Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Geo-distributed"”.
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Power-Demand Routing in massive geo-distributed systems
There is an increasing trend toward massive, geographically distributed systems. The largest Internet companies operate hundreds of thousands of servers in multiple geographic locations, and are growing at a fast clip. A single system's servers and data centers can consume many megawatts of …
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A Holistic Approach to Lowering Latency in Geo-distributed Web Applications
… While many novel approaches like SPDY and geo-replicated datastores have been developed to improve their performance, many of these solutions are specific to certain layers, and may have different impact on user-perceived performance.</p> <p>The primary goal of this thesis is to address the …
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Optimizing Timeliness, Accuracy, and Cost in Geo-Distributed Data-Intensive Computing Systems
… all of the data. Instead, applications require distributed systems comprising many machines working in concert. Adding to the challenge, many data streams originate from geographically distributed sources. Scientific sensors such as LIGO span multiple sites and generate data too massive to …
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Sandooq: improving the communication cost and service latency for a multi-user erasure-coded geo-distributed cloud environment
… 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 are also increasingly using erasure codes to improve the reliability at a much lower storage cost. In addition to reliability, …
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Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges
In the event of natural or man-made disasters, geospatial video analytics is valuable to provide situational awareness that can be extremely helpful for first responders. However, geospatial video analytics demands massive imagery/video data 'collection' from Internet-of-Things (IoT) and their …
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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 …
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A lazy directory-based implementation of consistent replicated storage
… from cache coherence in multiprocessors and distributed shared memory. The two datastores are implemented and evaluated against the Apache Cassandra distributed datastore in a simulated geo-distributed envi- ronment with workloads generated by the Yahoo! Cloud Serving Benchmark. We find that …
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Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
… In this paper, we introduce Armada: a densely-distributed edge cloud infrastructure that explores the use of dedicated and volunteer resources to serve geo-distributed users in heterogeneous environments. We describe the lightweight Armada architecture and optimization techniques including …
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Satisfying strong application requirements in data-intensive cloud computing environments
… that performs well when replicated across geo-distributed data centers. Natjam ensures that time-critical Hadoop jobs immediately receive cluster resources even when less important jobs are already running. For each of these systems, we designed new algorithms and techniques aimed at making …
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Access Control and Storage of Distributed IoT Data
… computers. Most of these NoSQL databases are distributed in several different locations, spanning countries and are known as geo-distributed cloud datastores. We work to customize one of these known as Cassandra. Given the size of the database and the size of applications accessing the data …
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Network flow optimization for distributed clouds
… centers for their back-end support, are often geo-distributed and typically have stringent performance constraints. The interconnecting networks, within and across data centers, are critical in determining these applications' performance. Data centers can be viewed as composed of three layers: …
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Modelling orchestration
… across many thousands of nodes and multiple geo-distributed sites. Orchestrators are the platforms designed to automate this management and standardise the workflows involved. The significant uptake of modern orchestrators means that they have expanded their scope out of private datacenters, …
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Functional programming abstractions for weakly consistent systems
… coherence deters scalable strong consistency. In geo-distributed compute clouds, the availability concerns in the presence of partial failures prohibit strong consistency. Hence, modern multicore and cloud computing platforms eschew strong consistency in favor of weakly consistent memory, where …
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Latency-bandwidth tradeoffs in Internet applications
… supporting analytics over the large volumes of geographically dispersed data produced by global-scale organizations. Current solutions for analyzing this data as a whole operate by copying it to a single central data center, an approach that incurs substantial data transfer costs. We instead …
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Building interactive distributed processing applications at a global scale
… and b) the data motion across the distributed locations. However, handling the distribution while meeting latency guarantees at large scale comes with many challenges around hiding heterogeneity and diversity of devices and workload, handling dynamism in the environment, providing …
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Energy-aware workload management for geographically distributed data centers
… high cloud operating costs through intelligent geographical workload distribution. However, neglecting essential considerations such as data center cooling power, interference effects from workload co-location in servers, net-metering, peak demand pricing of electricity, data transfer costs, and …