MICA is a scalable in-memory key-value store that han-dles 65.6 to 76.9 million key-value operations per second using a single general-purpose multi-core system. MICA is over 4–13.5x faster than current state-of-the-art sys-tems, while providing consistently high throughput over a variety of mixed read and write workloads. MICA takes a holistic approach that encompasses all aspects of request handling, including parallel data access, network request handling, and data structure design, but makes unconventional choices in each of the three do-mains. First, MICA optimizes for multi-core architectures by enabling parallel access to partitioned data. Second, for efficient parallel data access, MICA maps client re-quests directly to specific CPU...
Summarization: In the last decade, data processing systems started using main memory as much as poss...
Key-Value (K-V) stores are an integral building block in modern datacenter applications. With bytead...
The exploration of techniques to accelerate big data applicationshas been an active area of research...
MICA is a scalable in-memory key-value store that handles 65.6 to 76.9 million key-value operations ...
Background: Short-read aligners have recently gained a lot of speed by exploiting the massive parall...
This dissertation addresses two challenges relating to in-memory storage systems. The first challeng...
Distributed in-memory key-value stores (KVSs), such as memcached, have become a critical data servin...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Mitra is a scalable storage manager that supports the display of continuous media data types, e.g., ...
Over the last few decades, storage performance has stagnated in comparison to the performance of the...
A data structure for geographical partitioning called multi-dimensional data-indexing enables effect...
MEMS-based storage is an interesting new technology that promises to bring fast, non-volatile, mass ...
[[abstract]]MICA is a new-generation simulation environment, which provides complete simulation faci...
Performance-hungry data center applications demand increasingly higher performance from their storag...
Conventional computer systems have insufficient information about storage device performance charact...
Summarization: In the last decade, data processing systems started using main memory as much as poss...
Key-Value (K-V) stores are an integral building block in modern datacenter applications. With bytead...
The exploration of techniques to accelerate big data applicationshas been an active area of research...
MICA is a scalable in-memory key-value store that handles 65.6 to 76.9 million key-value operations ...
Background: Short-read aligners have recently gained a lot of speed by exploiting the massive parall...
This dissertation addresses two challenges relating to in-memory storage systems. The first challeng...
Distributed in-memory key-value stores (KVSs), such as memcached, have become a critical data servin...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Mitra is a scalable storage manager that supports the display of continuous media data types, e.g., ...
Over the last few decades, storage performance has stagnated in comparison to the performance of the...
A data structure for geographical partitioning called multi-dimensional data-indexing enables effect...
MEMS-based storage is an interesting new technology that promises to bring fast, non-volatile, mass ...
[[abstract]]MICA is a new-generation simulation environment, which provides complete simulation faci...
Performance-hungry data center applications demand increasingly higher performance from their storag...
Conventional computer systems have insufficient information about storage device performance charact...
Summarization: In the last decade, data processing systems started using main memory as much as poss...
Key-Value (K-V) stores are an integral building block in modern datacenter applications. With bytead...
The exploration of techniques to accelerate big data applicationshas been an active area of research...