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This paper presents ZHT, a zero-hop distributed hash table, which has been tuned for the requirements of high-end computing systems. ZHT aims to be a building block for future distributed systems, such as parallel and distributed file systems, distributed job management systems, and parallel programming systems. The goals of ZHT are delivering high(More)
iii ACKNOWLEDGEMENT It gives me a great pleasure to thank all those people who have helped me and contributed for the successful completion of this work. First of all, I would like to thank my advisor Dr. Ioan Raicu for giving me the opportunity to work under him on this project. The course I took under him triggered my passion in the field of distributed(More)
Exascale systems will bring significant challenges. This work attempts to addresses them through the Many-Task Computing (MTC) paradigm, by delivering data-aware job scheduling systems and fully asynchronous distributed architectures. MTC applications are structured as DAG graphs of tasks, with dependencies forming the edges. The asynchronous nature of MTC(More)
Efficiently scheduling large number of jobs over large-scale distributed systems is critical in achieving high system utilization and throughput. Today's state-of-the-art job management systems have predominantly Master/Slaves architectures, which have inherent limitations, such as scalability issues at extreme scales (e.g. petascales and beyond) and single(More)
The Advanced Networking Initiative (ANI) project from the Energy Services Network provides a 100 Gbps test bed, which offers the opportunity for evaluating applications and middleware used by scientific experiments. This test bed is a prototype of a 100 Gbps wide-area network backbone, which links several Department of Energy (DOE) national laboratories,(More)
Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment's US Tier-1 Center. It must deal with both scaling and wide-area distribution challenges in processing its CMS data. This poster will(More)
Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment's US Tier-1 Center, the largest of the LHC Tier-1s. The Laboratory must deal with both scaling and wide-area distribution challenges in(More)
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