31,183 research outputs found
Edge-as-a-Service: Towards Distributed Cloud Architectures
We present an Edge-as-a-Service (EaaS) platform for realising distributed
cloud architectures and integrating the edge of the network in the computing
ecosystem. The EaaS platform is underpinned by (i) a lightweight discovery
protocol that identifies edge nodes and make them publicly accessible in a
computing environment, and (ii) a scalable resource provisioning mechanism for
offloading workloads from the cloud on to the edge for servicing multiple user
requests. We validate the feasibility of EaaS on an online game use-case to
highlight the improvement in the QoS of the application hosted on our
cloud-edge platform. On this platform we demonstrate (i) low overheads of less
than 6%, (ii) reduced data traffic to the cloud by up to 95% and (iii)
minimised application latency between 40%-60%.Comment: 10 pages; presented at the EdgeComp Symposium 2017; will appear in
Proceedings of the International Conference on Parallel Computing, 201
A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing
Edge computing is promoted to meet increasing performance needs of
data-driven services using computational and storage resources close to the end
devices, at the edge of the current network. To achieve higher performance in
this new paradigm one has to consider how to combine the efficiency of resource
usage at all three layers of architecture: end devices, edge devices, and the
cloud. While cloud capacity is elastically extendable, end devices and edge
devices are to various degrees resource-constrained. Hence, an efficient
resource management is essential to make edge computing a reality. In this
work, we first present terminology and architectures to characterize current
works within the field of edge computing. Then, we review a wide range of
recent articles and categorize relevant aspects in terms of 4 perspectives:
resource type, resource management objective, resource location, and resource
use. This taxonomy and the ensuing analysis is used to identify some gaps in
the existing research. Among several research gaps, we found that research is
less prevalent on data, storage, and energy as a resource, and less extensive
towards the estimation, discovery and sharing objectives. As for resource
types, the most well-studied resources are computation and communication
resources. Our analysis shows that resource management at the edge requires a
deeper understanding of how methods applied at different levels and geared
towards different resource types interact. Specifically, the impact of mobility
and collaboration schemes requiring incentives are expected to be different in
edge architectures compared to the classic cloud solutions. Finally, we find
that fewer works are dedicated to the study of non-functional properties or to
quantifying the footprint of resource management techniques, including
edge-specific means of migrating data and services.Comment: Accepted in the Special Issue Mobile Edge Computing of the Wireless
Communications and Mobile Computing journa
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
CYCLONE Unified Deployment and Management of Federated, Multi-Cloud Applications
Various Cloud layers have to work in concert in order to manage and deploy
complex multi-cloud applications, executing sophisticated workflows for Cloud
resource deployment, activation, adjustment, interaction, and monitoring. While
there are ample solutions for managing individual Cloud aspects (e.g. network
controllers, deployment tools, and application security software), there are no
well-integrated suites for managing an entire multi cloud environment with
multiple providers and deployment models. This paper presents the CYCLONE
architecture that integrates a number of existing solutions to create an open,
unified, holistic Cloud management platform for multi-cloud applications,
tailored to the needs of research organizations and SMEs. It discusses major
challenges in providing a network and security infrastructure for the
Intercloud and concludes with the demonstration how the architecture is
implemented in a real life bioinformatics use case
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