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Fog computing is mainly proposed for IoT applications that are geospatially distributed, large-scale, and latency sensitive. This poses new research challenges in real-time and scalable provisioning of IoT services distributed across Fog-Cloud computing platforms. Data-centric IoT services, as a dominant type of IoT services in large-scale deployments, require design solutions to speed up data processing...
New generations of cloud applications are increasingly complex and pose lower latency requirements. e la er is forcing the industry to reduce network latency by adding computation nodes near the edge of the network, also known as Fog Computing. To utilize the Fog nodes efficiently, the dynamic placement and migration of application components must be supported. To this end, a Fog- aware application...
With the introduction of various hardware/software technologies such as Cloud Technologies or Virtualization technologies, there has been a great potential to reuse ICT resources. These technologies also provide various advantages including resource consumption reduction (in the use phase only or in the whole life cycle). In addition, there are additional potentials regarding the resource opacity...
Cloud computing platforms are increasingly deploying multi-processors that are heterogeneous in the resource capacities or functionality of their processors (Instruction Set Architecture, or ISA). ISA heterogeneity (e.g., CPU vs GPU) or administrative policies can additionally create placement constraints whereby certain threads may only execute on a subset of the available cores. Fair CPU scheduling...
Aiming to keep under control a particular system or environment or to ensure that it works as expected there is a need to know what-when-why happens there. Various conditions and environmental factors can lead to errors, unexpected behavior or loss of control. To pursue these factors manually is time consuming, error prone, slow and usually quite expensive. Monitoring is quite complex and challenging...
We consider a cloud-based control framework in which individual clients own their local plants that must be controlled by a public authority. Individual clients desire to keep the local state information as private as possible, as long as the cloud-based controller can provide a given level of quality of service. Based on an axiomatic argument, we show that Kramer's notion of causally conditioned...
Nowadays, we can talk about the Internet of Things (IoT) and Cloud computing union to indicate a new generation of distributed system. An IoT-Cloud system mainly consists of a set of smart objects which are interconnected through the Internet with a remote Cloud infrastructure, platform, or software. It allows to achieve new benefits in several contexts, such as smart cities and industrial businesses...
Developing applications with intelligent context access capabilities is challenged by the difficulty of obtaining advanced context information. The complexity of the logic required for processing context information adds another barrier for developing advanced context-aware applications. In this research paper, we propose a solution that allows context information sharing and extension toward the...
The development of Fog Computing technology is crucial to address the challenges to come with the mass adoption of Internet Of Things technology, where the generation of data tends to grow at an unprecedented pace. The technology brings computing power to the surrounds of devices, to offer local processing, filtering, storage and analysis of data and control over actuators. Orchestration is a requirement...
It is not uncommon today that sensor devices connected to the Internet solely send their data to Cloud-based servers for storage and processing. This does not only mean clients requesting data have to contact the Cloud-based service, even if the data is available in the local network, but also that data is sent to external services with unknown or ambiguous privacy policies. The great potential in...
Due to the number of cloud providers, as well as the extensive collection of services, cloud computing provides very flexible environments, where resources and services can be provisioned and released on demand. However, reconfiguration and adaptation mechanisms in cloud environments are very heterogeneous and often exhibit complex constraints. For example, when reconfiguring a cloud system, a set...
The evolution of the economy, competition, development of new technologies and globalization explain the blooming of inter-organizations cooperation. The interorganizations cooperation represents a new opportunity to answer to complex challenges that a single organization can't face alone. Cloud Computing is an emerging computation paradigm in information technology and networking. Most recently business...
Data management applications deployed on IaaS cloud environments must simultaneously strive to minimize cost and provide good performance. Balancing these two goals requires complex decision-making across a number of axes: resource provisioning, query placement, and query scheduling. While previous works have addressed each axis in isolation for specific types of performance goals, this demonstration...
Many governments are increasingly reliant on externalservice providers to process, store or transmit sensitivedata on behalf of the government. This study is motivated by the problem of preserving the confidentiality of sensitive government data, particularly following Edward Snowden's revelations of alleged pervasive surveillance, a problem posed by foreign intelligence services to the Indonesian...
Testing as a Service (TaaS) is a new business and service model that provides efficient and effective software quality assurance and enables the use of a cloud for the meeting of quality standards, requirements and consumer's needs. However, problems that limit the effective use of TaaS involve lack of standardization in writing, execution, configuration and management of tests and lack of portability...
Cloud computing conveys the image of a pool of unlimited virtual resources that can be quickly and easily provisioned to accommodate the user requirements. However, this flexibility may require to adjust physical resources at the infrastructure level to keep the pace of user requests. While elasticity can be considered as the de facto solution to support this issue, this elasticity can still be broken...
Recent advances in sensor technologies and instrumentation have led to an extraordinary growth of data sources and streaming applications. A wide variety of devices, from smart phones to dedicated sensors, have the capability of collecting and streaming data at unprecedented rates. Typical applications include smart cities & built environments for instance, where sensor-based infrastructures continue...
Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the capacity during peak utilization), has made significant impact especially for big data analytics, where the explosion of data sizes and increasingly complex computations frequently leads to insufficient local data center capacity. Cloud bursting however introduces a major challenge to runtime systems due to the...
ith the wide deployment of various kinds of sensors in fixed infrastructures and in mobile devices, technologies and applications of crowd-sensing has drawn attentions in the fields of mobile computing. This paper studies the design of frameworks for crowd-sensing process in a distributed environment. We discuss the realization of the compatibilities of devices and services, as well as the algorithms...
At the current time, there are several fundamental changes in the way computing systems are being developed, deployed and used. They are becoming increasingly large, heterogeneous, uncertain, dynamic and decentralised. These complexities lead to behaviours during run time that are difficult to understand or predict. One vision for how to rise to this challenge is to endow computing systems with increased...
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