In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Abstract

Abstract-The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to the success of cloud computing: in cloud, can small-to-medium scale scientific communities benefit from the economies of scale? Our research contributions are three-fold: first, we propose an innovative public cloud usage model for small-to-medium scale scientific communities to utilize elastic resources on a public cloud site while maintaining their flexible system controls, i.e., create, activate, suspend, resume, deactivate, and destroy their high-level management entities-service management layers without knowing the details of management. Second, we design and implement an innovative system-DawningCloud, at the core of which are lightweight service management layers running on top of a common management service framework. The common management service framework of DawningCloud not only facilitates building lightweight service management layers for heterogeneous workloads, but also makes their management tasks simple. Third, we evaluate the systems comprehensively using both emulation and real experiments. We found that for four traces of two typical scientific workloads: high throughput computing (HTC) and many task computing (MTC), DawningCloud saves the resource consumption maximally by 59.5% and 72.6% for HTC and MTC service providers, respectively, and saves the total resource consumption maximally by 54% for the resource provider with respect to the previous two public cloud solutions. To this end, we conclude that small-to-medium scale scientific communities indeed can benefit from the economies of scale of public clouds with the support of the enabling system.

Performance Improvement in Cloud Computing Using Resource Clustering

“…The proposed optimization technique is used to minimize the scheduling throughput to service all the diversified requests according to the different resource allocator available under cloud computing environment. Wang et al (2012) proposed a public cloud usage model for small-to-medium scale scientific communities to utilize elastic resources on a public cloud site. Also, implemented an innovative system named Dawning Cloud, at the core of which a lightweight service management layers running on top of a common management service framework.…”

A Hybrid K-anonymity Data Relocation Technique for Privacy Preserved Data Mining in Cloud Computing

“…Certainly, this is a creative blending of innovative internet services and notions that are useful for the future economic solutions [2], [3]. Stakeholders engaged in computing business chain can save their financial investment substantially in terms of hardware, data storage utilization, and computational power by availing the benefits of this novel electronic-trade model [4]. Lately, customers from every field are gaining the advantages of CC [5].…”

Efficient Cloud Computing for Scientific Communities: Design and Implementation

“…However, L. Wang et al [1] have proved that private cloud needs separate skilled staff to manage the whole systems and only research communities belonging to same institution shared the same cloud resources. Paper [1] concludes that hybrid cloud is not good for some parallel applications due to complexity and network delay. According to L. Wang et al [1] public cloud can provide solutions of all the issues of private and hybrid cloud.…”

“…Paper [1] concludes that hybrid cloud is not good for some parallel applications due to complexity and network delay. According to L. Wang et al [1] public cloud can provide solutions of all the issues of private and hybrid cloud.…”

“…Verma et al [2] classified scientific cloud computing in three categories: first, cloud, according to scientific workflows; second, cloud, according to different workloads; and third, cloud for scientific communities which uses runtime environment (RTE) as an important entity.Paper [2], also classified that DawningCloud [1] comes under the category where RTE is a important entity.…”