Failure-aware resource provisioning for hybrid Cloud infrastructure

Javadi, Bahman; Abawajy, Jemal; Buyya, Rajkumar

doi:10.1016/j.jpdc.2012.06.012

Cited by 152 publications

(79 citation statements)

References 40 publications

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“…FTA data can be used for various scheduling problems [51,48,52]. Scheduling in systems with volatile resource, such as volunteer computing environments, may not be able to use the same approaches developed for more stable systems.…”

Section: Discussion: On the Current And Future Use Of The Ftamentioning

confidence: 99%

The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems

Javadi

Kondo

Iosup

et al. 2013

Journal of Parallel and Distributed Computing

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With the increasing presence, scale, and complexity of distributed systems, resource failures are becoming an important and practical topic of computer science research. While numerous failure models and failure-aware algorithms exist, their comparison has been hampered by the lack of public failure data sets and data processing tools. To facilitate the design, validation, and comparison of fault-tolerant models and algorithms, we have created the Failure Trace Archive (FTA)-an online, public repository of failure traces collected from diverse parallel and distributed systems. In this work, we first describe the design of the archive, in particular of the standard FTA data format, and the design of a toolbox that facilitates automated analysis of trace data sets. We also discuss the use of the FTA for various current and future purposes. Second, after applying the toolbox to nine failure traces collected from distributed systems used in various application domains (e.g., HPC, Internet operation, and various online applications), we present a comparative analysis of failures in various distributed systems. underline the need for public availability of trace data from different distributed systems. Last, we show how different interpretations of the meaning of failure data can result in different conclusions for failure modeling and job scheduling in distributed systems. Our results for different interpretations show evidence that there may be a need for further revisiting existing failureaware algorithms, when applied for general rather than for domain-specific distributed systems.

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Section: Discussion: On the Current And Future Use Of The Ftamentioning

confidence: 99%

The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems

Javadi

Kondo

Iosup

et al. 2013

Journal of Parallel and Distributed Computing

Self Cite

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“…Bahman Javadi et al [16] considered the issue of QoSbased asset provisioning in a cross breed Cloud figuring framework where the private Cloud is disappointment inclined and built up an adaptable and versatile half breed Cloud design to take care of the issue of asset provisioning for clients' solicitations. The proposed engineering uses the Inter Grid ideas which depend on the virtualization innovation and embrace an entryway (IGG) to interconnect distinctive asset suppliers.…”

Section: A Qos Based Resource Provisioningmentioning

confidence: 99%

Investigating Methods of Resource Provisioning Mechanisms in Cloud: A Review

Malik¹,

Anwar²,

Ilyas³

et al. 2018

ijacsa

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Abstract-Delivering information through cloud computing become a modern computation. For this purpose, electronic device is required to access with an active web server. For delivering different resources, the cloud supplier provides computing power for the cloud users to organize their multiple type of application at any time on different platforms. In cloud computing, the main drawback is relevant to the best use of resources as well as resource provisioning. In cloud computing there is a lack of desired resources that is why the cloud resource provision becomes a daring work. To maintain the quality of services, the provisioning of reasonable resources is need of workloads. The main problem is to find the appropriate workload that depends on the cloud user that is related to resource pair application requirements. This paper reveals the cloud resource provisioning and identification in general and in specific, respectively. In this paper, a methodical analysis of resource provisioning in cloud computing is presented, in which resource provisioning, different types of resource provisioning mechanisms and their comparisons, and benefits are described.

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“…To deal with the resource failure during the execution, perfect check pointing fault tolerance mechanism was introduced so that the request is started from where it was left. [14] also proposed a cost-aware and failureaware three step resource provisioning policy for hybrid clouds to enhance the capacity and performance of the local cluster in the presence of resource failure by decreasing the Average Weighted Response Time (AWRT). Tightly coupled applications such as Computational Fluid Dynamic (CFD) consisting of several tasks dependent on each other were used.…”

Section: Related Workmentioning

confidence: 99%

On Cost and Energy Efficiency of Security in Cloud Computing

Thompson¹,

Olofinlade²,

Bello³

2018

IJCA

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Clouds are virtualized datacentres and applications offered as services. Cloud datacentre hosts hundreds of servers with software and hardware constituents that requires huge amount of energy for its operation. This poses energy consumption challenge, as well as server consolidation and data security due to the required technologies. This study, therefore, focuses on the cost effectiveness and energy efficiency of securing the cloud. Cost, in this context, is the continuous efforts made by cloud vendors in maintaining and ensuring that cloud infrastructures are equipped with state-of-the-art facilities that are energy efficient and conform to Power Usage Effectiveness (PUE), Service Level Agreements (SLAs) and Quality of Service (QoS) standards. Various factors that causes inefficiency in the cloud are considered in addition to conducts that ensure cost effective and energy efficient security in the cloud were evaluated using cloudsim and cloudreports, toolkits for modelling and simulating cloud environment as well as the feasibility of reducing the energy consumed in datacentres. The experimental results using Power Usage Effectiveness (PUE) and DataCentre Infrastructure Efficiency (DCIE) techniques for analyzing the energy consumed in datacentres demonstrates enhanced cloud productivity is achievable with reduced energy consumption in datacentres.

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Failure-aware resource provisioning for hybrid Cloud infrastructure

Cited by 152 publications

References 40 publications

The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems

The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems

Investigating Methods of Resource Provisioning Mechanisms in Cloud: A Review

On Cost and Energy Efficiency of Security in Cloud Computing

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