SDMS-O: A service deployment management system for optimization in clouds while guaranteeing users’ QoS requirements

Quality of service approaches in cloud computing: A systematic mapping study

“…Table 7 summarises the articles on this topic, and the relevant subtopics are briefly summarised in the following sub-sections. [36], [37], -Validation research - [34], [38], [39], [40], [41], [35], [42], [43], [44], [45] [34], [46], [47] [48], [49] [44]…”

A Resource Reservation based Framework for QoS-aware Resource Provision in Cloud Computing

“…This is accomplished by incorporating the customer's CPU usage in the metric definition, but avoiding fake SLA violations when the customer's task does not use all its allocated resources. In [13], the authors presented a Service Deployment Management System for Optimization (SDMS-O) designed with a novel optimization approach for service deployment to improve deployment efficiency and reduce deployment cost while guaranteeing the users' QoS requirements. In SDMS-O, atom-services as its basic units of service applications are first divided into different service families according to compatibility and installation policy, and a service deployment requirement is expressed as an installation expression sequence.…”

Service deployment strategies for efficient execution of composite SaaS applications on cloud platform

“…Several research topics are concerned with such issue, e.g. load balancing (Nakai et al, 2011;Bramson et al, 2010), resource management and allocation Li et al, 2014;Wu et al, 2009), request dispatching (Ranjan and Knightly, 2008;Ranjan et al, 2004), resource provisioning (Wu et al, 2014;Kousiouris et al, 2014), service development models and environments (Tejedor et al, 2011;, service deployment framework and management system (Burg and Dolstra, 2011;Liu et al, 2012), and fault tolerant issues (Laranjeiro and Vieira, 2008). In our work, we explored the issues of service deployment for efficient execution of composite SaaS applications.…”