270,812 research outputs found
Evolution Oriented Monitoring oriented to Security Properties for Cloud Applications
Internet is changing from an information space to a dynamic computing
space. Data distribution and remotely accessible software
services, dynamism, and autonomy are prime attributes. Cloud technology
offers a powerful and fast growing approach to the provision
of infrastructure (platform and software services) avoiding the high
costs of owning, operating, and maintaining the computational
infrastructures required for this purpose. Nevertheless, cloud technology
still raises concerns regarding security, privacy, governance,
and compliance of data and software services offered through it.
Concerns are due to the difficulty to verify security properties of
the different types of applications and services available through
cloud technology, the uncertainty of their owners and users about
the security of their services, and the applications based on them,
once they are deployed and offered through a cloud. This work
presents an innovative and novel evolution-oriented, cloud-specific
monitoring model (including an architecture and a language) that
aim at helping cloud application developers to design and monitor
the behavior and functionality of their applications in a cloud
environment.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
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A survey of intrusion detection techniques in Cloud
Cloud computing provides scalable, virtualized on-demand services to the end users with greater flexibility and lesser infrastructural investment. These services are provided over the Internet using known networking protocols, standards and formats under the supervision of different managements. Existing bugs and vulnerabilities in underlying technologies and legacy protocols tend to open doors for intrusion. This paper, surveys different intrusions affecting availability, confidentiality and integrity of Cloud resources and services. It examines proposals incorporating Intrusion Detection Systems (IDS) in Cloud and discusses various types and techniques of IDS and Intrusion Prevention Systems (IPS), and recommends IDS/IPS positioning in Cloud architecture to achieve desired security in the next generation networks
Task Scheduling on the Cloud with Hard Constraints
Scheduling Bag-of-Tasks (BoT) applications on the cloud can be more
challenging than grid and cluster environ- ments. This is because a user may
have a budgetary constraint or a deadline for executing the BoT application in
order to keep the overall execution costs low. The research in this paper is
motivated to investigate task scheduling on the cloud, given two hard
constraints based on a user-defined budget and a deadline. A heuristic
algorithm is proposed and implemented to satisfy the hard constraints for
executing the BoT application in a cost effective manner. The proposed
algorithm is evaluated using four scenarios that are based on the trade-off
between performance and the cost of using different cloud resource types. The
experimental evaluation confirms the feasibility of the algorithm in satisfying
the constraints. The key observation is that multiple resource types can be a
better alternative to using a single type of resource.Comment: Visionary Track of the IEEE 11th World Congress on Services (IEEE
SERVICES 2015
Electronic Discovery in the Cloud
Cloud Computing is poised to offer tremendous benefits to clients, including inexpensive access to seemingly limitless resources that are available instantly, anywhere. To prepare for the shift from computing environments dependent on dedicated hardware to Cloud Computing, the Federal Rules of Discovery should be amended to provide relevant guidelines and exceptions for particular types of shared data. Meanwhile, clients should ensure that service contracts with Cloud providers include safeguards against inadvertent discoveries and mechanisms for complying with the Rules. Without these adaptations, clients will be either reluctant or unprepared to adopt Cloud Computing services, and forgo their benefits
GNFC: Towards Network Function Cloudification
An increasing demand is seen from enterprises to host and dynamically manage middlebox services in public clouds in order to leverage the same benefits that network functions provide in traditional, in-house deployments. However, today's public clouds provide only a limited view and programmability for tenants that challenges flexible deployment of transparent, software-defined network functions. Moreover, current virtual network functions can't take full advantage of a virtualized cloud environment, limiting scalability and fault tolerance. In this paper we review and evaluate the current infrastructural limitations imposed by public cloud providers and present the design and implementation of GNFC, a cloud-based Network Function Virtualization (NFV) framework that gives tenants the ability to transparently attach stateless, container-based network functions to their services hosted in public clouds. We evaluate the proposed system over three public cloud providers (Amazon EC2, Microsoft Azure and Google Compute Engine) and show the effects on end-to-end latency and throughput using various instance types for NFV hosts
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