IP Library Granted Patent US 10,334,044
Granted Patent B1
US 10,334,044 · App. 15/085,876 · Granted Jun 25, 2019

Multi-cloud data migration in platform as a service (PAAS) environment

Inventors: Ron Bigman (Holon, IL); Jehuda Shemer (Kfar Saba, IL); Amit Lieberman (Raanana, IL); Assaf Natanzon (Tel Aviv, IL); Yana Vaisman (Hod Hasharon, IL); Oded Peer (Raanana, IL)
Assignee: EMC IP HOLDING COMPANY LLC
H04L67/1097G06F3/0631G06F3/0647G06F3/0646G06F16/214
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Quick Facts
Patent No.
US 10,334,044
App. No.
15/085,876
Filed
Mar 30, 2016
Granted
Jun 25, 2019
Kind
B1
Art Unit
2454
USPC
709/219
Abstract

According to one embodiment, a request is received for estimating migrating a first dataset from a first cloud system to a second cloud system. A migration cost estimation module determines a network bandwidth required to migrate the first dataset from the first cloud system to the second cloud system, determines a duplicated data time period during migration that the first dataset has to be maintained by both the first cloud system and the second cloud system for service continuity, and determines a total cost of migrating the first dataset from the first cloud system to the second cloud system based on the required network bandwidth and the duplicated data time period. It is then determined whether to migrate the first dataset from the first cloud system to the second cloud system based on the total cost.

Claims (78)

1. A computer-implemented method for multi-cloud data migration of a platform-as-a-service (PaaS) environment, the method comprising:

receiving a request for estimating migrating a first dataset from a first cloud system to a second cloud system;

determining, by a migration cost estimation module executed by a processor, a network bandwidth required to migrate the first dataset from the first cloud system to the second cloud system;

determining by the migration cost estimation module a duplicated data time period during migration that the first dataset has to be maintained as duplicated data by both the first cloud system and the second cloud system for service continuity, wherein determining duplicated data time period comprises: determining a data transfer rate representing an amount of data can be transferred over the network within a predetermined time unit; determining a transfer unit cost for transferring data for each predetermined time unit; determining a size of the first dataset; and calculating the duplicated data time period based on the data transfer rate, the transfer unit cost, and the size of the first dataset;

determining by the migration cost estimation module a total cost of migrating the first dataset from the first cloud system to the second cloud system based on the required network bandwidth and the duplicated data time period;

determining whether to migrate the first dataset from the first cloud system to the second cloud system based on the total cost; and

migrating the first dataset from the first cloud system to the second cloud system in response to a positive determination to migrate.

2. The method of claim 1 , further comprising determining processing resources required to migrate the first dataset from the first cloud system to the second cloud system, wherein the total cost of the migration is determined further based on the determined processing resources.

3. The method of claim 2 , wherein determining processing resources required to migrate the first dataset comprises:

determining a cost of a central processing unit (CPU) cycle;

determining a size of the first dataset;

determining a number of CPU cycles required to transfer a predetermined data unit; and

calculating the required processing resources based on the cost of a CPU cycle, the size of the first dataset, and the number of CPU cycles required.

4. The method of claim 3 , wherein the required processing resources are calculated based on a multiplication of the cost of a CPU cycle, the size of the first dataset, and the number of CPU cycles required.

5. The method of claim 3 , wherein determining processing resources required to migrate the first dataset further comprises:

determining a cost of an input and output (IO) cycle;

determining a size of the first dataset;

determining an IO size representing an amount of data can be accessed per IO cycle; and

calculating the required processing resources based on the cost of an IO cycle, the size of the first dataset, and the IO size.

6. The method of claim 5 , wherein the required processing resources are calculated based on a multiplication of the cost of an IO cycle and the size of the first dataset, and divided by the IO size.

7. The method of claim 1 , wherein determining a network bandwidth required to migrate the first dataset comprises:

determining a cost of moving a predetermined data unit over a network;

determining a size of the first dataset; and

calculating the required network bandwidth based on the size of the first dataset and the cost of moving a predetermined data unit over a network.

8. The method of claim 7 , further comprising determining a data compression rate of the first dataset, wherein the required network bandwidth is calculated further based on the data compression rate of the first dataset.

9. The method of claim 8 , wherein the required network bandwidth is calculated based on a multiplication of the size of the first dataset and the cost of moving a predetermined data unit over a network in view of the data compression rate.

10. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations of estimating cost for data migration, the operations comprising:

receiving a request for estimating migrating a first dataset from a first cloud system to a second cloud system;

determining a network bandwidth required to migrate the first dataset from the first cloud system to the second cloud system;

determining a duplicated data time period during migration that the first dataset has to be maintained as duplicated data by both the first cloud system and the second cloud system for service continuity, wherein determining duplicated data time period comprises: determining a data transfer rate representing an amount of data can be transferred over the network within a predetermined time unit; determining a transfer unit cost for transferring data for each predetermined time unit; determining a size of the first dataset; and calculating the duplicated data time period based on the data transfer rate, the transfer unit cost, and the size of the first dataset;

determining a total cost of migrating the first dataset from the first cloud system to the second cloud system based on the required network bandwidth and the duplicated data time period;

determining whether to migrate the first dataset from the first cloud system to the second cloud system based on the total cost; and

migrating the first dataset from the first cloud system to the second clouds system in response to a positive determination to migrate.

11. The machine-readable medium of claim 10 , wherein the operations further comprise determining processing resources required to migrate the first dataset from the first cloud system to the second cloud system, wherein the total cost of the migration is determined further based on the determined processing resources.

12. The machine-readable medium of claim 11 , wherein determining processing resources required to migrate the first dataset comprises:

determining a cost of a central processing unit (CPU) cycle;

determining a size of the first dataset;

determining a number of CPU cycles required to transfer a predetermined data unit; and

calculating the required processing resources based on the cost of a CPU cycle, the size of the first dataset, and the number of CPU cycles required.

13. The machine-readable medium of claim 10 , wherein the required processing resources are calculated based on a multiplication of the cost of a CPU cycle, the size of the first dataset, and the number of CPU cycles required.

14. The machine-readable medium of claim 12 , wherein determining processing resources required to migrate the first dataset further comprises:

determining a cost of an input and output (IO) cycle;

determining a size of the first dataset;

determining an IO size representing an amount of data can be accessed per IO cycle; and

calculating the required processing resources based on the cost of an IO cycle, the size of the first dataset, and the IO size.

15. The machine-readable medium of claim 14 , wherein the required processing resources are calculated based on a multiplication of the cost of an IO cycle and the size of the first dataset, and divided by the IO size.

16. The machine-readable medium of claim 10 , wherein determining a network bandwidth required to migrate the first dataset comprises:

determining a cost of moving a predetermined data unit over a network;

determining a size of the first dataset; and

calculating the required network bandwidth based on the size of the first dataset and the cost of moving a predetermined data unit over a network.

17. The machine-readable medium of claim 16 , wherein the operations further comprise determining a data compression rate of the first dataset, wherein the required network bandwidth is calculated further based on the data compression rate of the first dataset.

18. The machine-readable medium of claim 17 , wherein the required network bandwidth is calculated based on a multiplication of the size of the first dataset and the cost of moving a predetermined data unit over a network in view of the data compression rate.

19. A data processing system, comprising:

a processor;

a memory coupled to the processor; and

a migration estimation module executed by the processor to perform operations, the operations including

receiving a request for estimating migrating a first dataset from a first cloud system to a second cloud system,

determining a network bandwidth required to migrate the first dataset from the first cloud system to the second cloud system,

determining a duplicated data time period during migration that the first dataset has to be maintained as duplicated data by both the first cloud system and the second cloud system for service continuity, wherein determining duplicated data time period comprises: determining a data transfer rate representing an amount of data can be transferred over the network within a predetermined time unit; determining a transfer unit cost for transferring data for each predetermined time unit; determining a size of the first dataset; and calculating the duplicated data time period based on the data transfer rate, the transfer unit cost, and the size of the first dataset,

determining a total cost of migrating the first dataset from the first cloud system to the second cloud system based on the required network bandwidth and the duplicated data time period,

determining whether to migrate the first dataset from the first cloud system to the second cloud system based on the total cost; and

migrating the first dataset from the first cloud system to the second cloud system in response to a positive determination to migrate.

20. The system of claim 19 , wherein the operations further comprise determining processing resources required to migrate the first dataset from the first cloud system to the second cloud system, wherein the total cost of the migration is determined further based on the determined processing resources.

21. The system of claim 20 , wherein determining processing resources required to migrate the first dataset comprises:

determining a cost of a central processing unit (CPU) cycle;

determining a size of the first dataset;

determining a number of CPU cycles required to transfer a predetermined data unit; and

calculating the required processing resources based on the cost of a CPU cycle, the size of the first dataset, and the number of CPU cycles required.

22. The system of claim 21 , wherein determining processing resources required to migrate the first dataset further comprises:

determining a cost of an input and output (IO) cycle;

determining a size of the first dataset;

determining an IO size representing an amount of data can be accessed per IO cycle; and

calculating the required processing resources based on the cost of an IO cycle, the size of the first dataset, and the IO size.

23. The system of claim 19 , wherein determining a network bandwidth required to migrate the first dataset comprises:

determining a cost of moving a predetermined data unit over a network;

determining a size of the first dataset; and

calculating the required network bandwidth based on the size of the first dataset and the cost of moving a predetermined data unit over a network.

24. The system of claim 23 , wherein the operations further comprise determining a data compression rate of the first dataset, wherein the required network bandwidth is calculated further based on the data compression rate of the first dataset.

Assignments (10)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053546/0001) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC IP HOLDING COMPANY LLC
Reel/Frame 071642/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (045455/0001) Recorded May 20, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061753/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (040136/0001) Recorded Apr 26, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061324/0001 →
RELEASE OF SECURITY INTEREST Recorded Nov 3, 2021
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL, L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; WYSE TECHNOLOGY L.L.C.
Reel/Frame 058216/0001 →
SECURITY AGREEMENT Recorded Apr 22, 2020
From: CREDANT TECHNOLOGIES INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 053546/0001 →
SECURITY AGREEMENT Recorded Mar 21, 2019
From: CREDANT TECHNOLOGIES, INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 049452/0223 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 29, 2016
From: EMC CORPORATION
To: EMC IP HOLDING COMPANY LLC
Reel/Frame 040203/0001 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
Reel/Frame 040136/0001 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
Reel/Frame 040134/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 31, 2016
From: BIGMAN, RON; SHEMER, JEHUDA; LIEBERMAN, AMIT; NATANZON, ASSAF; VAISMAN, YANA; PEER, ODED
To: EMC CORPORATION
Reel/Frame 038163/0153 →
Cited By (3)
US 12,197,457 US 12,609,987 US 12,632,411