Abstract: Embodiments of the present invention relate to a new data center architecture that provides for efficient processing in distributed analytics applications. In one embodiment, a subnode of a distributed processing node is provided. The subnode includes at least one processor core operatively connected to a memory. A first interconnect operatively connects to the subnode. A second interconnect operatively connects the subnode to a storage. The storage includes a first storage unit and a second storage unit. The second storage unit has lower access time and latency than the first storage unit. A storage manager is provided that is operative to allocate data between the first and second storage units based on access patterns. The storage manager preferentially relocates non-sequentially accessed data to the second storage unit from the first storage unit.

Abstract: Embodiments of the present invention relate to a new data center architecture that provides for efficient processing in distributed analytics applications. In one embodiment, a subnode of a distributed processing node is provided. The subnode includes at least one processor core operatively connected to a memory. A first interconnect operatively connects to the subnode. A second interconnect operatively connects the subnode to a storage. The storage includes a first storage unit and a second storage unit. The second storage unit has lower access time and latency than the first storage unit. A storage manager is provided that is operative to allocate data between the first and second storage units based on access patterns. The storage manager preferentially relocates non-sequentially accessed data to the second storage unit from the first storage unit.

Abstract: Embodiments of the present invention relate to a new data center architecture that provides for efficient processing in distributed analytics applications. In one embodiment, a distributed processing node is provided. The node comprises a plurality of subnodes. Each subnode includes at least one processor core operatively connected to a memory. A first interconnect operatively connects each of the plurality of subnodes within the node. A second interconnect operably connects each of the plurality of subnodes to a storage. A process runs on a first of the plurality of subnodes, the process being operative to retrieve data from the memory of the first subnode. The process interrogates the memory of the first subnode for requested data. If the requested data is not found in the memory of the first subnode, the process interrogates the memory of at least one other subnode of the plurality of subnodes via the first interconnect.

Abstract: Embodiments of the present invention relate to a new data center architecture that provides for efficient processing in distributed analytics applications. In one embodiment, a distributed processing node is provided. The node comprises a plurality of subnodes. Each subnode includes at least one processor core operatively connected to a memory. A first interconnect operatively connects each of the plurality of subnodes within the node. A second interconnect operably connects each of the plurality of subnodes to a storage. A process runs on a first of the plurality of subnodes, the process being operative to retrieve data from the memory of the first subnode. The process interrogates the memory of the first subnode for requested data. If the requested data is not found in the memory of the first subnode, the process interrogates the memory of at least one other subnode of the plurality of subnodes via the first interconnect.

Abstract: A method for determining that first and second virtual machines, that currently execute in first and second host computing systems, respectively, should both execute within a same host computing system. The method includes determining that the first and second virtual machines have accessed same data more often than a third and fourth virtual machines have accessed said same data. Based in part on this determination, the method includes determining that the first and second virtual machines should execute in a same host computing system having a same cache memory for both the first and second virtual machines and that the third and fourth virtual machines should execute on one or more different host computing systems than said same host computing system.