Learning-Based Reservation of Virtualized Network Resources

Advance Reservation of Network Resources for Multimedia Applications

To guarantee Quality of Services for continuous media like audio and video, intermediate nodes in networks must be able to reserve resources like buffer capacity, CPU time and bandwidth. Several methods have been introduced to verify that new connections can be accepted by the network without violating guarantees made for already established connections. One drawback of all proposed admission c...

Response Time-based Self-tuning Fuzzy Control of Virtualized Resources

Cloud elasticity allows dynamic resource provisioning in concert with actual application demands. Feedback control approaches have been applied with success to resource allocation in physical servers. However, cloud dynamics make the design of an accurate and stable resource controller more challenging, especially when response time is considered as the measured output. Response time is highly ...

Truthful Market-based Trading of Cloud Resources with Reservation Price

With the rapidly growing demand for the cloud services, a need for efficient methods to trade computing resources increases. Commonly used fixed-price model is not always the best approach for trading cloud resources, because of its inflexible and static nature. Dynamic trading systems, which make use of market mechanisms, show promise for more efficient resource allocation and pricing in the c...

Advance Reservation of Resources in Workflow System

This is related to reserve the resource in advance in “Workflow scheduling” of cloud computing. The problem with the traditional allocation of resource is that the resource may be not available when needed and the requested application will be rejected. To overcome this problem, an advance reservation technique is used. Various techniques are used to reserve the resource in advance such as ECA ...

Co-Reservation of Resources in the Grid