Cost and performance effective data center selection system for scientific federated cloud

Jaikar, Amol; Noh, S. Y.

doi:10.1007/s12083-014-0261-7

Cited by 14 publications

(4 citation statements)

References 15 publications

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“…Data centers are not involved in decision-making on the failure index and energy consumption index. [45] Selecting reliable cloud services for cloud users. The granularity of past data for decision-making is not taken into account, ensuring that outdated information does not influence decision-making.…”

Section: Methodsmentioning

confidence: 99%

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

et al. 2022

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Cloud users have recently expanded dramatically. The cloud service providers (CSPs) have also increased and have therefore made their infrastructure more complex. The complex infrastructure needs to be distributed appropriately to various users. Also, the advances in cloud computing have led to the development of interconnected cloud computing environments (ICCEs). For instance, ICCEs include the cloud hybrid, intercloud, multi-cloud, and federated clouds. However, the sharing of resources is not facilitated by specific proprietary technologies and access interfaces used by CSPs. Several CSPs provide similar services but have different access patterns. Data from various CSPs must be obtained and processed by cloud users. To ensure that all ICCE tenants (users and CSPs) benefit from the best CSPs, efficient resource management was suggested. Besides, it is pertinent that cloud resources be monitored regularly. Cloud monitoring is a service that works as a third-party entity between customers and CSPs. This paper discusses a complete cloud monitoring survey in ICCE, focusing on cloud monitoring and its significance. Several current open-source monitoring solutions are discussed. A taxonomy is presented and analyzed for cloud resource management.

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Section: Methodsmentioning

confidence: 99%

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

et al. 2022

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“…Jaikar and Noh [18] discussed the scientific federated cloud. They proposed the idea to select the cost effective as well as efficient data center for cloud services.…”

Section: Literature Surveymentioning

confidence: 99%

Trust model at service layer of cloud computing for educational institutes

et al. 2015

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Cloud computing is one of those technologies which have revolutionized the modern world. Through this, people can start their businesses without huge investments required for infrastructure like servers, technical staff for maintenance, and purchasing of expensive software, etc. With many advantages, there are few risks involved with cloud computing. There are issues like unavailability of service, i.e., they are down when required. Another issue is of outdated service/stuff provision to the clients by the cloud service providers. Similarly, lacking of effective and quality support services to their customers is another important concern. Moreover, non-capability of cloud B Moneeb Gohar 123 S. Jabbar et al.service provider in honoring the service level agreement is an additional prong in this list. All such issues make cloud service users frustrated. Hence, there is a need of a system which may help the cloud service user to select good cloud service provider. Hence, for the above mentioned issues, in this article, we have proposed a model which will help the cloud service users in finding out the efficient and trustworthy cloud service provider. In put data to the model can be collected from regulatory authorities, performance of cloud service provider in the last one year, and feedback taken from the customers. Moreover, the proposed model is flexible enough to be customized according to the precedence level of aforementioned parameters for the cloud service users, i.e., educational institutes. We have also given a comparative analysis of proposed model with general existing model to portray the importance and requirement of the designed model for the said application domain.

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“…It makes datacenter processing time less compare to existing ones. Simulation results: Solution 4: [3] This algorithm selects datacenter based on two matrices values: Cost v/s Location and Performance v/s Availability. Here, cost means cost per VM, distance means network latency, performance means no.…”

Section: A Static Approaches: [7] Solutionmentioning

confidence: 99%

Cloud Analyst: An Insight of Service Broker Policy

Patel¹,

Patel²

2015

International Journal of Advanced Research in Computer and Comm

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Cloud computing is one of the most promising computing field, which has given the new vision to the computing field. Cloud computing has opened a door as a new model for hosting and delivering services over the Internet. The main aim of cloud computing is to provide the resources as a services to the client. The new concept of Federated Cloud Computing in which multiple datacenters are distributed over different regions. Since the evolution of Cloud Computing: load balancing, energy management, VM migration, brokerage policies, cost modelling and security issues are popular research topics in the field. Deployment of real cloud environment for testing or for commercial use is very costly. Cloud simulators help to model various cloud applications and it is very easy to analyse. In this survey, two cloud simulators: CloudSim and CloudAnalyst, with their overview are presented so it can be easily decided which one is suitable for particular research topic. And also the survey on the service broker policy, its issues and available solutions are presented. Because there is always been the requirement to select appropriate datacenter so that further tasks for processing the request should be carried out with efficiency in least response time. So the issue of selecting appropriate datacenter which is known as service broker policy is kind of important.

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Cost and performance effective data center selection system for scientific federated cloud

Cited by 14 publications

References 15 publications

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey

Trust model at service layer of cloud computing for educational institutes

Cloud Analyst: An Insight of Service Broker Policy

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