The booming popularity of online services has led to a major evolution in the way these services are built and deployed. To cope with such online data-intensive services, service providers deploy several massive-scale datacenters, also referred to as wareh ...
Cloud platform services must simultaneously be scalable, meet low tail latency service-level objectives, and be resilient to a combination of software, hardware, and network failures. Replication plays a fundamental role in meeting both the scalability and ...
A major theme of IT in the past decade has been the shift from on-premise hardware to cloud computing. Running a service in the public cloud is practical, because a large number of resources can be bought on-demand, but this shift comes with its own set of ...
Deliveringeducationandeducationalresourceshasevolvedfromclass- centered settings towards distributed, cloud-based models. This is mainly the con- sequence of publicly available educational resources such as documents, videos, and web applications. At the s ...
Service is a concept that separates the concerns of an organization into (1) the value created for users and (2) the way the organization manages its resources to provide this value. The discipline of management of information technology (IT) uses services ...
Different than the conventional queueing systems, in spatial queueing systems (SQS) the service rate for each customer-server pairs differs and the server that intervenes for a specific customer is not known a priori, depending on the availability of serve ...
Pergamon-Elsevier Science Ltd2015
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User-facing, latency-sensitive services, such as web-search, underutilize their computing resources during daily periods of low traffic. Reusing those resources for other tasks is rarely done in production services since the contention for shared resources ...
Micro-Electrode Arrays (MEAs) have emerged as a mature technique to investigate brain (dys)functions in vivo and in in vitro animal models. Often referred to as "smart" Petri dishes, MEAs have demonstrated a great potential particularly for medium-throughp ...
The computing platform (OSMOSELua) has been developed in the Industrial Process and Energy Systems Engineering group IPESE at EPFL as a flexible and robust tool for the design of complex integrated energy systems. The decision tool has been developed using ...
With its real-time capabilities, stream processing is popular for applications like anomaly detection for residential gateways and analytics for business intelligence. Just as other areas of computing, there has been an inevitable trend to shift stream pro ...