Autonomous Resource Consolidation Management in Clouds Using IMPROMPTU Extensions

Abstract

This paper focuses on the problem of resource consolidation management within cloud computing environments and extends our previous IMPROMPTU model which demonstrated the viability of distributed Multiple Criteria Decision Analysis (MCDA) to provide a resource consolidation management that simultaneously achieves lower numbers of reconfiguration events and fewer service level agreement (SLA) violations as compared to other approaches. A core limitation of our previous work was that it only assessed the PROMETHEE II outrankingbased MCDA method, leaving open the question of whether better outranking schemes exist and, more generally, what denotes the properties of good outranking approaches for this problem domain. This work addresses these deficiencies through extending the IMPROMPTU model to directly compare PROMETHEE II with ELECRE III and PAMSSEM II, two other well-known outranking-based MCDA schemes. An in-depth analysis of the generated simulation results are then used to highlight the core trade-offs between each of these MCDA approaches.

Combinatorial design of the MAUT and PAMSSEM II methods for multiple attributes group decision making with probabilistic linguistic information

“…The PAMSSEM methods were introduced by Martel (1998) and is applied to cloud resource integration management (Yazir et al 2012). The PAMSSEM method includes stages I and II.…”

Optimized Service Level Agreement Establishment in Cloud Computing

“…Such solution may also update the best one found so far (lines [13][14]. Otherwise, there is a chance to accept a worse neighbouring solution s as current one, based on ∆ and T values by following expression e −∆/T (lines [17][18][19][20]. This likelihood is larger during high temperature T , which decrease using the cooling…”

“…Finally, multi-criteria, as the name suggests, is an approach that allows the analysis of multiple criteria or situations in a problem [17]. Solutions for the resource provisioning problem based on multi-criteria tend to be decentralized, analysing each early criteria or situation independently [18] [19]. This approach suffers from the same problem of optimization due to its complexity.…”

A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem

“…Multi-criteria solutions to the resource provisioning problem tend to be decentralized, i.e., evaluating each criteria or situation independently. Reference [36], focuses on the problem of resource management, where the task selection was modeled as a multi-criteria decision making problem. They utilised the IMPROMPTU model for distributed Multiple Criteria Decision Analysis (MCDA), this model distributes the responsibility of resources among 3 autonomous node, (1) one to monitor, (2) one to register undesirable situations, and (3) another one to ensure that the desirable condition on a physical machine is restored.…”