Towards a generic autonomic architecture for legacy resource management

Half a decade has passed since the objectives and benefits of autonomic computing were stated, yet even the latest system designs and deployments exhibit only limited and isolated elements of autonomic functionality. From an autonomic computing standpoint, all computing systems – old, new or under development – are legacy systems, and will continue to be so for some time to come. In this paper, we propose a generic architecture for developing fully-fledged autonomic systems out of legacy, non-autonomic components, and we investigate how existing technologies can be used to implement this architecture

AMUSE: autonomic management of ubiquitous e-Health systems

Future e-Health systems will consist of low-power on-body wireless sensors attached to mobile users that interact with an ubiquitous computing environment to monitor the health and well being of patients in hospitals or at home. Patients or health practitioners have very little technical computing expertise so these systems need to be self-configuring and self-managing with little or no user input. More importantly, they should adapt autonomously to changes resulting from user activity, device failure, and the addition or loss of services. We propose the Self-Managed Cell (SMC) as an architectural pattern for all such types of ubiquitous computing applications and use an e-Health application in which on-body sensors are used to monitor a patient living in their home as an exemplar. We describe the services comprising the SMC and discuss cross-SMC interactions as well as the composition of SMCs into larger structures

A Northbound Interface for Software-based Networks

The current shift from traditional network architectures to software-based solutions is offering new opportunities to allow network functionality to be managed in a flexible way. Substantial efforts have been invested in the recent years in the development of new network management approaches taking advantage of emerging paradigms such as software-defined networking and network function virtualization. Until now however there has not been much progress in the development of a northbound interface (NBI) linking high-level requirements (HLRs) capturing business objectives to management operations. This is a crucial functionality to facilitate faster service deployment and realization of business objectives. In this paper we extend the efforts towards the development of a NBI and propose a novel approach for the automatic decomposition of HLRs to network management operations. We demonstrate its functionality based on representative use cases and evaluate its feasibility through prototype implementation. The results obtained show that our solution can translate new technical requirements to network configurations in the order of a few seconds, thus enabling the management of network functionality and services in short timescales

A Northbound Interface for Software-based Networks

The current shift from traditional network architectures to software-based solutions is offering new opportunities to allow network functionality to be managed in a flexible way. Substantial efforts have been invested in the recent years in the development of new network management approaches taking advantage of emerging paradigms such as software-defined networking and network function virtualization. Until now however there has not been much progress in the development of a northbound interface (NBI) linking high-level requirements (HLRs) capturing business objectives to management operations. This is a crucial functionality to facilitate faster service deployment and realization of business objectives. In this paper we extend the efforts towards the development of a NBI and propose a novel approach for the automatic decomposition of HLRs to network management operations. We demonstrate its functionality based on representative use cases and evaluate its feasibility through prototype implementation. The results obtained show that our solution can translate new technical requirements to network configurations in the order of a few seconds, thus enabling the management of network functionality and services in short timescales

Policy analysis for DiffServ quality of service management

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Policy Refinement for DiffServ Quality Of Service Management

Policy-based management provides the ability to dynamically re-configure DiffServ networks such that desired Quality of Service (QoS) goals are achieved. This includes network provisioning decisions, performing admission control, and adapting bandwidth allocation dynamically. QoS management aims to satisfy the Service Level Agreements (SLAs) contracted by the provider and therefore QoS policies are derived from SLA specifications and the provider’s business goals. This policy refinement is usually performed manually with no means of verifying that the policies written are supported by the network devices and actually achieve the desired QoS goals. Tool support is lacking and policy refinement has rarely been addressed in the literature. This paper extends our previous approach to policy refinement and shows how to apply it to the domain of DiffServ QoS management. We make use of goal elaboration and abductive reasoning to derive strategies that will achieve a given high-level goal. By combining these strategies with events and constraints, we show how policies can be refined, and what tool support can be provided for the refinement process using examples from the QoS management domain. However, the approach presented here can be used in other application domains such as storage area networks or security management

Policy Refinement for DiffServ Quality of Service Management (2006)

Policy-based management provides the ability to dynamically re-configure DiffServ networks such that desired Quality of Service (QoS) goals are achieved. This includes network provisioning decisions, performing admission control, and adapting bandwidth allocation dynamically. QoS management aims to satisfy the Service Level Agreements (SLAs) contracted by the provider and therefore QoS policies are derived from SLA specifications and the provider's business goals. This policy refinement is usually performed manually with no means of verifying that the policies written are supported by the network devices and actually achieve the desired QoS goals. Tool support is lacking and policy refinement has rarely been addressed in the literature. This paper extends our previous approach to policy refinement and shows how to apply it to the domain of DiffServ QoS management. We make use of goal elaboration and abductive reasoning to derive strategies that will achieve a given high-level goal. By combining these strategies with events and constraints, we show how policies can be refined, and what tool support can be provided for the refinement process using examples from the QoS management domain. The approach presented here can be used in other application domains such as storage area networks or security management. © 2006, IEEE. All rights reserved