Data center services

Abstract: The data centers used to create cloud services represent a significant investment in capital outlay and ongoing costs. Accordingly, we first examine the costs of cloud service data centers today. The cost breakdown reveals the importance of optimizing work completed per dollar invested. Unfortunately, the resources inside the data centers often operate at low utilization due to resource stranding and fragmentation. To attack this first problem, we propose (1) increasing network agility, and (2) providing appropriate incentives to shape resource consumption. Second, we note that cloud service providers are building out geo-distributed networks of data centers. Geo-diversity lowers latency to users and increases reliability in the presence of an outage taking out an entire site. However, without appropriate design and management, these geo-diverse data center networks can raise the cost of providing service. Moreover, leveraging geo-diversity requires services be designed to benefit from it. To attack this problem, we propose (1) joint optimization of network and data center resources, and (2) new systems and mechanisms for geo-distributing state.

Abstract: With the growth of data volumes and variety of Internet applications, data centers (DCs) have become an efficient and promising infrastructure for supporting data storage, and providing the platform for the deployment of diversified network services and applications (e.g., video streaming, cloud computing). These applications and services often impose multifarious resource demands (storage, compute power, bandwidth, latency) on the underlying infrastructure. Existing data center architectures lack the flexibility to effectively support these applications, which results in poor support of QoS, deployability, manageability, and defence against security attacks. Data center network virtualization is a promising solution to address these problems. Virtualized data centers are envisioned to provide better management flexibility, lower cost, scalability, better resources utilization, and energy efficiency. In this paper, we present a survey of the current state-of-the-art in data center networks virtualization, and provide a detailed comparison of the surveyed proposals. We discuss the key research challenges for future research and point out some potential directions for tackling the problems related to data center design.

Abstract: A system for automatically dispensing information, goods and services to a customer on a self-service basis including a central data processing center in which information on services offered by various institutions in a particular industry is stored. One or more self-service information and sales terminals are remotely linked to the central data processing center and are programmed to gather information from prospective customers on goods and services desired, to transmit to customers information on the desired goods or services from the central data processing center, to take orders for goods or services from customers and transmit them for processing to the central data processing center, to accept payment, and to deliver goods or services in the form of documents to the customer when orders are completed. The central data processing center is also remotely linked to terminals of the various institutions serviced by the system, so that each institution can be kept up-dated on completed sales of services offered by that institution.

Abstract: In a multimedia call center (MMCC) supporting multiple channels and forms of communication and storing call center transactions in a data repository (263), a threading software application has a programming input for a user to enter association criteria, an access function that accesses at least stored data in the data repository, a search function (265) that searches accessed data for association criteria, and notes those data entities that meet the association criteria; and a display function (269) that displays at least indicators of data entities meeting the association criteria. The threading application serves as a research tool for mining data repositories (263) of the call center for information pertinent to business goals of the enterprise hosting the call center. In some embodiments the application is capable of associating transactions occuring real time as well as stored data.