Decentralized Management of Bi-modal Network Resources in a Distributed Stream Processing Platform
Shah Asaduzzaman, Muthucumaru Maheswaran

TL;DR
This paper introduces decentralized resource management techniques for a distributed stream processing platform that leverages both dedicated and opportunistic network connections to optimize throughput and resource utilization.
Contribution
It extends bi-modal resource organization to communication management and proposes decentralized algorithms for task mapping and adaptive link re-allocation.
Findings
Algorithms effectively exploit bi-modal links for higher throughput.
Decentralized management improves resource utilization.
System adapts to capacity variations of opportunistic links.
Abstract
This paper presents resource management techniques for allocating communication and computational resources in a distributed stream processing platform. The platform is designed to exploit the synergy of two classes of network connections -- dedicated and opportunistic. Previous studies we conducted have demonstrated the benefits of such bi-modal resource organization that combines small pools of dedicated computers with a very large pool of opportunistic computing capacities of idle computers to serve high throughput computing applications. This paper extends the idea of bi-modal resource organization into the management of communication resources. Since distributed stream processing applications demand large volume of data transmission between processing sites at a consistent rate, adequate control over the network resources is important to assure a steady flow of processing. The…
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Taxonomy
TopicsAdvanced Database Systems and Queries · Peer-to-Peer Network Technologies · Data Management and Algorithms
