A Cloud-Oriented Services Self-Management Approach Based on Multi-agent System Technique

Residue Based Adaptive Resource Provisioning through Multi-Criteria Decision and Horizontal Scaling

“…In [28] the authors proposed a middleware in cloud federation which uses a specific criterion that manages heterogeneous cloud networks wherein any cloud provider can join or leave on collaboration services and discussed specific issues which result in managing the inter-cloud environment [36] for providing an efficient solution in maintaining trust among cloud providers in satisfying cloud customers. In [29] autonomous management of cloud services is achieved based on the context of cloud consumers request satisfaction. The self-organization approach of cloud brokers is tested for different configuration settings and management of cloud provider in delivering resources at the appropriate time without violating SLA agreement among cloud providers and consumers.…”

AMACE: agent based multi-criterions adaptation in cloud environment

“…Few works like: Andronico et al [20], Hou et al [21] and De Meo et al [22] take into account openness features in clouds federation. In [20] work authors include in the federation different cloud middleware, providing a concrete model that looks at heterogeneous cloud systems.…”

“…The model targets small cloud operators allowing them to easily join and leave the federation. In [21] they present a self-management approach for the cloud services with an autonomous and context-aware management of the resources by employing a number of service agents in the cloud environment. Based on this approach, they present a cloud-oriented services self-management framework with suitable mechanisms for service aggregations and service provisions.…”

“…In order to enhance the rate of requests satisfaction and reduce unallocated resources situations, the grid formation algorithm ensures a balance function between offer and demand of resources. Although approaches [21,22] provided good results, they stay limited to a fixed number of criteria: in [21] the service manager considers an optimization and a balance method and in [22], reorganization depends on the result of the combination between trust and historical behaviors into a unified convenience measure. It stays insufficient for a large coverage of all the system's sides such as: the quality of service "time response", computing the load balance "workload parameter", the geographical location or distance "network delay" between the costumer and provider…etc.…”