51,202 research outputs found
MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments
MicroService Architecture (MSA) is gaining rapid popularity for developing
large-scale IoT applications for deployment within distributed and
resource-constrained Fog computing environments. As a cloud-native application
architecture, the true power of microservices comes from their loosely coupled,
independently deployable and scalable nature, enabling distributed placement
and dynamic composition across federated Fog and Cloud clusters. Thus, it is
necessary to develop novel microservice placement algorithms that utilise these
microservice characteristics to improve the performance of the applications.
However, existing Fog computing frameworks lack support for integrating such
placement policies due to their shortcomings in multiple areas, including MSA
application placement and deployment across multi-fog multi-cloud environments,
dynamic microservice composition across multiple distributed clusters,
scalability of the framework, support for deploying heterogeneous microservice
applications, etc. To this end, we design and implement MicroFog, a Fog
computing framework providing a scalable, easy-to-configure control engine that
executes placement algorithms and deploys applications across federated Fog
environments. Furthermore, MicroFog provides a sufficient abstraction over
container orchestration and dynamic microservice composition. The framework is
evaluated using multiple use cases. The results demonstrate that MicroFog is a
scalable, extensible and easy-to-configure framework that can integrate and
evaluate novel placement policies for deploying microservice-based applications
within multi-fog multi-cloud environments. We integrate multiple microservice
placement policies to demonstrate MicroFog's ability to support horizontally
scaled placement, thus reducing the application service response time up to
54%
Cloud service localisation
The essence of cloud computing is the provision of software
and hardware services to a range of users in dierent locations. The aim of cloud service localisation is to facilitate the internationalisation and localisation of cloud services by allowing their adaption to dierent locales.
We address the lingual localisation by providing service-level language translation techniques to adopt services to dierent languages and regulatory localisation by providing standards-based mappings to achieve regulatory compliance with regionally varying laws, standards and regulations. The aim is to support and enforce the explicit modelling of
aspects particularly relevant to localisation and runtime support consisting of tools and middleware services to automating the deployment based on models of locales, driven by the two localisation dimensions.
We focus here on an ontology-based conceptual information model that integrates locale specication in a coherent way
Flexible coordination techniques for dynamic cloud service collaboration
The provision of individual, but also composed services is central in cloud service provisioning. We describe a framework for the coordination of cloud services, based on a tupleāspace architecture which uses an ontology to describe the services. Current techniques for service collaboration offer limited scope for flexibility. They are based on statically describing and compositing services. With the open nature of the web and cloud services, the need for a more flexible, dynamic approach to service coordination becomes evident. In order to support open communities of service providers, there should be the option for these providers to offer and withdraw their services to/from the community. For this to be realised, there needs to be a degree of selfāorganisation. Our techniques for coordination and service matching aim to achieve this through matching goalāoriented service requests with providers that advertise their offerings dynamically. Scalability of the solution is a particular concern that will be evaluated in detail
Ontology-based composition and matching for dynamic cloud service coordination
Recent cross-organisational software service offerings, such as cloud computing, create higher integration needs.
In particular, services are combined through brokers and mediators, solutions to allow individual services to collaborate and their interaction to be coordinated are required. The need to address dynamic management - caused by cloud and on-demand environments - can be addressed through service coordination based on ontology-based composition and matching techniques. Our solution to composition and matching utilises a service coordination space that acts as a passive infrastructure for collaboration where users submit requests that are then selected and taken on by providers. We discuss the information models and the coordination principles of such a collaboration environment in terms of an ontology and its underlying description logics. We provide ontology-based solutions for structural composition of descriptions and matching between requested and provided services
Taming the cloud: Safety, certification and compliance for software services - Keynote at the Workshop on Engineering Service-Oriented Applications (WESOA) 2011
The maturity of IT processes, such as software development, can be and is often certified. Current trends in the IT industry suggest that software systems in the future will be very different from their counterparts today, with an increasing adoption of the Service-Oriented Architecture (SOA) design pattern and the deployment of Software-as-a-Service (SaaS) on Cloud infrastructures. In this talk we discuss some issues surrounding engineering Software Services for Cloud infrastructures and highlight the need for enhanced control, service-level agreement and compliance mechanisms for Software Services. Cloud Infrastructures and Service Mash-ups
Microservice Transition and its Granularity Problem: A Systematic Mapping Study
Microservices have gained wide recognition and acceptance in software
industries as an emerging architectural style for autonomic, scalable, and more
reliable computing. The transition to microservices has been highly motivated
by the need for better alignment of technical design decisions with improving
value potentials of architectures. Despite microservices' popularity, research
still lacks disciplined understanding of transition and consensus on the
principles and activities underlying "micro-ing" architectures. In this paper,
we report on a systematic mapping study that consolidates various views,
approaches and activities that commonly assist in the transition to
microservices. The study aims to provide a better understanding of the
transition; it also contributes a working definition of the transition and
technical activities underlying it. We term the transition and technical
activities leading to microservice architectures as microservitization. We then
shed light on a fundamental problem of microservitization: microservice
granularity and reasoning about its adaptation as first-class entities. This
study reviews state-of-the-art and -practice related to reasoning about
microservice granularity; it reviews modelling approaches, aspects considered,
guidelines and processes used to reason about microservice granularity. This
study identifies opportunities for future research and development related to
reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table
A look at cloud architecture interoperability through standards
Enabling cloud infrastructures to evolve into a transparent platform while preserving integrity raises interoperability issues. How components are connected needs to be addressed. Interoperability requires standard data models and communication encoding technologies compatible with the existing Internet infrastructure. To reduce vendor lock-in situations, cloud computing must implement universal strategies regarding standards, interoperability and portability. Open standards are of critical importance and need to be embedded into interoperability solutions. Interoperability is determined at the data level as well as the service level. Corresponding modelling standards and integration solutions shall be analysed
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