Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach

Cloud environments can provide virtualized, elastic, controllable and high quality on-demand services for supporting complex distributed applications. However, the engineering methods and software tools used for developing, deploying and executing classical time critical applications do not, as yet, account for the programmability and controllability provided by clouds, and so time critical applications cannot yet benefit from the full potential of cloud technology. This paper reviews the state of the art of technologies involved in developing time critical cloud applications, and presents the approach of a recently funded EU H2020 project: the Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications (SWITCH). SWITCH aims to improve the existing development and execution model of time critical applications by introducing a novel conceptual model—the application-infrastructure co-programming and control model—in which application QoS and QoE, together with the programmability and controllability of cloud environments, is included in the complete application lifecycle

Management and Service-aware Networking Architectures (MANA) for Future Internet Position Paper: System Functions, Capabilities and Requirements

Future Internet (FI) research and development threads have recently been gaining momentum all over the world and as such the international race to create a new generation Internet is in full swing: GENI, Asia Future Internet, Future Internet Forum Korea, European Union Future Internet Assembly (FIA). This is a position paper identifying the research orientation with a time horizon of 10 years, together with the key challenges for the capabilities in the Management and Service-aware Networking Architectures (MANA) part of the Future Internet (FI) allowing for parallel and federated Internet(s)

Next Generation Cloud Computing: New Trends and Research Directions

The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving. In this paper, we firstly discuss the changing cloud infrastructure and consider the use of infrastructure from multiple providers and the benefit of decentralising computing away from data centers. These trends have resulted in the need for a variety of new computing architectures that will be offered by future cloud infrastructure. These architectures are anticipated to impact areas, such as connecting people and devices, data-intensive computing, the service space and self-learning systems. Finally, we lay out a roadmap of challenges that will need to be addressed for realising the potential of next generation cloud systems.Comment: Accepted to Future Generation Computer Systems, 07 September 201

A Monitoring Infrastructure for the Quality Assessment of Cloud Services

Service Level Agreements (SLAs) specify the strict terms under which cloud services must be provided. The assessment of the quality of services being provided is critical for both clients and service providers. In this context, stakeholders must be capable of monitoring services delivered as Software as a Service (SaaS) at runtime and of reporting any eventual non-compliance with SLAs in a comprehensive and flexible manner. In this paper, we present the definition of an SLA compliance monitoring infrastructure, which is based on the use of [email protected], its main components and artifacts, and the interactions among them. We place emphasis on the configuration of the artifacts that will enable the monitoring, and we present a prototype that can be used to perform this monitoring. The feasibility of our proposal is illustrated by means of a case study, which shows the use of the components and artifacts in the infrastructure and the configuration of a specific plan with which to monitor the services deployed on the Microsoft Azure© platform

Contextualised security operation deployment through [email protected] architecture

International audienceThe fast development of Cloud-based services and applications have a significant impact on Service Oriented Computing as it provides an efficient support to share data and processes. The de-perimeterised vision involved by these Intelligent Service Clouds lead to new security challenges: providing a consistent protection depending on the business environment conditions and on the deployment platform specific threats and vulnerabilities. To fit this context aware protection deployment challenge, we propose a [email protected] architecture, coupling Model Driven Security (MDS) and [email protected] approaches. By this way, security policies (that can be generated via a MDS process) are interpreted at runtime by a security mediator depending on the context. This proposition is illustrated thanks to a proof of concept prototype plugged on top of the FraSCAti middleware

Mobile Agent Based Cloud Computing

Cloud Computing is becoming a revolutionizing computing paradigm. It offers various types of services and applications that are being delivered in the internet cloud. The services aim at providing reliable, fault tolerant dynamic computing environment to the user and offers computing resources as per demand. Skype, Dropbox, and Yahoo mail are some of the cloud services that have major impact in our lives. Several measures are taken to maintain the quality of its service in the cloud and to make IT infrastructure available with low cost. This paper presents various aspects of Cloud Computing, its implementation features, challenges and also explores the potential scope for research. The major section of this paper includes surveys of studies related to the possibilities of integrating Mobile Agents in Cloud Computing, since these technologies appear to be promising and marketable. Thus, the paper focuses on resolving challenges and bolstering services of Cloud Computing by utilizing Mobile Agent technology in various aspects of Cloud Computing