Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
A statistical admission control algorithm for multimedia servers
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
IEEE Internet Computing
The workload on parallel supercomputers: modeling the characteristics of rigid jobs
Journal of Parallel and Distributed Computing
Performance, Power Efficiency and Scalability of Asymmetric Cluster Chip Multiprocessors
IEEE Computer Architecture Letters
Resource allocation for remote desktop sessions in Utility Grids: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Seamless live migration of virtual machines over the MAN/WAN
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Resource overbooking and application profiling in a shared Internet hosting platform
ACM Transactions on Internet Technology (TOIT)
Future Generation Computer Systems
Sandpiper: Black-box and gray-box resource management for virtual machines
Computer Networks: The International Journal of Computer and Telecommunications Networking
Resource pool management: Reactive versus proactive or let's be friends
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Designing and evaluating an energy efficient Cloud
The Journal of Supercomputing
Advanced Computational Infrastructures for Parallel and Distributed Applications
Advanced Computational Infrastructures for Parallel and Distributed Applications
Resource allocation algorithms for virtualized service hosting platforms
Journal of Parallel and Distributed Computing
Energy Efficient Resource Management in Virtualized Cloud Data Centers
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Energy-Efficient Cloud Computing
The Computer Journal
Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Energy efficient utilization of resources in cloud computing systems
The Journal of Supercomputing
Statistical service assurances for traffic scheduling algorithms
IEEE Journal on Selected Areas in Communications
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In virtual desktop cloud computing, user applications are executed in virtual desktops on remote servers. This offers great advantages in terms of usability and resource utilization; however, handling a large amount of clients in the most efficient manner poses important challenges. Especially deciding how many clients to handle on one server, and where to execute the user applications at each time is important. Assigning too many users to one server leads to customer dissatisfaction, while assigning too little leads to higher investments costs. We study different aspects to optimize the resource usage and customer satisfaction. The results of the paper indicate that the resource utilization can increase with 29% by applying the proposed optimizations. Up to 36.6% energy can be saved when the size of the online server pool is adapted to the system load by putting redundant hosts into sleep mode.