Dynamic service placement and replication framework to enhance service availability using team formation algorithm

Ooi, Boon-Yaik; Chan, Huah Yong; Cheah, Yu-N

doi:10.1016/j.jss.2012.02.010

Cited by 19 publications

(9 citation statements)

References 19 publications

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“…For instance, in [27], failure detection is implemented together with failure mitigation (recovery) in a process called Fault Injection. This process aims to evaluate the framework capacity to handle failover possibilities.…”

Section: Failure Detectionmentioning

confidence: 99%

High availability in clouds: systematic review and research challenges

et al. 2016

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Cloud Computing has been used by different types of clients because it has many advantages, including the minimization of infrastructure resources costs, and its elasticity property, which allows services to be scaled up or down according to the current demand. From the Cloud provider point-of-view, there are many challenges to be overcome in order to deliver Cloud services that meet all requirements defined in Service Level Agreements (SLAs). High availability has been one of the biggest challenges for providers, and many services can be used to improve the availability of a service, such as checkpointing, load balancing, and redundancy. Beyond services, we can also find infrastructure and middleware solutions. This systematic review has as its main goal to present and discuss high available (HA) solutions for Cloud Computing, and to introduce some research challenges in this area. We hope this work can be used as a starting point to understanding and coping with HA problems in Cloud.

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Section: Failure Detectionmentioning

confidence: 99%

High availability in clouds: systematic review and research challenges

et al. 2016

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“…The framework issues a replication decision on another server host when the predicted response time exceeds 90% of the SLA time without considering the arrival rate. The authors in [22] have suggested a framework for dynamic placement of service and service replication to improve the availability of services using a team formation algorithm. The framework concentrates on cost management, performance, and availability in the event of web service failover and does not consider the arrival rate and International Journal of Distributed Sensor Networks 3 response time while replicating the web service.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service

Ramalingam

Mohandas

2016

International Journal of Distributed Sensor Networks

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Present day businesses revolve around internet applications (e.g., e-commerce, e-business, and internet banking) which are primarily supported by web services. The increasing consumer reliance on these internet-based applications causes dynamic variation in the number of requests received by web services and a slowdown in response time during peak load periods. To overcome this difficulty, in this paper, we propose a fuzzy logic (FL) based prediction and replication framework to replicate the web services over distributed servers and achieve timely responses. This framework senses the proximity of future interval response time against agreed service level agreement (SLA) time using sensor web called proximity sensor service. Also, it determines the replication requirement using FL and implements the FL decision using resource control algorithm to replicate the web service on another server before the SLA time is violated or to reclaim the excess resource. We conduct appropriate test scenarios in a dedicated test environment and compare the results with existing models. The results show that our framework replicates the web service at more appropriate times than the existing models and achieves 82% prediction accuracy. Thus, our framework significantly improves the availability of web services with minimal intervention from system administrators.

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“…One of the main aims of replication is to provide availability as discussed in (Wenbing 2007 ; Liang and Bin 2010 ; Ooi et al 2012 ). In addition, it also improves the performance of the entire system that the different Web services operate on (Keidl et al 2003 ; You et al 2009 ; Björkqvist et al 2012 ).…”

Section: Related Workmentioning

confidence: 99%

A study of an adaptive replication framework for orchestrated composite web services

2013

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Replication is considered one of the most important techniques to improve the Quality of Services (QoS) of published Web Services. It has achieved impressive success in managing resource sharing and usage in order to moderate the energy consumed in IT environments. For a robust and successful replication process, attention should be paid to suitable time as well as the constraints and capabilities in which the process runs. The replication process is time-consuming since outsourcing some new replicas into other hosts is lengthy. Furthermore, nowadays, most of the business processes that might be implemented over the Web are composed of multiple Web services working together in two main styles: Orchestration and Choreography. Accomplishing a replication over such business processes is another challenge due to the complexity and flexibility involved. In this paper, we present an adaptive replication framework for regular and orchestrated composite Web services. The suggested framework includes a number of components for detecting unexpected and unhappy events that might occur when consuming the original published web services including failure or overloading. It also includes a specific replication controller to manage the replication process and select the best host that would encapsulate a new replica. In addition, it includes a component for predicting the incoming load in order to decrease the time needed for outsourcing new replicas, enhancing the performance greatly. A simulation environment has been created to measure the performance of the suggested framework. The results indicate that adaptive replication with prediction scenario is the best option for enhancing the performance of the replication process in an online business environment.

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Dynamic service placement and replication framework to enhance service availability using team formation algorithm

Cited by 19 publications

References 19 publications

High availability in clouds: systematic review and research challenges

High availability in clouds: systematic review and research challenges

A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service

A study of an adaptive replication framework for orchestrated composite web services

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