An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations

With cloud computing systems becoming popular, it has been a hotspot to design a scalable, highly available and cost-effective data platform. This paper proposed such a data platform using MySQL DBMS blocks. For scalability, a three-level (system, super-cluster, cluster) architecture is applied, making it scalable to thousands of applications. For availability, we use asynchronous replication across geographically dispersed super clusters to provide disaster recovery, synchronous replication within a cluster to perform failure recovery and hot standby or even process pair mechanism for controllers to enhance fault tolerance. For resource utility, we design a novel load balancing strategy by exploiting the key property that the throughput requirement of web applications is flucatuated in a time period. Experiments with NLPIR dataset indicate that the system can scale to a large number of web applications and make good use of resources provided.

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Energy-efficient offloading of real-time tasks using cloud computing

Cluster Computing ◽

10.1007/s10586-020-03086-2 ◽

2020 ◽

Vol 23 (4) ◽

pp. 3273-3288 ◽

Cited By ~ 1

Author(s):

Suzanne Elashri ◽

Akramul Azim

Keyword(s):

Cloud Computing ◽

Real Time ◽

Energy Efficient

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A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Computing ◽

10.1007/s00607-014-0407-8 ◽

2014 ◽

Vol 98 (7) ◽

pp. 751-774 ◽

Cited By ~ 139

Author(s):

Abdul Hameed ◽

Alireza Khoshkbarforoushha ◽

Rajiv Ranjan ◽

Prem Prakash Jayaraman ◽

Joanna Kolodziej ◽

...

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Energy Efficient ◽

Computing Systems ◽

Efficient Resource ◽

Energy Efficient Resource Allocation

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Fault mitigation in real-time cloud computing

Journal of Computer Science and Its Application ◽

10.4314/jcsia.v27i2.6 ◽

2021 ◽

Vol 27 (2) ◽

Author(s):

Osuolale A. Festus ◽

Adewale O. Sunday ◽

Alese K. Boniface

Keyword(s):

Cloud Computing ◽

Real Time ◽

Human Life ◽

Low Cost ◽

Cloud Services ◽

Computing Systems ◽

Cloud Computing Environment ◽

High Performing ◽

Procurement Cost ◽

Data Upload

The introduction of computers has been a huge plus to human life in its entirety because it provides both the world of business and private an easy and fast means to process, generate and exchange information. However, the proliferation of networked devices, internet services and the amount of data being generated frequently is enormous. This poses a major challenge, to the procurement cost of high performing computers and servers capable of processing and housing the big data. This called for the migration of organizational and/or institutional data upload to the cloud for highlevel of productivity at a low cost. Therefore, with high demand for cloud services and resources by users who migrated to the cloud, cloud computing systems have experienced an increase in outages or failures in real-time cloud computing environment and thereby affecting its reliability and availability. This paper proposes and simulates a system comprising four components: the user, task controller, fault detector and fault tolerance layers to mitigate the occurrence of fault combining checkpointing and replication techniques using cloud simulator (CloudSim).

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