. This leaves the door open for other attacks that use more sophisticated methods to mask their traffic. We propose an architecture called Secure Overlay Services (SOS) that proactively prevents DoS attacks, geared toward supporting Emergency Services or similar types of communication. The architecture

of the sampling rate. This behavior may be attributed to uncertainty in the sampling instant due to aperture jitter. For ADC’s operating at multi-Gs/s rates, the speed of the device technology is also a limiting factor due to comparator ambiguity. Many ADC architectures and integrated circuit technologies have

the research community has recently embarked. Manifesting itself as the descendant of several other computing research areas such as Service-Oriented Architecture, distributed and grid computing, and virtualization, cloud computing inherits their advancements and limitations. Towards the end-goal of a thorough

of data operation, such as block modification, insertion and deletion, is also a significant step toward practicality, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public

-nothing MPP architecture, often in a virtualized environment inside public or private “clouds”. At the same time, the amount of data that needs to be analyzed is exploding, requiring hundreds to thousands of machines to work in parallel to perform the analysis. There tend to be two schools of thought

Using more than 12,000 servers in over 1,000 networks, Akamai’s distributed content delivery system fights service bottlenecks and shutdowns by delivering content from the Internet’s edge. As Web sites become popular,they’re increasingly vulnerable tothe flash crowd problem, in which request load

Abstract — Cloud computing systems provide large-scale infrastructures for high-performance computing that are “elastic ” since they are able to adapt to user and application needs. Clouds are used through a service-oriented interface that implements the *-as-a-service paradigm to offer Cloud

, and Microsoft. Community Cloud Computing makes use of the principles of Digital Ecosystems to provide a paradigm for Clouds in the community, offering an alternative architecture for the use cases of Cloud Computing. It is more technically challenging to deal with issues of distributed computing

in terms of size and flexibility, containers are specifically relevant for platform concerns typically dealt with Platform-as-a-Service (PaaS) clouds such as application packaging and orchestration. For the edge cloud environment, application and service orchestration can help to manage and orchestrate

with authentic performance and user experience, a distributed system model and architecture is required, suitable to run as a cloud service, allowing for the specialization both of memory institutions and third party service providers. The shift of the usually non-trivial task of the emulation of obsolete