An optical communication system includes a signal processing apparatus and a wireless apparatus between which functions of a base station are divided, wherein a periodic symbol sequence including a cyclic prefix appended to a signal of a predetermined size to which an IFFT (Inverse Fast Fourier Transform) has been applied is transmitted between the signal processing apparatus and the wireless apparatus by means of digital RoF (Radio over Fiber) transmission, the signal processing apparatus and the wireless apparatus each include a transmission unit and a reception unit, the transmission unit includes: a compression size determination unit that acquires symbol information relating to a starting position of the symbol sequence and lengths of symbols constituting the symbol sequence, and that determines, based on the acquired symbol information, a compression size for each of symbols that are to be compressed; and a compression unit that compresses the symbol sequence in units of determined compression sizes, and the reception unit includes: an expansion size determination unit that determines an expansion size for each of symbols in the symbol sequence that are to be expanded; and an expansion unit that expands the symbol sequence in units of determined expansion sizes.

A system having a downhole sensor device and a compression device to obtain a sparse representation of data in downhole telemetry applications is described. The downhole sensor device can collect sensor data while the downhole sensor device is within a borehole. The compression device is coupled to the downhole sensor device and configured to receive the sensor data. The compression device can determine a wavelet coefficient vector for at least one row of n-tuple vectors. The wavelet coefficient vector can have a sparse representation of one or more nonzero elements. The compression device can process the wavelet coefficient vector through a set of compression algorithms, and determine a minimal bit cost of the processed wavelet coefficient vector. The compression device can select a compression algorithm from the set of compression algorithms corresponding to the minimal bit cost. The compression device can generate compressed data based on the selected compression algorithm.

Technologies for assigning workloads based on resource utilization phases include an orchestrator server to assign a set of workloads to the managed nodes. The orchestrator server is also to receive telemetry data from the managed nodes and identify, as a function of the telemetry data, historical resource utilization phases of the workloads. Further, the orchestrator server is to determine, as a function of the historical resource utilization phases and as the workloads are performed, predicted resource utilization phases for the workloads, and apply, as a function of the predicted resources utilization phases, adjustments to the assignments of the workloads among the managed nodes as the workloads are performed.

Technologies for dynamically allocating tiers of disaggregated memory resources include a compute device. The compute device is to obtain target performance data, determine, as a function of target performance data, memory tier allocation data indicative of an allocation of disaggregated memory sleds to tiers of performance, in which one memory sled of one tier is to act as a cache for another memory sled of a subsequent tier, send the memory tier allocation data and the target performance data to the corresponding memory sleds through a network, receive performance notification data from one of the memory sleds in the tiers, and determine, in response to receipt of the performance notification data, an adjustment to the memory tier allocation data.

Technologies for allocating ephemeral data storage among managed nodes include an orchestrator server to receive ephemeral data storage availability information from the managed nodes, receive a request from a first managed node of the managed nodes to allocate an amount of ephemeral data storage as the first managed node executes one or more workloads, determine, as a function of the ephemeral data storage availability information, an availability of the requested amount of ephemeral data storage, and allocate, in response to a determination that the requested amount of ephemeral data storage is available from one or more other managed nodes, the requested amount of ephemeral data storage to the first managed node as the first managed node executes the one or more workloads. Other embodiments are also described and claimed.

Methods and systems for improving coding decoding efficiency of video by providing a syntax modeler, a buffer, and a decoder. The syntax modeler may associate a first sequence of symbols with syntax elements. The buffer may store tables, each represented by a symbol in the first sequence, and each used to associate a respective symbol in a second sequence of symbols with encoded data. The decoder decodes the data into a bitstream using the second sequence retrieved from a table.

Various embodiments are generally directed to an apparatus, method and other techniques to receive a packet via an optical fabric, the packet comprising a switch mode indicator, determine a switch mode for the packet based on the switch mode indicator, and process the packet in accordance with a first protocol or a second protocol based on the switch mode.

Examples may include sleds for a rack in a data center including physical accelerator resources and memory for the accelerator resources. The memory can be shared between the accelerator resources. One or more memory controllers can be provided to couple the accelerator resources to the memory to provide memory access to all the accelerator resources. Each accelerator resource can include a memory controller to access a portion of the memory while the accelerator resources can be coupled via an out-of-band channel to provide memory access to the other portions of the memory.

The disclosure is directed at a method of data compression using inferred data. By determining the number of leading zeroes for each data structure, a general header presenting all leading zeros can be generated and use to compress the data.

Examples may include techniques to determine locations of a physical resource in a data center. A data center can include a number of racks having sled spaced. The sled spaces accommodate sleds having one or more physical resources disposed on each sled. The racks and sleds can include a beacon and beacon sensor, respectively, operable to determine a location of the sleds within the data center. Beacons and beacon sensors can exchange signals, a pod controller can receive an information element including indications of the exchanged signals and determine a location of the physical resource within the data center.