SLA-Based Advance Reservations with Flexible and Adaptive Time QoS Parameters

Abstract

Abstract. Utility computing enables the use of computational resources and services by consumers with service obligations and expectations defined in Service Level Agreements (SLAs). Parallel applications and workflows can be executed across multiple sites to benefit from access to a wide range of resources and to respond to dynamic runtime requirements. A utility computing provider has the difficult role of ensuring that all current SLAs are provisioned, while concurrently forming new SLAs and providing multiple services to numerous consumers. Scheduling to satisfy SLAs can result in a low return from a provider's resources due to trading off Quality of Service (QoS) guarantees against utilisation. One technique is to employ advanced reservations so that a SLA aware scheduler can properly manage and schedule its resources. To improve utilisation we exploit the principle that some consumers will be more flexible than others in relation to the starting or completion time, and that we can juggle the execution schedule right up until each execution starts. In this paper we present a QoS scheduler that uses SLAs to efficiently schedule advanced reservations for computation services based on their flexibility. We present our SLA and scheduling algorithms, and show experimentally that it is possible to use flexible advanced reservations to meet specified QoS while improving resource utilisation.

Design and evaluation of a flexible Advance bandwidth Reservation Algorithm for media production networks

“…However, they purely focus on data transfers, not video streaming requests, the routing mechanism is based on singlepath in contrary to our multi-path approach and dependency among different transfers is ignored. Flexible advance reservation for cloud resources has also been investigated by [16], [17]. This paper is in line with our previous works on media production network bandwidth reservation approaches.…”

On the Fly Negotiation for Urgent Service Level Agreement on Intercloud Environment

“…Typically, SLAs encode QoS parameters such as resource availability, response time and completion deadlines. The role of the consumer is usually limited to specify their QoS parameters and perhaps revising those parameters if an SLA cannot be agreed (Netto et al, 2010).…”

High occupancy resource allocation for grid and cloud systems, a study with DRIVE

“…In this experiment providers implement a simple First Come First Served scheduling policy. There are better techniques for scheduling reservations, such as backfilling [20], however, FCFS is sufficient to provide comparability for these experiments.…”

“…Reservation aware schedulers have been shown to improve system utilization due to the additional flexibility specified by some consumers, additionally these architectures have realized various reservation aware scheduling algorithms [20].…”