Cloud Computing: Issues and Challenges

Dillon, Tharam S.; Wu, Chen; Chang, Elizabeth

doi:10.1109/aina.2010.187

Cited by 1,001 publications

(512 citation statements)

References 7 publications

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“…Thus, the cloud consumer is able to reach the application usually via a browser. With SaaS, there is no need to purchase the application license or install the application on the consumer"s own computers and these application are usually shared by multiple clients using the (multi-tenancy architecture) [6], [8], [13], [14]. (Bezemer & Zaidman) defined the multi-tenant application by its main feature which is "the application that allows customers (tenants) to share the same hardware resources, by offering one shared application and database instance" [15].…”

Section: B Saas Definitionmentioning

confidence: 99%

Configuration as a Service in Multi-Tenant Enterprise Resource Planning System

Al-Shardan¹,

Ziani²

2015

LNSE

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Abstract-Enterprise resource planning (ERP) systems are the organizations tickets to the global market. Thus, organizations can manage and coordinate all functions, processes, resources and data from different departments by a single software. However, many organizations consider the cost of traditional ERP is expensive and look for alternative affordable solutions within their budget. One of these alternative solutions is providing ERP over a software as a service (SaaS) model. A key feature of any SaaS system is the multi-tenancy architecture where multiple customers (tenants) share the system software. However, the SaaS developers accommodate each tenant's unique requirements by allowing tenant-level customization or configuration. While customization requires source code changes and in most cases a programming experience, the configuration process allows user to change many features within a pre-defined scope in an easy and controlled manner. Although literature provides many techniques to accomplish the configuration process in different SaaS systems, the nature and complexity of SaaS ERP are merely described in previous researches. Thus, this research is built on strong knowledge regarding the configuration in SaaS to define specifically the configuration borders in SaaS ERP and to design a configuration service with the consideration of the different configuration aspects.Index Terms-Configuration, software as a service, multi-tenancy, ERP.

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Section: B Saas Definitionmentioning

confidence: 99%

Configuration as a Service in Multi-Tenant Enterprise Resource Planning System

Al-Shardan¹,

Ziani²

2015

LNSE

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“…d) Rapid Elasticity: It should be flexible according to the computing resources required for the customers. For example, there is no up-front commitment and the customers should be able to relinquish the resources once their work is done [15]. e) Measure of Service: There should be a framework that measures the usage of each user according to the resources that are being used by it [16].…”

Section: A Cloud Computingmentioning

confidence: 99%

A Trust-Evaluation Metric for Cloud applications

Alhamad¹,

Dillon²,

Chang³

2011

IJMLC

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Abstract-Cloud services are becoming popular in terms of distributed technology because they allow cloud users to rent well-specified resources of computing, network, and storage infrastructure. Users pay for their use of services without needing to spend massive amounts for integration, maintenance, or management of the IT infrastructure. Before interaction occurs between cloud providers and users, trust in the cloud relationship is very important to minimize the security risk and malicious attacks. The notion of trust involves several dimensions. These dimensions include: the scalability, availability, security, and usability parameters of IaaS, PaaS, SaaS, and DaaS. Each of these dimensions is characterized by fuzzy aspects and linguistic terms. This paper develops a model for each of the dimensions for IaaS using fuzzy-set theory. It then uses the sugeno fuzzy-inference approach for developing an overall measure of trust value of the cloud providers. It is not easy to evaluate the cloud metrics for a general domain. So, in this paper, we will use an e-learning application as the main example when we collect the data and apply the fuzzy model to evaluate the trust for cloud computing. Test and results are presented to evaluate the effectiveness and robustness of the proposed model.

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“…Manuscript received October 11, 2013; revised December 7, 2013 On the other hand, the resources on the cloud are pooled in order to serve multiple subscribers. The provider use multi-tenancy model where the resources (physical and virtual) are reassigned dynamically based on the tenant requirement [5]. The assigning of the resources will be based on the lease and SLA agreement, whereby different clients will need more or less amount of virtual resources.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Resource Allocation and Monitoring in Cloud Computing

Mohamaddiah¹,

Abdullah²,

Subramaniam³

et al. 2014

IJMLC

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Abstract-The cloud provider plays a major role especially providing resources such as computing power for the cloud subscriber to deploy their applications on multiple platforms anywhere; anytime. Hence the cloud users still having problem for resource management in receiving the guaranteed computing resources on time. This will impact the service time and the service level agreements for various users in multiple applications. Therefore there is a need for a new resolution to resolve this problem. This survey paper conducts a study in resource allocation and monitoring in the cloud computing environment. We describe cloud computing and its properties, research issues in resource management mainly in resource allocation and monitoring and finally solutions approach for resource allocation and monitoring. It is believed that this paper would benefit both cloud users and researchers for further knowledge on resource management in cloud computing.Index Terms-Resource allocation, resource monitoring, cloud computing, resource management. I. INTRODUCTIONCloud Computing, a service model was introduced to provide computing resources such as computing power, storage and bandwidth to deliver the IT services to the organization. This service model is rapidly being adopted by many organizations because it offers lots of business opportunity especially in terms of financial investment and human capital. With cloud services, the organization may opt out to set up a data center for its IT infrastructure or to procure hardware and software for its business applications as they can lease the resources from the cloud service provider. Initial providers in cloud computing such as Amazon EC2 [1], Google Apps Engine [2] , Microsoft Azure [3], SalesForce.com [4] offers great business value to the interested organizations who want to subscribe the services with a concept pay-per-use, on-demand and a defined Service level agreements (SLAs). For example, Google Apps Engine offers monthly uptime percentage: 99.00% -< 99.95% for client for its covered services. For the downtime period, they offer a period of five consecutive minutes of downtime. This value is an attractive package for the client, because they manage to control the usage of resources and demands more, faster and reliable infrastructure. Manuscript received October 11, 2013; revised December 7, 2013 On the other hand, the resources on the cloud are pooled in order to serve multiple subscribers. The provider use multi-tenancy model where the resources (physical and virtual) are reassigned dynamically based on the tenant requirement [5]. The assigning of the resources will be based on the lease and SLA agreement, whereby different clients will need more or less amount of virtual resources. Subsequently, the growth of demands for cloud services is bringing more challenge for the provider to provide the resources to the client subscriber. Therefore, in this paper we provide a review on cloud computing which focus on resource management: allocation and monitoring. Our methodolo...

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Cloud Computing: Issues and Challenges

Cited by 1,001 publications

References 7 publications

Configuration as a Service in Multi-Tenant Enterprise Resource Planning System

Configuration as a Service in Multi-Tenant Enterprise Resource Planning System

A Trust-Evaluation Metric for Cloud applications

A Survey on Resource Allocation and Monitoring in Cloud Computing

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