Placement Service
نویسندگان
چکیده
منابع مشابه
Stochastic Service Placement
Resource allocation for cloud services is a complex task due to the diversity of the services and the dynamic workloads. One way to address this is by overprovisioning which results in high cost due to the unutilized resources. A much more economical approach, relying on the stochastic nature of the demand, is to allocate just the right amount of resources and use additional more expensive mech...
متن کاملDynamic Service Placement in Shared Service Hosting Infrastructures
Large-scale shared service hosting environments, such as content delivery networks and cloud computing, have gained much popularity in recent years. A key challenge faced by service owners in these environments is to determine the locations where service instances (e.g. virtual machine instances) should be placed such that the hosting cost is minimized while key performance requirements (e.g. r...
متن کاملDynamic Service Placement in Mobile Micro-clouds
Cloud computing is an important enabling technique for running complicated applications on resource-limited handheld devices, personal computers, or small enterprise servers, by offloading part of the computation and storage to the cloud. However, traditional centralized cloud architectures are incapable of coping with many emerging applications that are delay-sensitive and require large amount...
متن کاملThe Mediating Role of Placement in Service Quality of Education: From International Students’ Perspective
The drive of this investigation is to diagnose the mediation effect of placement between program quality, industrial link, student satisfaction, and service quality in the circumstance of tertiary education in Malaysia. Using the Cue Utilization theory, the proposed model is tested employing data collected from 173 international students who are pursuing study at University Utara Malaysia throu...
متن کاملElastic Process Optimization – The Service Instance Placement Problem
The Vienna Platform for Elastic Processes (ViePEP) is a research Business Process Management System (BPMS) which additionally provides the functionalities of a cloud resource controller. As the name implies, the system is able to plan, schedule, and enact elastic processes in the cloud. ViePEP allows the integration of di↵erent optimization approaches, which could aim, e.g., at minimum makespan...
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ژورنال
عنوان ژورنال: College & Research Libraries News
سال: 1989
ISSN: 2150-6698,0099-0086
DOI: 10.5860/crln.50.1.66