A data processing apparatus and method and a data container structure_WO2017118474A1.pdf

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(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT)

(19) World Intellectual Property

Organization

International Bureau

(10) International Publication Number

(43) International Publication Date WO 2017/118474 Al

13 July 20 17 (13.07.2017) W P O P C T

(51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every

G06F 17/30 (2006.01) kind of national protection available): AE, AG, AL, AM,

AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY,

(21) International Application Number:

BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM,

PCT/EP2016/050053

DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT,

(22) International Filing Date:

HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR,

5 January 2016 (05.01 .2016)

KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG,

MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM,

(25) Filing Language:

English

PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC,

(26) Publication Language:

English

SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN,

TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW.

(71) Applicant: HUAWEI TECHNOLOGIES CO., LTD.

[CN/CN]; Huawei Administration Building Bantian, Long-

(84) Designated States (unless otherwise indicated, for every

gang District, Shenzhen, Guangdong 518129 (CN).

kind of regional protection available): ARIPO (BW, GH,

GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ,

(72) Inventors; and

TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU,

(71) Applicants (for US only): TUDORAN, Radu [RO/DE];

TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE,

c/o Huawei Technologies Duesseldorf GmbH, Riesstr. 25,

DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU,

80992 Munich (DE). BRASCHE, Goetz [DE/DE]; c/o

LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK,

Huawei Technologies Duesseldorf GmbH, Riesstr. 25,

SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ,

80992 Munich (DE).

GW, KM, ML, MR, NE, SN, TD, TG).

(74) Agent: KREUZ, Georg; Huawei Technologies Duessel

Published:

dorf GmbH, Riesstr. 8, 80992 Munich (DE).

— with international search report (Art. 21(3))

(54) Title: A DATA PROCESSING APPARATUS AND METHOD AND A DATA CONTAINER STRUCTURE

303

301b 301a

305b 305a

Processor

307a

Memory

301

300

309

(57) Abstract: The invention relates to a data processing apparatus and a method and a corresponding data container structure. The

data processing apparatus (300) is configured to process a data stream (301) comprising a plurality of data elements (301 a, b) ar

ranged in a chronological order. The data processing apparatus (300) comprises a processor (303) configured to generate a plurality

of data container structures (305 a, b) on the basis of the data stream (301), wherein each data container structure (305 a, b) com

prises a subset of the plurality of data elements (301a,b) of the data stream (301) in chronological order, wherein the processor (303)

is further configured to provide each data container structure (305 a, b) with metadata (307 a, b), wherein the metadata (307 a, b)

defines the chronological order of each data container structure (305 a, b) relative to the other data container structures (305 a, b) of

the plurality of data container structures (305 a, b).

A DATA PROCESSING APPARATUS AND METHOD AND A DATA CONTAINER

STRUCTURE

TECHNICAL FIELD

Generally, the present invention relates to the field of data processing. More specifically,

the present invention relates to a data processing apparatus and method for processing a

stream of data as well as a corresponding data container structure.

BACKGROUND

In today's information-rich environment, quickly handling massive volumes of data can be

both challenging and important. Such data is often provided in the form of data streams,

i.e. continuous or semi-continuous streams of data with, in many instances, data elements

being generated in real-time, as events occur. For example, sensors used in radio-

frequency identification (RFID) in tracking and access applications can provide streaming

data on locations of objects being tracked. Responding to particular signals in the

streaming data quickly is often a critical aspect of many applications. As an example,

network monitoring systems configured to detect security threats need to detect and

report events represented in streams of data collected through monitoring.

Conventionally, processing on streaming data was performed by first storing the data in a

database. The database could then be queried to retrieve the data for further processing.

Therefore, analyzing the data in real-time was difficult, because of the limits imposed by

database access times, particularly for streams with high data rates. To address this

issue, several traditional software technologies, such as main memory database

management systems, have been redesigned.

More recently, techniques known as "complex event processing" or "event stream

processing" have been developed. By means of these techniques events, manifested as

meaningful patterns within the data streams, can be detected as a result of processing the

data stream. In this context, a new class of infrastructure has emerged in the form of

stream processing engines, such as "Aurora", "STREAM", "TelegraphCQ", to specifically

support high-volume, low-latency data stream processing applications.

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