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Showing 1 to 3 of 3 for “"geo-distributed data centers"”.

  1. Satisfying strong application requirements in data-intensive cloud computing environments

    In today's data-intensive cloud systems, there is a tension between resource limitations and strict requirements. In an effort to scale up in the cloud, many systems today have unfortunately forced users to relax their requirements. However, users still have to deal with constraints, such as strict …

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  2. Sandooq: improving the communication cost and service latency for a multi-user erasure-coded geo-distributed cloud environment

    Modern data centers have to accommodate the storage of an increasing amount of data with multiple users accessing that data from all over the world. Most of these data centers are geo-distributed to improve availability and protect against the loss of data in the case of outages and disasters. They …

    uiuc Repository record for Sandooq: improving the communication cost and service latency for a multi-user erasure-coded geo-distributed cloud environment (opens in a new tab)

  3. Exploiting cost-performance tradeoffs for modern cloud systems

    … (2) virtualization, and (3) computation. A distributed key-value storage system must choose between the cost of keeping replicas synchronized (consistency) and performance (latency) or read/write operations. A cloud-based disaster recovery system can reduce the cost of managing a group of …

    uiuc Repository record for Exploiting cost-performance tradeoffs for modern cloud systems (opens in a new tab)