing their HPC cloud contract(s). Originality/value While HPC cloud contracts are a niche research topic, it is one of the key factors influencing the ability of SMEs to access HPC through the cloud. It is, however, by no means a level playfield with SMEs at a distinct disadvantage because of not influencing the writing up of the HPC cloud contract. The added value of the paper is that it contributes to our overall understanding of the terms and conditions of HPC cloud contracts.

show abstract

“…In the clustered conditions, rapid, low-inertness links and protocols for internode correspondences are basic.The Sun Cluster interconnect can work on GigabitEthernet, Fast Ethernet, Sun Fire Link, or the committed, repetitive system associations among physical PCs on which VMs work) for the cluster to satisfy its proposals and prerequisites, giving expanded dependability to applications running in infrastructures of Cloud. Applications of HIPECO In Cloud In the expanding interest for superior, effectiveness, readiness and lower cost[19], since quite a while,…”

mentioning

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

View full text Add to dashboard Cite

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.

show abstract

A study of cloud computing environments for High Performance applications

Cited by 24 publications

References 5 publications

Key policy mechanisms supporting the University–Industry collaboration in the Danube region: case study of academic HPC centres and SMEs

Key policy mechanisms supporting the University–Industry collaboration in the Danube region: case study of academic HPC centres and SMEs

An exploration of high performance computing cloud contract for SMEs: a systematic literature review

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

Contact Info

Product

Resources

About